| 1. |
- Chen, Xiaowei, et al.
(författare)
-
Do persuasive designs make smartphones more addictive? : A mixed-methods study on Chinese university students
- 2023
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier BV. - 2451-9588. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- Persuasive designs have become prevalent for smartphones, and an increasing number of users report problematic smartphone use behaviours. Persuasive designs in smartphones might be accountable for the development and reinforcement of such problematic use. This paper uses a mixed-methods approach to study the relationship between persuasive designs and problematic smartphone use: (1) questionnaires (N=183) to investigate the proportion of participants with multiple problematic smartphone use behaviours and smartphone designs and applications (apps) that they perceived affecting their attitudes and behaviours, and (2) interviews (N=10) to deepen our understanding of users’ observations and evaluations of persuasive designs. 25% of the participants self-reported having multiple problematic smartphone use behaviours, with short video, social networking, game and learning apps perceived as the most attitude- and behaviour-affecting. Interviewees identified multiple persuasive designs in most of these apps and stated that persuasive designs prolonged their screen time, reinforced phone-checking habits, and caused distractions. Overall, this study provides evidence to argue that persuasive designs contribute to problematic smartphone use, potentially making smartphones more addictive. We end our study by discussing the ethical implications of persuasive designs that became salient in our study.
|
|
| 2. |
- Colombo, Simone, et al.
(författare)
-
Mining players’ experience in computer games: Immersion affects flow but not presence
- 2023
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier. - 2451-9588. ; 12
-
Tidskriftsartikel (refereegranskat)abstract
- Understanding how different levels of immersion influence the experiences of flow and presence can shed light on the intricate interplay between these constructs and provide valuable insights into the factors that contribute to engaging and immersive gameplay. The independent variable, immersion, was manipulated in three conditions (high, moderate, and low) in a between-subject design within the video game Minecraft. Participants were asked to complete 15 min of gameplay and then fill out the questionnaires concerning flow and presence. The experiment was conducted remotely on a video-sharing platform. Bayesian analysis revealed an effect of immersion level on flow, while no evidence of an effect was found for the experience of presence. This study provides evidence in favor of a relation between flow and immersion while supporting a presumed double dissociation of immersion from presence. Future research using a Bayesian approach is encouraged to build further knowledge on this research topic.
|
|
| 3. |
- Ekström, Axel G., et al.
(författare)
-
Self-imposed Filter Bubbles : Selective Attention and Exposure in Online Search
- 2022
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier BV. - 2451-9588. ; 7
-
Tidskriftsartikel (refereegranskat)abstract
- It is commonly assumed that algorithmic curation of search results creates filter bubbles, where users’ beliefs are continually reinforced and opposing views are suppressed. However, empirical evidence has failed to support this hypothesis. Instead, it has been suggested that filter bubbles may result from individuals engaging selectively with information in search engine results pages. However, this “self-imposed filter bubble hypothesis” has remained empirically untested. In this study, we find support for the hypothesis using eye-tracking technology and link selection data. We presented partisan participants (n = 48) with sets of simulated Google Search results, controlling for the ideological leaning of each link. Participants spent more time viewing own-side links than other links (p = .037). In our sample, participants who identified as right-wing exhibited a greater such bias than those that identified as left wing (p < .001). In addition, we found that both liberals and conservatives tended to select own-side links (p < .001). Finally, there was a significant effect of trust, such that links associated with less trusted sources were attended less and selected less often by liberals and conservatives alike (p < .001). Our study challenges the efficacy of policies that aim at combatting filter bubbles by presenting users with an ideologically diverse set of search results.
|
|
| 4. |
- Engström, Emma, PhD, 1982-, et al.
(författare)
-
Comparing and modeling the use of online recommender systems
- 2024
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier BV. - 2451-9588. ; 15
-
Tidskriftsartikel (refereegranskat)abstract
- This study explores a new way to model the adoption of AI, specifically online recommender systems. It aims to find factors that can explain the variation in usage in terms of differences between individuals and differences over technologies. We analyzed survey data from users of online platforms in the U.S. using a two-level structural equation model (SEM) (N = 1007). In this model, the dependent variable was the usage rate, which was defined as the share of time a person used a particular recommender system (e.g., “People You May Know”) when they use the platform (e.g., Facebook). The individual responses (within-systems level) were clustered in the 26 recommender systems (between-systems level). We hypothesized that three technology-specific factors, adapted from the Diffusion of Innovations (DOI) theory and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), could explain the variations in usage at both levels: perceived performance expectancy (PE), perceived effort expectancy (EE), and perceived hedonic motivation (HM). Our estimated model showed that usage was associated with PE and HM at the within-system level and only with PE at the between-system level. A considerable part of the variation in usage across the 26 systems could be explained by PE only (R2 = 0.30). The most important contribution to practitioners is that this study provides evidence for the idea that there are inherent, measurable differences across recommender technologies that affect their usage rates, and specifically it finds usefulness to be a key factor. This is potentially valuable for app developers and marketeers who look to promote the adoption of novel recommender systems. The main contribution to the literature is that it presents a proof-of-concept of a two-level model for AI adoption, conceptualizing it as an effect of both variations over users and variations over applications. This finding is potentially valuable for policymakers, as better predictive models might enable improved assessments of AI's social implications. In future studies, the two-level approach presented here could be applied to other forms of AI, such as voice assistants, chatbots, or Internet of Things (IoT).
