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Analysing user sentiment data for architectural interior spaces
December 12, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Mi Kyoung Kim
arXiv ID
2312.11519
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.NI
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This study aims to develop a data driven system to enhance the analysis and improvement of user experiences in interior spaces, acknowledging the significant impact of design on individuals health, productivity, and quality of life.
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