Analysing user sentiment data for architectural interior spaces
Human-Computer Interaction
2023-12-20 v1 Networking and Internet Architecture
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.
Cite
@article{arxiv.2312.11519,
title = {Analysing user sentiment data for architectural interior spaces},
author = {Mi Kyoung Kim},
journal= {arXiv preprint arXiv:2312.11519},
year = {2023}
}
Comments
13 pages