|
|
| 5. |
- Fauville, Geraldine, et al.
(författare)
-
Video-conferencing usage dynamics and nonverbal mechanisms exacerbate Zoom Fatigue, particularly for women
- 2023
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier BV. - 2451-9588. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- The widespread adoption of video-conferencing has not only transformed communication at scale, but also increased feelings of Zoom fatigue among workers around the world. Although Zoom fatigue is well-documented, it is still unclear what aspects of video-conferencing contribute to this sense of exhaustion. This paper leveraged theory on computer-mediated communication (CMC) to investigate the causes of Zoom fatigue in an online convenience sample of 9787 participants. We provide empirical evidence that Zoom fatigue is influenced by the dynamics of individuals' video-conferencing usage and their psychological experience of the meeting. Specifically, our results support Bailenson's theory of nonverbal overload (2021) that video-conferences are exhausting because maintaining the nonverbal communication cues required in video-based calls (e.g., making eye contact with many people at once) can be draining. We found that people who used video-conferencing more frequently, for longer, and with fewer breaks reported more Zoom fatigue. However, people also experienced more Zoom fatigue when they experienced (1) mirror anxiety from seeing their self-image, (2) hyper-gaze from feeling watched by many faces, (3) feeling physically trapped, and challenges in (4) effort in producing nonverbal cues, and (5) effort in monitoring others' nonverbal cues, even when controlling for differences in usage dynamics. Relative to men, women also reported greater Zoom fatigue after video-conferencing because they experienced the above nonverbal mechanisms to a greater extent. This work advances theory on CMC by reflecting on how video-conferencing can recreate and reconfigure nonverbal cues present in face-to-face communication. We discuss practical strategies to combat Zoom fatigue to improve digital well-being.
|
|
| 6. |
- Fauville, Geraldine, et al.
(författare)
-
Zoom Exhaustion & Fatigue Scale
- 2021
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier BV. - 2451-9588. ; 4
-
Tidskriftsartikel (refereegranskat)abstract
- In 2020, video conferencing went from a novelty to a necessity, and usage skyrocketed due to shelter-in-place throughout the world. However, there is a scarcity of academic research on the psychological effects and mechanisms of video conferencing, and scholars need tools to understand this drastically scaled usage. The current paper presents the development and validation of the Zoom Exhaustion & Fatigue Scale (ZEF Scale). In one qualitative study, we developed a set of interview prompts based on previous work on media use. Those interviews resulted in the creation of 49 survey items that spanned several dimensions. We administered those items in a survey of 395 respondents and used factor analyses to reduce the number of items from 49 to 15, revealing five dimensions of fatigue: general, social, emotional, visual, and motivational fatigue. Finally, in a scale validation study based on 2724 respondents, we showed the reliability of the overall scale and the five factors and demonstrated scale validity in two ways. First, frequency, duration, and burstiness of Zoom meetings were associated with a higher level of fatigue. Second, fatigue was associated with negative attitudes towards the Zoom meetings. We discuss future directions for validation and expansion of the scale.
|
|
| 7. |
- Hoppe, J. A., et al.
(författare)
-
When do individuals choose care robots over a human caregiver? : Insights from a laboratory experiment on choices under uncertainty
- 2023
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier B.V.. - 2451-9588. ; 9
-
Tidskriftsartikel (refereegranskat)abstract
- Demographic changes and a predicted shortage of nursing staff are progressively putting pressure on the healthcare system. Care robots may represent one part of a possible solution to this problem as they can assist care work. However, large parts of the population are reportedly skeptical about robotics in care, and field studies are difficult to conduct due to the low prevalence of real robotics in the field. Therefore, we follow an experimental approach pertaining to the question of individual decision-making. In this regard, we analyze the aspects that influence the individual's choice between a care robot and a human caregiver for assistance in their daily life. Our economic experiment is conducted in a virtual laboratory to examine specifically how quality uncertainty of care affects individual's decisions for and against robotic care. In the experiment, 162 participants fully completed the experiment in which they were asked to repeatedly choose between a human caregiver and a care robot. Our results reveal that, overall, the care robot is chosen more often than a human caregiver. At the same time, the quality uncertainty of care linked to a human caregiver barely affected the choice of participants. On the other hand, a participant's health status and their attitude toward direct interactions with care robots did partially affect their choice. Additionally, we explored causes for indecisiveness and its effect on the choice. Here, we found indecisive participants tending to choose a human caregiver more often.
|
|
| 8. |
- Kanté, Mahamadou, et al.
