From Emotion to Geometry: The Analysis of Tone in Written Communication as a Computational Design Tool
Abstract
This paper explores the relationship between geometry and emotion through the use of language analysis. We describe a novel computational design approach and the implementation of a software prototype that uses sentiment analysis in written communication to automatically generate parametric variations of a particular design. Our system provides a hybrid-centered approach to design that transforms the qualitative nature of tone and emotion in text into quantitative design parameters that can be manipulated in a 3D modeling software, thus facilitating more creative conversations between the designer and the computer. Our exploration is a first step toward the evolution of de-sign tools into intuitive artificial cognitive systems that can process ideas and semantic constructs and transform them into concrete geometric forms.
Keywords: Emotional Design, Computational Design, Artificial Cognitive System For Geometric Design
DOI: 10.54941/ahfe1001004
Cite this paper
More from this volume
- Modeling of the laminating machine based on ergonomic studies for the manufacture of marzipan handicrafts
- Cognitive Model for Probability Density Distribution Uncertainty Visualization
- Designing and Evaluating of an iPad-based Reading Mode for Enhancing the Efficiency of Non-native Immersive Reading
- Layout Evaluation of Luban Banner Interface Elements Based on Aesthetic Calculation
- Design of Point Pop-ups with Visual Representation based on Weather Map Interface
- Naturality and non-transparency of technology in the age of intelligent voice assistants
- Hybrid Sensory Surfaces: Biological meets Digital
- Design of Smart Household Beauty Apparatus Targeting the Young Consumers
- Smartphone based accurate touch operations on an AR desktop
- The near (bio)future in design
- Translating the creative process of knitwear design: from manual to digital practices in a material-driven approach
- HOYO – Shape Memory Alloys enable a new way to approach the treatment of the Autism Spectrum Disorder


AHFE Open Access