Application of Emotional Lexicon in Emergency Information Visualization Design
This paper discusses the application of emotion dictionary in the visual design of emergency information, aiming to improve the efficiency and accuracy of emergency response through emotion analysis technology, and provide decision support for emergency management. By using the emotion dictionary to capture and process the audience's emotions, K-means cluster analysis is used to divide the crowd into three categories: positive, negative and calm. Analyze people's visual cognition of information in emergency situations, use visual design of information visualization to present different information contents to audiences with different psychological cognition, relieve people's psychological pressure and anxiety, help people cope with difficulties, make judgments in emergency situations, and improve the efficiency of information processing and display.
Authors
- Ruiyuan Liu (ORCID: https://orcid.org/0000-0002-1678-3500)
- Haibin Xu
Institutions
- Hubei University of Technology (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icid64166.2024.11024782
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00