(författare)
-
Use of partial least squares structural equation modelling (PLS-SEM) in privacy and disclosure research on social network sites : A systematic review
- 2023
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier. - 2451-9588. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- Structural equation modelling (SEM) is a statistical technique used in the field of Information Systems amongst others. The technique has been paid attention thanks to its flexibility and predictive power. However, there is a paucity of guidelines in the application of the technique in the field of Behavioural Information Security. Hence, this paper aims to provide a comprehensive guide of using PLS-SEM in disclosure and privacy studies on Social Network Sites (SNSs). Data has been gathered using papers (n=21) published between 2006 and 2022 from scholarly databases such as Google Scholar, Association for Information Systems eLibrary (AISeL), IEEE Xplore and Science Direct. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) was used to analyse and synthesize the status of the field. Our systematic review covers data characteristics, reasons for using PLS-SEM, the evaluation of measurement models, the evaluation of the structural model and reporting best practices. The review proposed guidelines for the use of PLS-SEM in the discipline of Behavioural Information Security with a focus on disclosure and privacy on SNSs studies and other fields as well.
|
|
| 9. |
- Viberg, Olga, 1982-, et al.
(författare)
-
Cultural differences in students' privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United States
- 2024
-
Ingår i: COMPUTERS IN HUMAN BEHAVIOR REPORTS. - : Elsevier BV. - 2451-9588. ; 14
-
Tidskriftsartikel (refereegranskat)abstract
- Applications of learning analytics (LA) can raise concerns from students about their privacy in higher education contexts. Developing effective privacy-enhancing practices requires a systematic understanding of students' privacy concerns and how they vary across national and cultural dimensions. We conducted a survey study with established instruments to measure privacy concerns and cultural values for university students in five countries (Germany, South Korea, Spain, Sweden, and the United States; N = 762). The results show that students generally trusted institutions with their data and disclosed information as they perceived the risks to be manageable even though they felt somewhat limited in their ability to control their privacy. Across the five countries, German and Swedish students stood out as the most trusting and least concerned, especially compared to US students who reported greater perceived risk and less control. Students in South Korea and Spain responded similarly on all five privacy dimensions (perceived privacy risk, perceived privacy control, privacy concerns, trusting beliefs, and non-self-disclosure behavior), despite their significant cultural differences. Culture measured at the individual level affected the antecedents and outcomes of privacy concerns. Perceived privacy risk and privacy control increase with power distance. Trusting beliefs increase with a desire for uncertainty avoidance and lower masculinity. Non-self-disclosure behaviors rise with power distance and masculinity and decrease with more uncertainty avoidance. Thus, cultural values related to trust in institutions, social equality and risk-taking should be considered when developing privacy-enhancing practices and policies in higher education.
|
|
| 10. |
- Weibel, Mette, et al.
(författare)
-
Telepresence robots to reduce school absenteeism among children with cancer, neuromuscular diseases, or anxiety—the expectations of children and teachers : A qualitative study in Denmark
- 2023
-
Ingår i: Computers in Human Behavior Reports. - : Elsevier BV. - 2451-9588. ; 10
-
Tidskriftsartikel (refereegranskat)abstract
- BackgroundThis study explores expectations for telepresence robots as a tool to reduce absence in education as school absence negatively influences children's academic advancement and psychosocial wellbeing.DesignA qualitative semi-structured interview study.Method and populationUsing convenience sampling, we interviewed 11 children aged 8–17 years with cancer (n = 4), neuromuscular diseases (n = 3) or anxiety (n = 4) who had a high level of school absence (more than 15 days’ absence in a school year), and who had recently encountered a telepresence robot; and eight of their teachers. A thematical analysis and a deductive approach based on the theory of Technological frames were used.ResultsThe children's and teachers' expectations of how telepresence robots could support them in reducing their school absence were identified and structured in three categories and five main themes: 1) Nature of technology: a) Learning, b) Sociality, c) Additional supportive resources; 2) Technology strategy: a) Flexible school day; 3) Technology in use: a) New workflows.ConclusionThis study indicates that implementation requires additional resources from teachers. Children with disease-related school absence and their teachers expect telepresence robots to reconnect the children socially, by maintaining or creating new friendships, and academically, by fostering inclusion and reducing absence.
|
|
