• Design Exploration of AI-Assis...

Treffer: Design Exploration of AI-Assisted Personal Affective Physicalization.

Title:
Design Exploration of AI-Assisted Personal Affective Physicalization.
Authors:
Wu R, Li Z, Perin C, Carpendale S, Liu C
Source:
IEEE computer graphics and applications [IEEE Comput Graph Appl] 2026 Jan-Feb; Vol. 46 (1), pp. 26-40.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 9881869 Publication Model: Print Cited Medium: Internet ISSN: 1558-1756 (Electronic) Linking ISSN: 02721716 NLM ISO Abbreviation: IEEE Comput Graph Appl Subsets: MEDLINE
Imprint Name(s):
Original Publication: [Los Alamitos, CA] : IEEE Computer Society : National Computer Graphics Association, [c1981-
MeSH Terms:
Emotions*/physiology , Artificial Intelligence* , Computer Graphics* , Affect*, Humans ; Male ; Female ; Adult ; Young Adult
Entry Date(s):
Date Created: 20250926 Date Completed: 20260126 Latest Revision: 20260128
Update Code:
20260129
DOI:
10.1109/MCG.2025.3614686
PMID:
41004375
Database:
MEDLINE

Weitere Informationen

Personal affective physicalization is the process by which individuals express emotions through tangible forms to record, reflect on, and communicate. Yet such physical data representations can be challenging to design due to the abstract nature of emotions. Given the shown potential of AI in detecting emotion and assisting design, we explore opportunities in AI-assisted design of personal affective physicalization using a research-through-design method. We developed PhEmotion, a tool for embedding LLM-extracted emotion values from human-AI conversations into the parametric design of physical artifacts. A lab study was conducted with 14 participants creating these artifacts based on their personal emotions, with and without AI support. We observed nuances and variations in participants' creative strategies, meaning-making processes, and their perceptions of AI support in this context. We found key tensions in AI-human cocreation that provide a nuanced agenda for future research in AI-assisted personal affective physicalization.