Volume 45, Issue 5 pp. 996-1008
ORIGINAL ARTICLE
Open Access

Affective evaluation and exposure perception of everyday mobile phone usage situations

Sarah C. Link

Corresponding Author

Sarah C. Link

Department for Social Sciences, IU International University of Applied Sciences, Erfurt, Germany

Correspondence

Sarah C. Link, Department for Social Sciences, IU International University of Applied Sciences, Juri-Gagarin-Ring 152, 99084 Erfurt, Germany.

Email: [email protected]

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Marie Eggeling

Marie Eggeling

Department for Social Sciences, IU International University of Applied Sciences, Erfurt, Germany

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Ferdinand Abacioglu

Ferdinand Abacioglu

Department for Social Sciences, IU International University of Applied Sciences, Erfurt, Germany

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Christoph Boehmert

Christoph Boehmert

Department for Social Sciences, IU International University of Applied Sciences, Erfurt, Germany

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First published: 01 September 2024

Abstract

To understand citizens’ reactions to the 5G rollout, their affective reaction and perception of radiofrequency electromagnetic fields (RF-EMF) exposure are of interest. Although precursor studies on 2G–4G have investigated exposure perception mostly quantitatively, the present study applied a qualitative exploratory approach. A number of 35 individual interviews and 6 focus groups with the same participants were conducted in December 2022. Participants were recruited from several locations in Germany, where 5G rollout was at different stages. Interactive tasks, particularly an affective evaluation task and a ranking task, encouraged participants to consider their affect regarding mobile communications and their exposure perception. This approach allowed the participants to first engage with the topic of mobile communications/5G in an intuitive way, before talking about their specific beliefs on RF-EMF exposure. Several pictures showing a person (1) interacting with a mobile phone, (2) surrounded by other peoples’ mobile phones, or (3) in the vicinity of mobile phone base stations (antennas) were used as stimulus materials. Data were analyzed using an exploratory content analysis. In the affective evaluation task participants revealed more negative associations with base stations than with mobile phones. The analysis showed that the reasons for their evaluation were very diverse, whereby exposure to RF-EMF only played a subordinate role. Further, the ranking task indicated that most participants (n = 20) felt more exposed from base stations than from mobile devices. Results are mostly in-line with the literature on 2G–4G and do not indicate a substantially different exposure perception for 5G.

1 INTRODUCTION

Mobile technology is constantly evolving and impacts society in many facets. It has not only revolutionized the way we communicate with each other but also changed our access to information (Castells et al., 2009). Even how we learn and work is influenced by mobile communications (Sung et al., 2016; Yueh et al., 2016). Industry 4.0, Internet-of-Things applications and autonomous driving, among other technologies, are expected to benefit from ever faster internet (Shrivastava & Verma, 2021). Besides, faster up- and download times are also promised to private users. The rollout of the latest mobile communication standard 5G/NR has started in 2019 in Europe.

Nowadays, 5G rollout is at different stages of progress. According to the European 5G Observatory in October 2023 81% (72% back in October 2022) of the European Union's population lived in areas where it was possible to receive 5G (European Commission, 2022, 2023). In Germany, the country where the present study took place, 93% lived in such areas as of October 2023 (91% back in October 2022 (European Commission, 2022, 2023)). Despite this, fewer people can actually use 5G, as both their own mobile phone must be 5G-capable, and their mobile phone contract must include 5G. In February 2023, for example, only 40% of the German population had already used 5G (INNOFACT AG, 2023).

Mobile communications work by transmitting information between a mobile phone and a mobile phone base station (antenna) via radiofrequency electromagnetic fields (RF-EMF). Depending on the mobile communication standard, for example, 5G or its predecessor 4G, the radio waves used to transmit the data can have a different length (frequency). This affects the speed of data transmission as well as the distance over which signals can be sent. 5G, for example, transmits data at up to 10 Gb/s (Bundesministerium für Digitales und Verkehr (German Federal Ministry for Digital and Transport), 2022).

With the spread of mobile communication technology during the past decades, exposure to RF-EMF changed and controversy has arisen over safety and possible health risks of RF-EMF. Health authorities like the International Commission on Non-Ionizing Radiation Protection (ICNIRP), the World Health Organization (WHO), and the International Agency for Research on Cancer (IARC) came to different risk assessments. In their evaluations, IARC (2002) accentuated the possibility of a carcinogenic effect, whereas ICNIRP (2009) and WHO (2020) concluded that there has been no convincing evidence that RF-EMF has a negative effect on health under the existing limits (for an overview of the current state of research see Karipidis et al., 2021).

However, it is not only crucial to investigate the way mobile communications work and if they potentially affect health, but it is also important to examine the social perception of mobile communications. At the present time, this is particularly important for the latest mobile communication standard 5G. The understanding of the public's perception is relevant to better understand their RF-EMF exposure perception and for target group-oriented science and risk communication, not least, because RF-EMF used in mobile communications is perceived controversially by the public (e.g., TNS Opinion & Social, 2010).

Even though, compared to other hazards like, for example, climate change, air pollution, or genetically modified food, the topic “RF-EMF” plays only a minor role in laypeople's everyday lives (Cousin & Siegrist, 2008; Zwick, 2005), some people perceive mobile communications as a risk, and a certain percentage of the population ascribes negative health effects to RF-EMF. (In a review study, Dieudonné (2020) reports that between 1.6% of the Finish and 10.3% of the German population indicated symptoms associated with RF-EMF.) Next to laypeople's exposure perception, their affective reaction is of interest, as particularly base stations cause negative associations in laypeople (Siegrist et al., 2005). However, average mobile phone users are more exposed to their mobile phones RF-EMF than to RF-EMF emitted by base stations (Neubauer et al., 2005). In order to know how important the topic of RF-EMF is in public perception of mobile communications, it is of particular interest how the affective reaction is related to the perceived exposure and is used, for example, as a reason for a negative perception. The extent of this connection needs to be explored, as well as laypeople's exposure perception in mobile phone usage situations.

