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    The Impact of a Reward-and-Progression Loop on Engagement with a Mobile Breathing Training: Preliminary Findings from a 15-day Field Study
    (ACM, 2026-04-13)
    Lola Jo Ackermann
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    Sarah Wehrli
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    Helen Galliker
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    Engagement with digital health interventions (DHIs) often declines over time, with many users discontinuing use after initial adoption. Gamification has been proposed to address this challenge, yet evidence on its effectiveness remains mixed. This exploratory study examines whether a reward-and-progression loop (RPL), linking performance to daily-constrained collectible coins and unlockable visual features, is associated with differences in engagement in a mobile biofeedback breathing training (MBBT). Twenty participants were randomly assigned to a control or an RPL condition and used the application over 15 days. Engagement was operationalized using two metrics: the number of active days and median session duration per user. Participants in the RPL condition showed more active days than those in the control condition (median = 7 vs. 2). Session duration was comparable across conditions, though more variable in the RPL condition. These preliminary findings suggest that RPLs may support more frequent engagement in DHIs and warrant further investigation.
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    Scopus© Citations 5
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    Navigating beyond places: The significance of navigation tools in everyday media use
    (2025-08-01)
    Lohmeier, Christine
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    Schulze, Lisa
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    This study examines navigation tools as key mediators of spatial perception, mobility, and digital infrastructures, contributing to scholarship on mediatization, geomedia, and surveillance studies. Navigation apps like Google Maps do not merely facilitate wayfinding; they actively shape spatial experiences, decision-making, and social interactions. Using a mixed-methods approach, we combined real-time activity tracking via the “MapRecorder” tool with qualitative interviews to analyze how users engage with Google Maps. Our findings reveal that navigation tools function as interfaces of spatial production, social connection, and data extraction, embedding themselves in everyday media repertoires. We identify four key usage patterns—search, place, directions, and map view manipulation—demonstrating that navigation is increasingly entangled with broader digital habits. In addition, the data suggested a paradoxical relationship between user convenience and concerns over dataveillance, contributing to debates on privacy resignation and the platformization of spatial control. By foregrounding these tensions, our study extends discussions on the deep mediatization of space, the role of geomedia in shaping mobility, and the sociotechnical power of digital navigation infrastructures.
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    Traffic jam by GPS: A systematic analysis of the negative social externalities of large-scale navigation technologies
    (Public Library of Science, 2024-08-06) ; ;
    Yasemin Gunal
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    Xiangjie Kong
    The increased usage of navigation technologies has caused conflicts in local traffic management, resulting in congested residential areas among other challenges for residents. This paper uses content analysis to investigate such negative social externalities within local communities and neighbourhoods. Through a corpus of 90 news articles about traffic incidents caused by navigation technologies, we identified negative traffic and safety-related externalities, including congestion, damage, pollution, and accidents. We also report on countermeasures by local communities and governments, including street closures, speed limit reduction, and turn bans. Based on our results, we discuss the implications for designing mobile navigation technologies that reduce negative social externalities.
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    Scopus© Citations 5
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    Dark Patterns: manipulative Designstrategien in digitalen Gesundheitsanwendungen
    (2024-02-08)
    Mildner, Thomas
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    ; ;
    Malaka, Rainer
    Among other things, digital health applications offer users support in better understanding their physical and mental health through digital data, thereby promoting positive health behavior. In addition to state-approved digital health applications (DiGA) and digital care applications (DiPA), there is a wide array of other commercial health applications available to users. Particularly in non-approved applications, developers often deploy manipulative design strategies (dark patterns), intentionally or unintentionally, to deceive users into making specific decisions. This article provides an overview of current and widespread dark patterns and assesses the risks posed by them in digital health applications. In the future, “light” should be shed on dark patterns by creating more transparency for users, providing regulators with a more accurate understanding of dark patterns, and paying more attention to the implementation of guidelines. Thus, users may gain autonomy using healthcare applications and their data can be better protected.
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    Scopus© Citations 2
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    Impact of Social Reference Cues on Misinformation Sharing on Social Media: Series of Experimental Studies
    (2023-08-24)
    Jones, Christopher
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    Diethei, Daniel
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    Shrestha, Rehana
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    Jahnel, Tina
    Background: Health-related misinformation on social media is a key challenge to effective and timely public health responses. Existing mitigation measures include flagging misinformation or providing links to correct information, but they have not yet targeted social processes. Current approaches focus on increasing scrutiny, providing corrections to misinformation (debunking), or alerting users prospectively about future misinformation (prebunking and inoculation). Here, we provide a test of a complementary strategy that focuses on the social processes inherent in social media use, in particular, social reinforcement, social identity, and injunctive norms. Objective: This study aimed to examine whether providing balanced social reference cues (ie, cues that provide information on users sharing and, more importantly, not sharing specific content) in addition to flagging COVID-19-related misinformation leads to reductions in sharing behavior and improvement in overall sharing quality. Methods: A total of 3 field experiments were conducted on Twitter's native social media feed (via a newly developed browser extension). Participants' feed was augmented to include misleading and control information, resulting in 4 groups: no-information control, Twitter's own misinformation warning (misinformation flag), social cue only, and combined misinformation flag and social cue. We tracked the content shared or liked by participants. Participants were provided with social information by referencing either their personal network on Twitter or all Twitter users. Results: A total of 1424 Twitter users participated in 3 studies (n=824, n=322, and n=278). Across all 3 studies, we found that social cues that reference users' personal network combined with a misinformation flag reduced the sharing of misleading but not control information and improved overall sharing quality. We show that this improvement could be driven by a change in injunctive social norms (study 2) but not social identity (study 3). Conclusions: Social reference cues combined with misinformation flags can significantly and meaningfully reduce the amount of COVID-19-related misinformation shared and improve overall sharing quality. They are a feasible and scalable way to effectively curb the sharing of COVID-19-related misinformation on social media.
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    Scopus© Citations 15
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    A chronology of SIGCHI conferences: 1983 to 2022
    (ACM, 2022-11-01)
    Kumar, Near
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    Adams, Julie A.
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    Buxton, Bill
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    Candy, Linda
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    Cesar, Pablo
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    Scopus© Citations 5
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    Triggermuscle: Exploring Weight Perception for Virtual Reality Through Adaptive Trigger Resistance in a Haptic VR Controller
    (frontiers, 2022-01-14)
    Stellmacher, Carolin
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    Bonfert, Michael
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    Kruijf, Ernst
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    It is challenging to provide users with a haptic weight sensation of virtual objects in VR since current consumer VR controllers and software-based approaches such as pseudo- haptics cannot render appropriate haptic stimuli. To overcome these limitations, we developed a haptic VR controller named Triggermuscle that adjusts its trigger resistance according to the weight of a virtual object. Therefore, users need to adapt their index finger force to grab objects of different virtual weights. Dynamic and continuous adjustment is enabled by a spring mechanism inside the casing of an HTC Vive controller. In two user studies, we explored the effect on weight perception and found large differences between participants for sensing change in trigger resistance and thus for discriminating virtual weights. The variations were easily distinguished and associated with weight by some participants while others did not notice them at all. We discuss possible limitations, confounding factors, how to overcome them in future research and the pros and cons of this novel technology.
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    Scopus© Citations 20