EDBT 2026 Demo / reviewers in the wild / expert
Cory S. Inman
dblp:36/10741
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0003-2928-6252ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 62% Wearable and physiological sensing · 19% Usability and user experience research · 19% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usability and user experience research
cognitive modeling |
0.3 | 1 | 2025 | Detecting Context Shifts in the Human Experience Using Multimodal Foundation Models · SenSys 2025 |
Methods — techniques the papers use, named apart from their topics
multimodal foundation model · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Detecting Context Shifts in the Human Experience Using Multimodal Foundation ModelsabstractDetecting context shifts in human experience is critical for applications in cognitive modeling, human-AI interaction, and adaptive neurotechnology. However, formalizing and identifying these shifts in real-world settings remains challenging due to annotation inconsistencies, data sparsity, and the multimodal nature of human perception. Iris Nguyen, Liying Han, Burke Dambly, Marina Kogan, Cory S. Inman, Mani Srivastava 0001, Luis Garcia 0001 |
SenSys | 6 |