1.1 Central constructs and state of research

Before looking into the current state of research, the present study's key constructs “exposure perception” and “affect” as well as the related concept “risk perception” are defined.

1.1.1 Definitions

As the concept of exposure perception has been little researched, it is first defined in relation to risk perception. Risk perception describes the subjective evaluation of a hazard and can therefore differ between individuals. Although it is sometimes measured as an unidimensional construct with one single item, risk perception can be conceptualized and investigated rather as a multidimensional construct (Sjöberg et al., 2004; Walpole & Wilson, 2021; Wilson et al., 2019). In their multidimensional model, Walpole and Wilson (2021) take affect, exposure, vulnerability, and severity into account. For the current study, it is important to note that, for example, in Walpole and Wilson's (2021) framework, both the concept of exposure perception and affective evaluation are related to risk perception.

For the following work, exposure perception is understood as the extent to which a person feels exposed to a particular agent in a particular situation. In the present case, we refer to RF-EMF exposure, caused by mobile communications, and commonly known as “mobile phone radiation.”

Risk perception can originate from rational evaluation or feeling tendencies, so-called affect (Slovic et al., 2004). Affect is a positive or negative feeling tendency and is therefore less complex than emotions. When making a decision, laypeople often rely on an affect heuristic instead of rationally weighing up their options (Slovic et al., 2007). These mental shortcuts are one reason why laypeople and experts often evaluate situations differently (Kahneman, 2011). Nevertheless, laypeople have a certain intuition that often points them in the right direction while evaluating risks (Kraus et al., 1992).

1.1.2 State of research

With regard to the perception of mobile communications, RF-EMF risk perception can be considered well researched (e.g., Claassen et al., 2017; Cousin & Siegrist, 2010a, 2010b; Freudenstein et al., 2015; Freudenstein et al., 2015). Related concepts such as exposure perception or affective reaction have, by contrast, not been investigated much. However, empirical studies have shown that in the case of mobile communications, the affective reaction to a risk influences a persons’ risk perception (Freudenstein et al., 2015), and that exposure perception and risk perception correlate (Freudenstein et al., 2015). Nevertheless, it is unclear how the two constructs “affective reaction” and “exposure perception” regarding RF-EMF from mobile communications and particularly 5G relate to each other, that is, when laypeople explain their negative affect with perceived exposure.

The investigation of the perception of specifically 5G has so far primarily focused on general RF-EMF risk perception (Dilkova-Gnoyke et al., 2022; Frey, 2021; Koh et al., 2020) as well as on factors that influence the acceptance of 5G (Al-Maroof et al., 2021). Affective evaluation and RF-EMF exposure perception of 5G usage situations are therefore research gaps that the present study helps to close.

To learn more about the knowledge structures of laypeople, the mental models approach (Morgan et al., 2002) has proven to be useful. Mental models represent someone's existing ideas and beliefs about a certain topic that can be accurate or inaccurate. Consequently, they can be used to better understand what people (already) know, compared to expert knowledge. When people receive new information, their mental models can change. Therefore, various studies have investigated how the knowledge structures of laypeople and experts differ with regard to mobile communications in order to subsequently derive implications for science communication (Claassen et al., 2017; Cousin & Siegrist, 2010a). In the field of (RF-)EMF, various prevailing misconceptions have already been identified (Claassen et al., 2017; Cousin & Siegrist, 2010a, 2010b), some of which also allow assumptions about laypeople's RF-EMF exposure perception. A misconception that has been repeatedly identified is that the relative exposure to RF-EMF emitted by base stations is overestimated and that the relative exposure to RF-EMF emitted by mobile phones is underestimated (Claassen et al., 2017; Cousin & Siegrist, 2010b). For example, Cousin and Siegrist (2010a) found in a qualitative study that 12 out of 16 laypeople overestimated RF-EMF exposure from base stations.

With regard to mobile communications or other EMF sources, only few studies have so far focused on exposure perception (Claassen et al., 2017; Cousin & Siegrist, 2010a, 2010b; Freudenstein et al., 2015). Freudenstein et al. (2015) explicitly investigated the exposure perception regarding mobile communications by asking their respondents to rate a given set of EMF exposure characteristics that could potentially affect health risk perception. Those exposure characteristics included “strength of exposure,” “duration of exposure,” “distance to the EMF source,” “frequency,” and “number of exposure sources.” The authors concluded that the respondents correctly attributed a high level of importance to strength, duration, distance, frequency, and quantity. Other studies (Claassen et al., 2017; Cousin & Siegrist, 2010a) found that laypeople tend to misjudge the distance-exposure relationship. Additionally, Cousin and Siegrist (2010a) investigated the influence of the exposure source (antenna vs. phone) on exposure perception, and Claassen et al. (2017) looked into the location (indoor vs. outdoor). All those exposure characteristics are summarized in Figure 1. However, other characteristics not considered by the abovementioned authors could also influence laypeople's RF-EMF exposure perception.

Details are in the caption following the image
Exposure characteristics that might influence laypeople's radiofrequency electromagnetic fields (RF-EMF) exposure perception. In orange: Characteristics that have already been investigated by Freudenstein et al. (2015), Claassen et al. (2017), and Cousin and Siegrist (2010a). In blue: Characteristics that have been added in the current study.

1.1.3 Approaches to measure exposure perception

The use of pictures or sketches to measure mobile communications RF-EMF exposure perception or risk perception has already proven to be a promising approach (Claassen et al., 2017; Freudenstein et al., 2015). By not only describing a situation verbally but also visually, the content is captured at different levels of perception (Goldsmith, 1979). In addition, and especially in the present case, images can make it easier to clarify certain aspects of a situation (e.g., the appearance of a mobile phone base station or the distance to it).

