Summary of the Workshop on Visual Methods and Analyzing Visual Data in Human Computer Interaction
Visual methods have become increasingly vital in Human Computer Interaction (HCI) research, particularly as we analyze and interpret the complex visual data that emerges from various interaction modalities. However, the methodologies for analyzing this visual data remain underdeveloped compared to textual data analysis. This workshop seeks to unite HCI researchers who work with visual data—such as hand sketches, photographs, physical artifacts, UI screenshots, videos, and information visualizations—to identify, name, and categorize methods for analyzing visual data in HCI.
Authors
- Miriam Sturdee (ORCID: https://orcid.org/0000-0002-8417-191X)
- Sheelagh Carpendale (ORCID: https://orcid.org/0000-0002-5127-9780)
- Samuel Huron (ORCID: https://orcid.org/0000-0002-9319-8559)
- Zezhong Wang (ORCID: https://orcid.org/0000-0002-1061-604X)
Institutions
- Télécom Paris (FR)
- University of St Andrews (GB)
- Simon Fraser University (CA)
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1145/3696762.3698047
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00