EmoFlow: From Tracking to Sense-Making of Emotions Through Creative Drawing

要旨

While previous research has attempted to link features of individuals' drawings to their emotional states, it often overlooks the deeply personal and context-driven nature of visual expression. To bridge the gap, we conducted a two‑week diary study with 21 participants, who used a custom‑built app to track daily emotions through free drawings, followed by interviews reflecting on their artwork. Among the 252 drawings gathered, we found no strong correlations between reported emotions and measurable drawing behaviors; instead, participants expressed emotions through diverse approaches, from illustrations of emotion sources (e.g., events, objects) and metaphors, to emojis, literal text and spontaneous, random mark-making. Participants developed consistent personal styles and described drawing as an intuitive, playful, and safe outlet, though some faced challenges with the ambiguity of visual expressions and interpreting their creations afterwards. With the lessons learned, we discuss opportunities for designing expression-centered emotion tracking technologies that embrace individuality and creativity.

受賞
Honorable Mention
著者
Shannon Sie. Santosa
City University of Hong Kong, Kowloon Tong, Hong Kong
Qian Wan
City University of Hong Kong, Kowloon, Hong Kong
Junnan Yu
The Hong Kong Polytechnic University, Hong Kong, China
Yuhan Luo
City University of Hong Kong, Hong Kong, China
動画

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Sensemaking

P1 - Room 130
7 件の発表
2026-04-14 20:15:00
2026-04-14 21:45:00