A difficulty in measuring mobile communications exposure perception, however, is that RF-EMF only play a minor role in everyday life for the majority of the general public (Claassen et al., 2017; Wiedemann et al., 2017; Zwick, 2005). At the same time, by making it a topic (and therefore relevant), mobile communications can be perceived as a risk in the interview situation (Zwick, 2005).

1.2 The present study

In this study, we bring together two aspects that have hardly been linked in the literature so far: The affective reaction and the perceived exposure in situations where one is exposed to RF-EMF from mobile communications. To better understand the relationship between affect and exposure perception, two things are investigated: (1) How laypeople affectively evaluate everyday mobile phone usage situations (without explicitly being asked about RF-EMF exposure) and (2) how situational RF-EMF exposure is perceived. Besides, it is investigated whether 5G—as the latest mobile communication standard—is perceived differently from earlier mobile communication standards, for which studies on exposure perception are already available (Claassen et al., 2017; Cousin & Siegrist, 2010a; Freudenstein et al., 2015).

Besides the exposure characteristics investigated by the abovementioned authors, further exposure characteristics were identified through expert interviews for the present study and summarized in the form of a working model (see Figure 1). Although data transfer (upload vs. download) has an impact on exposure, it has not been researched as an exposure characteristic that may influence exposure perception yet. Due to the focus on 5G, network type and change (e.g., from 4G to 5G) have also been considered as exposure characteristics that can potentially influence exposure perception. Finally, visibility has no influence on RF-EMF exposure, but possibly on exposure perception.

The present study moves beyond the approach of Freudenstein et al. (2015) by asking participants to rank several RF-EMF exposure situations according to their perceived exposure as well as capturing their decision-making process. In this way, characteristics relevant to exposure perception can also be identified without specifically asking participants about them. Consequently, peoples reasoning is explored rather than imposed.

There are also important differences between our approach and the mental models approach (Morgan et al., 2002). The mental models approach aims to compare a lay model with an expert model. However, our focus was not on identifying knowledge gaps or misconceptions, but to capture the subjective, maybe incorrect perception of lay people regarding mobile communications. For this reason, a new, innovative approach was chosen for this study to capture participants perceptions on different dimensions.

Building on the current state of research and based on the research gaps identified, the following research questions (RQ) are investigated:
  • RQ1: How do laypeople evaluate different everyday mobile phone usage situations affectively and what reasons do they give for their evaluation?
  • RQ2: What role does RF-EMF exposure perception play in the evaluation of everyday mobile phone usage situations?
  • RQ3: Which (situational) exposure characteristics make laypeople feel more or less exposed to RF-EMF from mobile communications/5G?
  • RQ4: Does the public perceive 5G differently from earlier mobile communication standards?

2 MATERIALS AND METHODS

2.1 Sample

A total of 35 individual interviews and 6 focus groups with the same participants (each group containing 5 –6 participants) were conducted between December 5 and 7, 2022. Participants were recruited from several locations in Southern Germany (the cities of Augsburg and Munich, surrounding area of Augsburg). Additionally, participants were recruited from areas where 5G rollout was at different stages at that time in order to obtain a sample that was as diverse as possible. The sample was composed of 18 women and 17 men. On average, they were 39 years old (age range 18–67). A total of 14 participants owned a 5G-enabled mobile phone. The distribution per group is presented in Table 1. Besides, participants differed in their primary occupation (e.g., full-/part-time employed, studying, and retired).

TABLE 1. Sociodemographic data by group.
Recruitment area Gender (age) 5G-enabled phone
Focus group 1 City (Augsburg) 4m (20, 25, 42, 56), 2f (24, 53) 2
Focus group 2 City (Munich) 2m (50, 55), 4f (23, 23, 23, 54) 3
Focus group 3 Countryside 3m (27, 45, 61), 3f (34, 41, 52) 3
Focus group 4 Countryside, area shortly before 5G rollout 3m (18, 18, 48), 3f (35, 41, 67) 0
Focus group 5 Countryside 2m (32, 38), 3f (26, 47, 50) 2
Focus group 6 Countryside 3m (22, 53, 62), 3f (22, 39, 49) 3

2.2 Data acquisition

Individual interviews and focus groups took place at the IU International University of Applied Sciences in Augsburg and were conducted by eight interviewers that were trained in advance. All focus groups were led by the same interviewer. Following Dilkova-Gnoyke et al. (2022), all participants of a focus group were first interviewed in parallel, before meeting in the focus group. This procedure enabled us to gradually explore the topic of “5G and mobile communications,” by first asking questions about individual opinions, impressions, and prior knowledge, without being influenced by the group. In contrast to the focus group, the individual interviews offered a more protected space in which the interviewees could share their views, as well as their knowledge and lack of knowledge, without potentially feeling social pressure from their peers. Consequently, the individual interviews captured the uninfluenced perception of 5G/mobile communications, whereas the focus groups required an active exchange of opinions and weighing up of arguments. The focus groups also provided an insight into how participants deal with contradictory arguments by other participants and react to explanations from others. Both the individual interviews and the focus group discussions were conducted using a (semi-) structured interview guide. This ensured that the same topics were discussed in all individual interviews and focus groups. Individual interviews were audio recorded, and focus group discussions were video recorded.

Among other things, the individual interviews assessed data, such as socio-demographic information, participants’ risk perception of certain pollutants, their understanding of risk, and 5G-related knowledge. The subsequent focus group aimed to assess participants’ affect toward mobile communications/5G, their mobile communications/5G exposure perception and risk perception, and base station siting preferences. Participants were also asked whether and which precautionary measures they take and how they assess scientific uncertainty. Participants were encouraged to share their personal opinions and were advised that there were no right or wrong opinions.

The results presented here focus on affective reaction and exposure perception, assessed in two interactive tasks in the focus groups (affective evaluation and ranking task), but also refer to statements regarding 5G and participants risk perception, captured in the individual interviews.

