"I spent 14 hours debugging just one assignment": Toward Computer-Mediated Personal Informatics for Computer Science Student Mental Health

要旨

Anxiety and depression rates in Computer Science (CS) students are double those of other undergraduates and 5-10 times higher than the general population. However, factors contributing to the elevated mental health issues in CS students remain unknown. To bridge this gap, we conducted need-finding interviews (N=20), which revealed that the complexity of debugging, along with imposter syndrome, are key contributors to stress and burnout. Participants expressed openness toward and feature preferences in a computer-based Personal Informatics (PI) tool to facilitate self-reflection. In response, we developed EmotionStream, an algorithm-assisted PI tool that provides both contextual and emotional insights based on individual behaviors. We found that participants rated their experience with the tool highly. Post-hoc analysis revealed that emotional states, augmented with contextual cues, show promise of predicting real-time stress. Based on our findings, we provide design implications for future PI tools to support CS student mental well-being.

著者
Aishwarya Chandrasekaran
University of Delaware, Newark, Delaware, United States
London Bielicke
Rhodes College, Memphis, Tennessee, United States
Diya Shah
University of Delaware, Newark, Delaware, United States
Harisha Janakiraman
University of Delaware, Newark, Delaware, United States
Matthew Louis. Mauriello
University of Delaware, Newark, Delaware, United States
DOI

10.1145/3706598.3713269

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713269

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Mental Well-being

Annex Hall F203
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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