Well-being and Data Tracking

会議の名前
CHI 2025
Exploring Modular Prompt Design for Emotion and Mental Health Recognition
要旨

Recent advances in large language models (LLM) offered human-like capabilities for comprehending emotion and mental states. Prior studies explored diverse prompt engineering techniques for improving classification performance, but there is a lack of analysis of prompt design space and the impact of each component. To bridge this gap, we conduct a qualitative thematic analysis of existing prompts for emotion and mental health classification tasks to define the key components for prompt design space. We then evaluate the impact of major prompt components, such as persona and task instruction, on classification performance by using four LLM models and five datasets. Modular prompt design offers new insights into examining performance variability as well as promoting transparency and reproducibility in LLM-based tasks within health and well-being intervention systems.

著者
Minseo Kim
Hankuk University of Foreign Studies, Seoul, Korea, Republic of
Taemin Kim
Hansung University, Seoul, Korea, Republic of
Thu Hoang Anh. Vo
Korea Advanced Institute of Science & Technology, Daejeon, Korea, Republic of
Yugyeong Jung
KAIST, Daejeon, Korea, Republic of
Uichin Lee
KAIST, Daejeon, Korea, Republic of
DOI

10.1145/3706598.3713888

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713888

動画
``You Go Through So Many Emotions Scrolling Through Instagram'': How Teens Use Instagram To Regulate Their Emotions
要旨

Prior work has documented various ways that teens use social media to regulate their emotions. However, little is known about what these processes look like on a moment-by-moment basis. We conducted a diary study to investigate how teens (N=57, Mage = 16.3 years) used Instagram to regulate their emotions. We identified three kinds of emotionally-salient drivers that brought teens to Instagram and two types of behaviors that impacted their emotional experiences on the platform. Teens described going to Instagram to escape, to engage, and to manage the demands of the platform. Once on Instagram, their primary behaviors consisted of mindless diversions and deliberate acts. Although teens reported many positive emotional responses, the variety, unpredictability, and habitual nature of their experiences revealed Instagram to be an unreliable tool for emotion regulation (ER). We present a model of teens’ ER processes on Instagram and offer design considerations for supporting adolescent emotion regulation.

著者
Katie Davis
University of Washington, Seattle, Washington, United States
Rotem Landesman
University of Washington, Seattle, Washington, United States
Jina Yoon
University of Washington, Seattle, Washington, United States
JaeWon Kim
University of Washington, Seattle, Washington, United States
Daniela E. Munoz Lopez
University of Washington, Seattle, Washington, United States
Lucia Magis-Weinberg
University of Washington, SEATTLE, Washington, United States
Alexis Hiniker
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3713844

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713844

動画
Foody Talk: Exploring Opportunities for Conversational Food Journaling
要旨

Digital food journaling can help support reflection and improvement of wellbeing relating to eating habits. However, it is often viewed as burdensome, and abandoned before gaining benefits. Advances in conversational user interfaces (CUIs) have the potential to support people journaling in a natural and interactive manner, but we lack understanding of how people would ideally prefer to use CUIs when journaling. We conducted 33 co-design sessions with 18 participants to ideate CUI interactions supportive of their health goals and in everyday situations. Our findings reveal that participants expect CUIs to be adaptive by learning goals and personal references, and support depth in detail and goal alignment while respecting situational constraints and intent. While participants expressed concern around navigating long-term data solely through conversations, they envisioned that CUIs could provide empathetic, non-judgmental feedback. We discuss opportunities for CUIs to support empathetic food journaling and accountability while following guardrails for delegated tasks.

著者
Lucas M.. Silva
University of Iowa, Iowa City, Iowa, United States
Xi Lu
University at Buffalo,SUNY, Buffalo, New York, United States
Emily Liang
University of California Irvine, Irvine, California, United States
Daniel A.. Epstein
University of California, Irvine, Irvine, California, United States
DOI

10.1145/3706598.3713875

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713875

動画
"Did you sleep well?": A Multimodal Sleep Diary for Sustained Self-Reporting by Children
要旨

Sleep diaries are essential self-reporting tools for understanding children's sleep patterns, but maintaining sustained engagement and high-quality self-reporting remains challenging. While voice input has been explored in child-computer interaction research as a method to improve engagement, limited evidence exists regarding its effectiveness in supporting sustained self-reporting over time. To address this gap, we conducted a five-day field study with 20 children aged seven to twelve, using a multimodal sleep diary that integrated both voice and text input modalities. Our findings reveal that voice input significantly supports younger children in maintaining engagement over five days, though their response quality remains lower than that of older children. Two distinct response quality patterns over time also emphasize the importance of accounting for individual differences in task performance. Furthermore, input modality preferences varied by age: older children consistently favored text input, while younger children generally preferred voice input over time. These results highlight the potential of incorporating voice input into text-based sleep diaries to better accommodate the diverse needs of children, enhancing both sustained engagement and response quality. Future studies with longer observation periods are needed to validate and extend these findings.

著者
Shanshan Chen
Eindhoven University of Technology, Eindhoven, Netherlands
Jun Hu
Eindhoven University of Technology, Eindhoven, Netherlands
Hannah Christina. van Iterson
Eindhoven University of Technology, Eindhoven, Netherlands
Ning Fang
Eindhoven University of Technology, Eindhoven, Netherlands
Panos Markopoulos
Eindhoven University of Technology, Eindhoven, Netherlands
DOI

10.1145/3706598.3713425

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713425

動画
Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch
要旨

𝜇EMAs allow participants to answer a short survey quickly with a tap on a smartwatch screen or a brief speech input. The short interaction time and low cognitive burden enable researchers to collect self-reports at high frequency (once every 5-15 minutes) while maintaining participant engagement. Systems with single input modality, however, may carry different contextual biases that could affect compliance. We combined two input modalities to create a multimodal-𝜇EMA system, allowing participants to choose between speech or touch input to self-report. To investigate system usability, we conducted a 7-day field study where we asked 20 participants to label their posture and/or physical activity once every five minutes throughout their waking day. Despite the intense prompting interval, participants responded to 72.4% of the prompts. We found participants gravitated towards different modalities based on personal preferences and contextual states, highlighting the need to consider these factors when designing context-aware multimodal 𝜇EMA systems.

著者
Ha Le
Northeastern University, Boston, Massachusetts, United States
Veronika Potter
Northeastern University, Boston, Massachusetts, United States
Rithika Lakshminarayanan
Northeastern University, Boston, Massachusetts, United States
Varun Mishra
Northeastern University, Boston, Massachusetts, United States
Stephen Intille
Northeastern University, Boston, Massachusetts, United States
DOI

10.1145/3706598.3714086

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714086

動画