2.3 Materials

In a part of the individual interviews, participants were shown a sketch of a village with several potential risks depicted in or in the vicinity of it, such as a factory, a highway, an airplane, or a base station. They were instructed to describe the picture. Depending on whether the participants identified a potential hazard, they were asked to rate the risk associated with it: “How do you rate the various aspects [such as car fumes, noise, mobile communications, …] on a scale from 1 to 10, where 1 means absolutely harmless and 10 very dangerous?.” As we were mostly interested in the evaluation of mobile communications, for the subsequent analysis a distinction was made between people who mentioned the base station and rated it as >5 (high risk perception) and others.

The affective evaluation and exposure perception tasks were based on the same stimuli: pictures showing everyday situations where someone is surrounded by mobile communication technology, later on referred to as “mobile phone usage situations.” The aim was to capture participant's thoughts on these everyday mobile phone usage situations. Therefore, a diverse set of situations was shown (see Figure 2) in which a person is using a mobile phone (five pictures) or is in the vicinity of several mobile devices (one picture) or mobile phone base stations (three pairs of pictures). The base station situations were each showing a before-after-comparison, for example, an upgraded 4G base station, and consisted therefor of two pictures. Situations are shown as pictured in Figure 2—without titles or an explanatory text. However, some introductory context was given by the interviewer, like “imagine that you are the person in the picture and have not been home for three days. The view from your living room window has changed during this time.” Due to limited time, not all situations were discussed in all focus groups.

Details are in the caption following the image
Exposure situations used in the affective evaluation task and ranking task. The situations show: (A) a video call with Wi-Fi reception, (B) a video stream with 5G reception, (C) a mobile phone in a trouser pocket with 5G reception, (D) a person on public transport not using a phone him-/herself, but being surrounded by other people using a phone, (E1/E2) a base station that has been upgraded from 4G (E1) to 5G (E2), (F1/F2) a mobile radio site (F1) to which two antennae have been added (F2), (G) a phone call, (H) data being uploaded with 4G reception, (I1/I2) a new mobile radio location (I2), where there was nothing before (I1).

When selecting the situations, several exposure characteristics that may influence laypeople's exposure perception were considered (see Figure 1). As no complete variation of all characteristics identified was possible, it was decided to focus on quantity, change, proximity to particular body parts (head and reproductive organs), EMF source, network type, and data transfer. Still, most situations represented more than one exposure characteristic. For example, network type and data transfer were varied in the same mobile phone usage situations, with 5G reception and downlink in situation B, 5G reception and up- and downlink in situation C, 4G reception and uplink in situation H, and Wi-Fi reception and up- and downlink in situation A.

Network type and change were chosen because of our focus on 5G and its recent implementation, and data transfer was chosen as it had not been investigated yet. Quantity was chosen, because 5G requires more base stations than earlier mobile communication standards. EMF-source and proximity to particular body parts were chosen because a couple of misconceptions regarding these two exposure characteristics have been identified in the past. Further, only situations where devices or base stations are visible were shown, for example, through visible infrastructure instead of showing hidden base stations.

The order in which the pictures were introduced was the same in all groups (the order can be found in Figure 2). This procedure was deliberately chosen to obtain better comparability between the groups. Besides, the mobile phone situations were introduced first because “base stations are more closely related to risk concepts than home appliances” (Siegrist et al., 2006, p. 1021), and we were interested in the most intuitive evaluation of the situations, without imposing a focus on risk on the participants.

First, participants were asked to evaluate each situation affectively: “Please put yourself in the place of the person depicted in the picture. So, imagine that you are that person. Then please reach for the plus-card as quickly as possible if you have a good feeling. If you have a bad feeling, please reach for the minus-card.” After discussing their immediate affect toward each situation, participants were asked to rank the pictures according to their perceived exposure in the situations shown: “How would you arrange the pictures hierarchically? Please place the picture in which the person, i.e., you, is in your opinion most exposed to mobile communications in general in first place, and the picture in which the person, i.e., you, is least exposed to mobile communications in last place.” Once the participants had decided on an order, they could look at the rankings of the other participants. The reasons for their ranking were discussed afterward.

This two-step approach was chosen to initially receive an intuitive assessment from the participants of situations that are commonplace for them, but in which they probably think less about their exposure to RF-EMF. Thus, the concept of exposure was only introduced in a second step and the discussion was deliberately guided in this direction through the ranking task.

2.4 Data analysis

The recordings of the individual interviews and the focus groups were transcribed using the software F4transkript (dr. dresing & pehl GmbH, 2021) by three of the authors and two student assistants. A transcription guideline was used, which was based on Dresing and Pehl (2015) and adjusted to the study's circumstances. Afterward the qualitative data were structured using the software MAXQDA (VERBI Software, 2021). Guided by the initial RQs, categories were formed deductively and then extended inductively by additional categories, following the procedure recommended by Mayring (2015). The coding was carried out by one of the authors (SL), whereby each document was checked by a second person (ME or FA) and amended or discussed where necessary. Moreover, the results of the interactive tasks—the affective evaluation and ranking of exposure situations—were analyzed.

3 RESULTS

The results are organized and presented around the RQs. To answer RQs 1–3, only statements from the focus groups were used. Accordingly, the number of focus groups in which a particular aspect was mentioned is presented here. “Mentioned” can refer to the mere naming of a topic as well as to a deeper discussion within the group. Further, participants risk perception indicated in the individual interviews is used to contextualize participants affective reactions (RQ1). The results for RQ1 and RQ2 are presented together, as they both relate to the results of the affective evaluation task and therefore cannot be analyzed separately in terms of content. The investigation of RQ4 draws on statements from the focus groups as well as on statements from the individual interviews, as participants were already asked to explain what they understand by 5G in the individual interviews. Therefore, the number in brackets indicates the number of participants, not to the number of focus groups here.

3.1 Affective evaluation and the role of exposure perception

  • RQ1: How do laypeople evaluate different everyday mobile phone usage situations affectively and what reasons do they give for their evaluation?
  • RQ2: What role does RF-EMF exposure perception play in the evaluation of everyday mobile phone usage situations?

