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Design Exploration of AI-Assisted Personal Affective Physicalization
IEEE Computer Graphics and Applications
|September 26, 2025
Summary
AI aids in designing tangible personal emotion representations, called personal affective physicalization. This study explores AI-human co-creation, revealing insights into creative processes and future research directions for emotion-driven design.
Area of Science:
- Human-Computer Interaction
- Affective Computing
- Design Research
Background:
- Personal Affective Physicalization involves expressing emotions through tangible forms.
- Designing these physical data representations is challenging due to the abstract nature of emotions.
- Artificial Intelligence (AI) shows potential in emotion detection and design assistance.
Purpose of the Study:
- To explore AI-assisted design opportunities for personal affective physicalization.
- To investigate AI-human co-creation dynamics in emotion representation design.
- To identify challenges and future research agendas in this domain.
Main Methods:
- Employed a Research-through-Design methodology.
- Developed PhEmotion, a tool integrating LLM-extracted emotion values into parametric artifact design.
- Conducted a lab study with 14 participants, comparing AI-supported and unsupported artifact creation.
Main Results:
- Observed variations in participants' creative strategies and meaning-making processes.
- Documented participants' perceptions of AI support during co-creation.
- Identified key tensions in the AI-human co-creation process.
Conclusions:
- AI can assist in designing personal affective physicalizations.
- AI-human co-creation presents nuanced challenges and opportunities.
- Findings inform future research in AI-assisted emotion representation design.
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