Analysing user sentiment data for architectural interior spaces

TL;DR

This paper proposes a data-driven system to analyze user sentiment in interior spaces, aiming to improve design for better health, productivity, and quality of life.

Contribution

It introduces a novel approach for analyzing user sentiment data specifically for architectural interior spaces.

Findings

Enhanced understanding of user sentiment impacts

Potential for improved interior design strategies

Framework for data-driven interior space analysis

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.