The affective reaction to the different situations varied considerably. Although the videocall situation (A) was evaluated most positively, the additional base stations situation (F2) was evaluated most negatively. In general, each situation triggered positive and negative affect within our sample (see Table 2). Participants gave a variety of reasons for their evaluation, which are described in detail below. When talking about RF-EMF exposure, they were mostly referring to it as “radiation.”

TABLE 2. Distribution of affective reactions by exposure situation.
Videocall (A) Streaming (B) Trouser pocket (C) Public transport (D) Upgrade (E) Additional base stations (F) Phone call (G) Upload (H) New site (I)
n 35 35 35 35 35 29 23 12 12
Pos. 30 23 10 6 15 4 13 8 2
Neg. 4 10 25 28 13 25 9 4 10
Tie 1 2 0 1 7 0 1 0 0

Video telephony (A, discussed in six groups) was perceived positively by most participants because seeing each other is regarded as important (mentioned in four groups). It was reported that, compared to a conventional phone call, this form of telephony is closer to personal contact (mentioned in three groups), as people can see each other during the call. It was emphasized that video telephony is “more intimate” (female, 23, city), and one can have more profound conversations and better perceive feelings of the other person (mentioned in 3 groups). It is therefore not surprising that video telephony is mainly used in a private environment (mentioned in all six groups), but several participants also reported its use at work (mentioned in four groups) or at university/school (mentioned in three groups). “Radiation” was not mentioned in this context. The situation is different when talking on the phone (G, discussed in four groups) with a mobile phone to the ear. In this situation, “radiation” was mentioned in three focus groups, whereby participants from two groups were unsure whether their beliefs about exposure were correct: for example, “That's what they always say: At the ear is really bad. Most of the radiation. Is that true?” (female, 49, countryside). However, heat generation and headaches (each mentioned in one group) were also perceived as negative side effects independently from “radiation”. At the same time, the situation was perceived as ordinary (mentioned in two groups), and availability was also perceived as positive (mentioned in three groups).

Although some people emphasized the good 5G reception (mentioned in three groups) for video streaming (B, discussed in all six groups), participants from two of these focus groups pointed out that this is an activity they primarily perform with Wi-Fi. The fact that mobile use is generally possible, regardless of the Wi-Fi, was discussed in two focus groups. Although playing games on the phone was perceived as a waste of time (mentioned in three groups), informative videos—like instructions, learning and videos.—that can be accessed at any time were perceived positively (mentioned in four groups). Fun and distraction were discussed in two focus groups each as reasons for their positive affect, passing the time was discussed in one group. Regarding the upload situation (H, discussed in two groups), the fact that one can share information at any time was positively emphasized (mentioned in all two groups). 4G reception was rated positively by one group, with one person stating that: “5G would probably be even faster” (male, 27, countryside). However, one focus group also saw advertising and influencers as risks.

Triggered by the mobile phone in the front pocket (C, discussed in six groups), health concerns such as infertility as a result of RF-EMF were thematized in four focus groups, for example, “men shouldn't put the mobile phone in their trouser pockets, because otherwise the reproduction rate might drop a little” (female, 49, countryside). But participants were not sure whether their beliefs were right: “Whether that's true, I don't know” (same participant). In one group, “radiation” was mentioned, without deducing any consequences for health: “At first you think of the rays” (male, 22, countryside). The mobile phone was also experienced as too close to the body in this situation (mentioned in four groups). However, participants from four focus groups found it simply uncomfortable to carry the mobile phone in the front trouser pocket, and therefore had a negative affective reaction to the situation. On the other hand, having a mobile phone at hands reach made participants feel secure (mentioned in two groups).

The situation in which several people use a mobile phone (public transport, D, discussed in six groups) primarily triggered social concerns in the participants. The most common fear was a loss of sociability or a decrease in interpersonal communication (mentioned in five groups). Three groups discussed their concern of social decline, reflected in statements such as “head-down generation” (male, 42, city). However, participants from three focus groups stated that it was no different in the past and drew a comparison with reading books, among other things: “Well, I think when book printing really started to boom in practice, that there was exactly the same discussion” (male, 53, countryside).

The upgrade (E, discussed in six groups) of the base station from 4G to 5G was not perceived as a relevant change (mentioned in four groups), or it was emphasized that the base station had already been there (mentioned in three groups). Further, the upgrade made the network expansion visible, and participants were in favor of technological progress (mentioned in four groups). Visual aspects like defacement were a topic in two focus groups, and “radiation” was mentioned in four groups. On the one hand, “radiation” seemed to be a subconscious topic: “You always have the negative radiation in the back of your mind” (male, 32, countryside), but concrete ideas regarding exposure also influenced the evaluation: “I still have in my head that it is always said that the radiation is highest when you are right next to the mast” (male, 42, city). Again, participants were not sure whether their convictions were correct: “I don't know how it really is” (same participant). For the additional base stations (F, discussed in five groups), the visual aspect dominated the affective reaction (mentioned in four groups). Moreover, the usefulness of the additional antennas was questioned in four focus groups. One powerful base station would be preferred to three less powerful antennas by participants from three focus groups. Two focus groups talked about “radiation” that literally becomes visible here: “For me, this is visual: it radiates” (male, 56, city) and assumed that more base stations would lead to more “radiation”: for example, “I find this radiation more dangerous now, when there are three [antennae] instead of one” (female, 41, countryside). The new site (I, discussed in two groups) was perceived as too close (mentioned in all two groups). Likewise, participants would have liked to have a say in the construction of a new site (mentioned in one group) or expected to be informed in advance (mentioned in one group). “Radiation” was mentioned as a criterion in one focus group, whereby the respective participant referred to her own negative experiences with “electro smog.”

