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.

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Published
2024-10-24
DOI
https://doi.org/10.1145/3696762.3698047
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Summary of the Workshop on Visual Methods and Analyzing Visual Data in Human Computer Interaction

Miriam Sturdee, Sheelagh Carpendale, Samuel Huron, Zezhong Wang
Data Visualization and Analytics
article

Summary of the Workshop on Visual Methods and Analyzing Visual Data in Human Computer Interaction

Miriam Sturdee, Sheelagh Carpendale, Samuel Huron, Zezhong Wang
article en

Abstract

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.

Télécom Paris (FR), University of St Andrews (GB), Simon Fraser University (CA)
Openalex Percentile: Top 82%
Data Visualization and Analytics
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Summary of the Workshop on Visual Methods and Analyzing Visual Data in Human Computer Interaction — Miriam Sturdee, Sheelagh Carpendale, et al. · (2024) | TGRS Research Map | TGRS