Elissa Thomas
Papers
1
Total Citations
3
H-Index
1
About
Elissa Thomas is a researcher whose work sits at the intersection of human-computer interaction and data-driven analysis, with a particular focus on developing tools that bridge the gap between qualitative observation and quantitative modeling. Her most-cited paper, "A Tool for Integrating Log and Video Data for Exploratory Analysis and Model Generation" (2014), introduces a novel approach to combining system logs with video recordings, enabling researchers to more effectively explore user behavior and generate computational models from rich, multimodal data. This work, which has garnered 3 citations, reflects her commitment to creating practical, user-centered methodologies that empower analysts to uncover patterns that might otherwise remain hidden in disparate data streams. While her citation count is modest, the conceptual contribution of her tool—facilitating the synthesis of log and video data for exploratory analysis—has the potential to influence fields such as usability testing, educational data mining, and behavioral modeling. Thomas’s research exemplifies a thoughtful, interdisciplinary approach to tool-building, offering a foundation for future work that seeks to make complex data more accessible and actionable for both researchers and practitioners.
Research Focus
Key Achievements
Top Papers
- 1