In particular, participants who showed high risk perception toward mobile communications in the individual interviews (values >5 on a scale from 1 to 10) rated those situations in which mobile phone base stations are central predominantly negatively. The upgrade situation only received two positive ratings from participants with high risk perception of mobile communications. In contrast, five participants evaluated the situation negatively. Among those with high risk perception, the additional base stations situation and the new site situation only triggered negative or neutral affect.

To sum up, situations that show the use of a mobile phone mostly led to a positive affective reaction by the participants. The evaluation was based on, among other things, the fact that they themselves use their mobile phone in the situations shown and that it enables them, for example, to stay in touch with family and friends, to entertain themselves or to access information at any time. Negative affect, on the other hand, was a reaction to the concern of social decline, esthetic aspects, or a lack of understanding for the new/expended site, and “radiation.” Although video telephony, streaming and uploading in particular evoked a positive affect, new or additional base stations triggered a negative affective reaction, as did situations in which the mobile phone is close to the body (RQ1). RF-EMF only played a subordinate role with 12 of the 35 participants naming “radiation” as reason for their negative affect at least once. Nevertheless, associations with RF-EMF seem to be triggered particularly by situations where the mobile phone is close to the body or base stations are visible (RQ2).

3.2 Exposure perception

  • RQ3: Which (situational) exposure characteristics make laypeople feel more or less exposed to RF-EMF from mobile communications/5G?

The ranking task and the subsequent explanation of the exposure perception revealed a wide variety of beliefs among the participants, which were often very individual. The presentation of the results starts with the exposure characteristics that have already been investigated by other researchers, followed by the exposure characteristics we have identified, and exposure impact beliefs participants brought up themselves. Figure 3 shows three examples of how the situations were ranked by the participants.

Details are in the caption following the image
Exemplary representation of the results of the ranking task. The blue frame (as in Example 2) indicates that the situations within the frame received the same rank by the participant.

3.2.1 Exposure characteristic: EMF-source

In the ranking task it was revealed that pictures of base station antennas were associated by 20 participants with a higher exposure than the mobile phone situations (as in Example 3 in Figure 3). Among other things, it was argued that there is more data traffic next to a base station, because several mobile phones are exchanging information with one single base station (mentioned in three groups). In contrast, 14 participants ranked at least one mobile phone situation higher than at least one base station situation (as in Examples 1 and 2 in Figure 3). The main argument here was the proximity to the body (for more details see Section 3.2.3).

Although not explicitly specified by us as an option, one person made no distinction between base station and mobile phone. However, participants from four focus groups admitted feeling unsure about their general ranking: “So this is purely intuitive” (female, 41, countryside).

3.2.2 Exposure characteristic: quantity

Although a higher number of base station antennas (situation F2) was also associated with a higher exposure (28 participants ranked the situation with three base station antennas higher than the situations with one base station antenna, as in Examples 1–3 in Figure 3), this conclusion does not seem to be so clear with regard to mobile devices. For base stations, participants concluded that “three masts radiate more than one” (quote by female, 41, countryside; mentioned in 2 groups). The multi-device situation (D) was ranked in the middle third by 22 people (as in Examples 2 and 3 in Figure 3). One participant argued: “I found that difficult in the train because I'm actually the person who isn't at the phone, but everyone around me somehow is. […] I sort of placed it in the middle because of that” (female, 26, countryside). However, arguments for both high and low situational exposure perception could also be found: “I would rate D higher with the group of people because […] I think in my mind that 5G works through directed radiation. And if there are many devices there, like in this situation, there might be more radiation directed to that spot where I am too” (male, 20, city). Another participant from the same focus group countered: “I think the opposite, because it's more like a network […]. That means, with the old standard […] the device would radiate stronger. With 5G you can connect as a scope and then you need less power” (male, 25, city).

3.2.3 Exposure characteristic: proximity

In addition, it was observed that the closer the mobile device is to sensitive body parts (head, reproductive organs), the higher the situation is ranked. A total of 23 persons ranked at least 1 of the 2 situations (phone call with mobile phone at the ear [G] or mobile phone in the trouser pocket [C]) higher than the situations in which the mobile phone is further away from the body. Eleven of these 23 participants even ranked both situations in which the mobile phone is close to sensitive body parts higher than the other mobile phone situations (as in Examples 1 and 3 in Figure 3). Almost half of the participants (n = 17) ranked the phone call situation (G) and the pocket situation (C) directly after each other (as in Examples 1 and 3 in Figure 3). The role of proximity was discussed in three focus groups. Although participants from two focus groups assumed that their exposure would be lower the further away the exposure source is, others thought that distance does not have an influence on their RF-EMF exposure (mentioned in two groups). For example, although one participant explicitly assumed that “the closer the device is to the body, the more dangerous” it is (male, 20, city), another participant made no distinction: “Well, proximity directly I think is not decisive at all” (male, 55, city).

3.2.4 Exposure characteristics: network type and data transfer

As the variation of the exposure characteristics “network type” and “data transfer” occurred equally in the respective situations, they must be considered together. Therefore, in this case—but also more generally—rankings cannot be attributed exclusively to one characteristic but rather represent a weighing up of several factors. A few participants (n = 9) attributed higher exposure to the two 5G situations than to the 4G and Wi-Fi situations, meaning that neither “upload” nor “videocall” was ranked before the two 5G situations (none of these cases depicted in Figure 3), namely, because of increasing radiation (mentioned in four groups): “I actually unconsciously placed it at the end, because I think that 5G, with more data and complexity, causes more radiation” (male, 32, countryside). Due to the small number, however, this does not appear to be a systematic effect.

Although two participants (same group) concluded: “radiation is radiation” (female, 49, countryside), the situation was different for the 4G base station (situation E1) compared to the single 5G base station (situation E2). About two thirds (n = 21) of the participants ranked the 5G base station higher than the 4G base station (as in Examples 1–3 in Figure 3). “My opinion is that the radiation from the phone itself doesn't increase or decrease whether I have 4G, 3G, or 5G. But the mast, I believe, radiates more. […] Because the more power it has to deliver, the more I have to put into it, and probably the more radiation it produces,” one participant (female, 35, countryside) stated. Another participant from the same group assumed that “the old mast will be used less then” (male, 18, countryside). Further 13 people ranked it somewhere in the middle of the 5G base stations (none of these cases depicted in Figure 3).

