How Cultural Norms Influence Persuasive Design: A Study on Chinese Food Journaling Apps

Lu, Xi; Chen, Yunan; Epstein, Daniel A.

doi:10.1145/3461778.3462142

Cited by 7 publications

(2 citation statements)

References 51 publications

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“…In our interviews, participants often mentioned their learning behaviors and the use of various external social platforms during and after food tracking practices when aiming to change their diet behaviors and reach different goals, leading us to focus on this aspect of the interviews. We extend findings from our prior work [55], interviewing 18 participants who are currently or have previously used a food journaling app. All participants lived in China during the time of the study.…”

Section: Participantssupporting

confidence: 55%

A Model of Socially Sustained Self-Tracking for Food and Diet

Chen

Epstein

2021

Proc. ACM Hum.-Comput. Interact.

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Studies of personal informatics systems primarily examine people's use or non-use, but people often leverage other technology towards their long-term behavior change processes such as social platforms. We explore how tracking technologies and social platforms together help people build healthy eating behaviors by interviewing 18 people who use Chinese food journaling apps. We contribute a Model of Socially Sustained Self-Tracking in personal informatics, building on the past model of Personal Informatics and the learning components of Social Cognitive Theory. The model illustrates how people get advice from social platforms on when and how to track, transfer data to and apply knowledge from social platforms, evolve to use social platforms after tracking, and occasionally resume using tracking tools. Observational learning and enactive learning are central to these processes, with social technologies helping people to gain deeper and more reliable domain knowledge. We discuss how lapsing and abandoning of tracking can be viewed as evolving to social platforms, offering recommendations for how technology can better facilitate this evolution.  CCS Concepts: • Human-centered computing → Human-computer interaction (HCI); HCI theory, concepts and models; User Studies; Social media

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Section: Participantssupporting

confidence: 55%

A Model of Socially Sustained Self-Tracking for Food and Diet

Chen

Epstein

2021

Proc. ACM Hum.-Comput. Interact.

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“…HCI research in this field is often oriented toward changed behaviors in the health area, see e.g. [24,36,48,53]. Taype Espinoza & Calani Baranauskas [43] describes how technology can be designed to encourage healthy eating.…”

Section: Persuasive Design and Tracking Of Personal Datamentioning

confidence: 99%

"I feel like I've never really achieved it"

Karlsson

Olsson

Normark

2022

Nordic Human-Computer Interaction Conference

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This paper examines experiences of mindfulness and meditation applications for handling stress and emotional strain. We present a qualitative interview study. The analysis focuses particularly on the role of persuasive functions in the applications, such as notifications, history tracking, maintaining a daily streak, etc. The results suggest that persuasive design patterns can interfere with the original user needs. While providing some advantages for supporting the establishment of a meditation habit, persuasive design patterns also create friction between the application and the users' intentions to reduce stress. We critically examine how persuasive design patterns, intended for increasing performance and personal improvement, may affect the users of meditation apps. Finally, we discuss how persuasive design patterns in the major meditation apps have been instrumental in recontextualizing meditation from a spiritual practice to a productivity practice.

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