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Know thyself through data: Improving whatsapp interaction awareness with data-driven visualizations
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DOI：10.1016/j.chb.2025.108867.png)
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Abstract
En 中文
• Moving beyond screen time metrics: we advanced the analysis of digital behavior by quantifying socially relevant aspects of texting habits, such as messaging balance and response speed using donated WhatsApp data. • Comparisons of objective and subjective assessments: self-reports were reasonably aligned in some aspects of messaging behavior, such as peak activity times, while discrepancies emerged in others, such as message distribution across chats. • Impact of personalized visualizations: exploring feedback on own messaging behavior helped participants to adjust aspects of their self-reports, especially for areas that were not already highly accurate or inaccurate, such as messaging balance and response speed. • Impact on participant mood: addressing potential concerns of rumination, personalized insights did not negatively affect the mood of participants. • Implications: data-driven visualizations have the potential to increase self-perception of social behaviors, helping individuals to recognize and correct misperceptions.
Keywords:
Data donation
Personal informatics
WhatsApp data
Texting behavior
Self-reports
Social interactions
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