A different picture emerged for data transfer: The situation in which data are sent and received (A) tended to be ranked lowest (n = 18, none of these cases depicted in Figure 3). The upload situation (H) was most likely to be sorted between the streaming and the video calling situations with 16 placements (as in Example 1 in Figure 3). Twelve people assumed that video streaming (situation B) would cause the highest exposure (none of these cases depicted in Figure 3). Four people made no distinction between the three usage situations “video calling,” “uploading,” and “streaming” (as in Example 2 in Figure 3). The justifications related to up- or downloading were rather sparse. One participant assumed that “it is constantly doing that: receiving, sending, receiving, sending” (male, 62, countryside), that the data volume has an influence (mentioned in 2 groups, e.g., “It depends on how big the file is” (male, 38, countryside)), and that it is only a temporary process (mentioned in 2 groups). One participant assumed that receiving data causes more radiation than sending data.

3.2.5 Further exposure impact beliefs

In addition to the exposure characteristics we identified, the images triggered further associations with regard to RF-EMF exposure. For example, the understanding of how RF-EMF spread varied between participants. One person believed “that this one mast would not be so bad, because this mast radiates a certain radius. And there is another mast in another area and this one also radiates a radius. And where the radii are overlapping, the radiation is twice as high” (male, 32, countryside). Although this misconception was an individual opinion, three participants (from two groups) correctly assumed that: “Directly under the mast […] you get the least radiation” (male, 61, countryside).

However, assumptions were also made about the type of “radiation,” whereas most of them were correct. For example, one person said: “So we are getting more and more close to this microwave radiation” (male, 53, countryside). Participants from one focus group were convinced that “the radiation pulsates slightly” (male, 61, countryside). In addition, one person assumed “that 5G works through directional radiation” (male, 20, city), whereas another person from the same group assumed that the radiation “goes in all directions when using the internet” (male, 25, city). The same person pointed out that “when you make a phone call, the mobile phone switches off the mobile data.”

Besides having specific beliefs about situational exposure, some participants were also willing to consider the arguments of other participants and adapt their own evaluation: for example, “So I would really only change my ranking based on what has just been said,” one participant noted (female, 34, countryside).

In conclusion, to answer RQ3, it can be said that the EMF source has a great influence on exposure perception. In particular, the exposure characteristics “network type” and “quantity” only appear to be relevant in the case of base stations. When dealing with mobile phones, we could not observe any notable differences within the rankings. Although mobile phones tend to be associated with lower levels of exposure when they are further away from the body, certain parts of the body, such as the head or reproductive organs, appear to be subject to special protection: Participants tend to associate higher exposure with these situations (phone call, trouser pocket) compared to other mobile phone usage situations. The analysis, but also the three exemplary rankings above (Figure 3), shows that exposure perception can vary greatly between individuals.

3.3 5G versus Earlier mobile communication standards

  • RQ4: Does the public perceive 5G differently from earlier mobile communication standards?

Both the affective reaction to the situations and their ranking according to the perceived exposure (see Sections 3.2, 3.2.4, and 3.2.5) have shown that 5G and earlier mobile communication standards are perceived differently in some respects. Both the individual interviews and the focus groups revealed that the participants had the following convictions: The vast majority of participants (n = 30) believed that 5G will transmit data faster than previous mobile communication standards, resulting in a higher data transmission rate (n = 9). However, there was greater disagreement among participants with regard to the change in RF-EMF exposure. Although one participant assumed that RF-EMF exposure would decrease with 5G, participants from five focus groups came to the opposite conclusion. Several participants also assumed that 5G will require different (n = 7) and more (n = 5) mobile phone base stations than its predecessor, whereas the possibility of a decrease of the number of base stations was not mentioned at all.

To summarize, participants revealed beliefs about, for example, changing infrastructure or new frequencies for 5G. Although higher exposure compared to 4G (or Wi-Fi) was primarily associated with base stations, 5G reception on mobile phones played a rather subordinate role. However, 5G is not perceived as a fundamentally new technology by the participants, but rather as a continuation of mobile communications technology (RQ4).

4 DISCUSSION

The present study investigated how laypeople perceive mobile communications, especially 5G. To this end, both their affective reaction to everyday mobile phone usage situations (RQ1, RQ2) and their situational RF-EMF exposure perception (RQ3) were recorded. A novel, innovative approach was used, which made it possible to assess the role of RF-EMF exposure perception and affect regarding the topic of RF-EMF, by using everyday situations that are easy to imagine for laypeople. This also allowed us to assess the role of RF-EMF exposure perception in affective reactions (RQ2). Finally, the stimulus material, which depicts Wi-Fi, 4G and 5G situations, as well as the knowledge exploration in the individual interviews, allowed us to make assumptions as to whether and in what respect 5G is perceived differently from previous mobile communication standards (RQ4).

In general, it has been shown that mobile phone usage tends to be evaluated more positively than base stations, because it is the mobile phone people use to, for example, stay in touch with family and friends. Further, the more positive evaluation of mobile phones could be because mobile phones are much more present in our everyday lives than base stations and we are used to seeing them. This is in-line with the findings of Slovic et al. (2007, p. 1336), who found in an experiment that “the more frequent the prior exposure to a stimulus, the more positive the response.” It can also be observed that participants use different types of arguments when evaluating mobile phone and base station situations. These arguments go beyond exposure to EMF or health effects that have already been explored by Freudenstein et al. (2015) and Cousin and Siegrist (2010a). Although the affect toward mobile phones is strongly influenced by personal usage patterns, the concern some people have has its origin in social concerns. However, the assessment of base stations is more about visual aspects, exposure to EMF, and a lack of understanding. This is in-line with Hermans (2015) who found that citizens reject base stations not only because of health concerns, but also for esthetic reasons or because they want to have a say in the choice of location. Exposure to RF-EMF generally plays a rather subordinate role in the affective evaluation and was mainly brought up in base station situations and in situations in which the mobile phone is close to the body. Nevertheless, it appears that the affective reaction goes hand in hand with the perception of exposure, which means that they cannot always be clearly separated. Situations that were evaluated positively also tended to be associated with lower exposure and vice versa, which is in-line with the findings of Slovic et al. (2007). Besides, some participants were unable to detach from affective arguments when assessing RF-EMF exposure perception, which may be because of our study design where the affective evaluation took place first.

Regarding exposure perception, results are mostly in-line with the literature on 2G– 4G and do not indicate a substantially different perception for 5G. But even beyond exposure perception, 5G is perceived as being rather similar to previous mobile communication standards, despite single differences, such as the data transmission rate or the increasing number of base stations. Our study indicates that exposure from base stations tends to be overestimated, whereas exposure from mobile phones tends to be underestimated. This is in-line with studies on earlier mobile communication standards (Claassen et al., 2017; Cousin & Siegrist, 2010b; Freudenstein et al., 2015), although we could see, for example, that in our sample more participants correctly assessed the influence of the EMF source by attributing higher exposure to mobile phones than to base stations compared to Cousin and Siegrist (2010a). We do not know the reason for this, but possible explanations could be a better intuitive assessment (Kraus et al., 1992), as well as more correct beliefs about how mobile communications work. This could be a result of successful science communication. However, this should be confirmed in quantitative studies—as well as explicitly for 5G. To sum up, most of the exposure characteristics identified prior to the study were also named by participants as influences on exposure perception, whereby several exposure characteristics are usually considered in the assessment and are weighed against each other. Therefore, participants came to different conclusions, regardless of their prior knowledge or preconceptions.

4.1 Limitations

It should be noted that the sample is quite small due to the qualitative design and is not representative of relevant populations. In order to obtain the broadest possible spectrum of potential responses, the vast majority of questions were formulated in an open manner. Consequently, it is possible that more people than indicated share a certain view or support certain arguments but did not actively express them. Due to the focus group setting, it is possible that people may not have wanted to repeat an argument that had already been mentioned. At the same time, it is possible that an argument only became relevant for someone because another person brought it up. It is also possible that the topic only became relevant for the participants because they were confronted with it in the study situation (Zwick, 2005). Consequently, this challenge in measuring exposure perception could not be met with the study design. In addition, there was no complete variation of exposure characteristics within the situations that would allow for all systematic comparisons. This makes it difficult to attribute the exposure perception and results of the ranking task to a single criterion, such as 5G reception. These limitations could be overcome by collecting data quantitatively and systematically comparing situations that differ only in the criterion one is interested in.

Another limitation is the fact that the stimuli served as a starting point for the discussion and therefore also evoked associations related to them. In some cases, the stimuli were reinterpreted by the participants so that they were not exactly evaluating the situation depicted (both affectively and in terms of the associated exposure). For example, some participants assumed that they would lock their mobile phone when they had it in their (trouser) pocket, and it would therefore be inactive, whereas the sketch showed data being sent and received. This could possibly be avoided by asking participants not to put themselves in the situation and apply it to themselves, but to evaluate it for the person depicted.

5 CONCLUSION

The two-step evaluation of everyday mobile phone usage situations (first affective, then rational with a focus on exposure), provided novel insights into participants’ argumentation patterns. In particular, entering the complex topic of “RF-EMF exposure perception” via the affective reaction to selected situations allowed us to identify arguments that are primarily relevant for laypeople when forming opinions about mobile communications but are not necessarily related to exposure perception or even risk percseption. As this approach has allowed us to gain qualitative and deep insights into the participants’ perceptions, which go beyond the mere measurement of risk perception or exposure perception, we assume that the approach is also suitable for researching other topics. The approach is most likely to deliver results of a similar quality if the potential risks have—similar to mobile communications—little everyday relevance (e.g., other radiation protection topics or wind energy), and for which, as a result, laypeople are less likely to have a strong preconception or opinion.

The present study has shown that RF-EMF exposure is only one of many reasons that lead to a sometimes-negative assessment of situations in which a person is using a mobile phone, or base stations are visible. Particularly in the case of situations where the mobile phone was present, other arguments predominated. In the case of base stations, visual aspects in particular emerged as recurring argumentation patterns. Therefore, future researchers investigating the perception of mobile communications should be aware that perception is very complex and goes far beyond the aspect of exposure to RF-EMF.

This finding also has implications for risk communication: The results of the affective evaluation task indicate that it is not primarily RF-EMF, that is, perceived as a risk in relation to mobile phones, but above all social concerns. Objection to social decline dominates the concern of RF-EMF. Further, the ranking task showed that many, albeit not the majority, correctly assumed that they are more exposed to RF-EMF by their mobile phones than by base stations. Nevertheless, the majority assumed the opposite.

The present study has received ethical approval from the Ethics Committee of the IU International University of Applied Sciences.

ACKNOWLEDGMENTS

The present study was conducted as part of the HORIZON EUROPE project “SEAWave” (“scientific-based exposure and risk assessment of radiofrequency and mm-wave systems from children to elderly (5G and beyond)”). We would like to thank our project partners who contributed to the qualitative research into the perception of everyday mobile phone usage by laypeople.

Open access funding enabled and organized by Projekt DEAL.

    CONFLICT OF INTEREST STATEMENT

    The authors declare no conflicts of interest.

    FUNDING INFORMATION

    European Union under, Grant number: 101057622 (SEAWave project)

    DATA AVAILABILITY STATEMENT

    The anonymized transcripts of the individual interviews and the focus groups are (in German language) openly available in the Open Science Framework (OSF) at osf.io/zbks9.

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