Demo Data from SIGIR 2026 / reviewers in the wild / expert
Taeyeun Yang
dblp:188/9422
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 · 39% Ubiquitous computing and smart environments · 30% Wearable and physiological sensing · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments
context-aware computing |
0.2 | 1 | 2016 | Emotion Analysis from Context Understanding: Poster Abstract · SenSys 2016 |
Human-AI interaction › affective computing
emotion analysis |
0.2 | 1 | 2016 | Emotion Analysis from Context Understanding: Poster Abstract · SenSys 2016 |
Wearable and physiological sensing
emotion recognition |
0.2 | 1 | 2016 | Emotion Analysis from Context Understanding: Poster Abstract · SenSys 2016 |
Methods — techniques the papers use, named apart from their topics
scenario-based approach · 0.2context information fusion · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Emotion Analysis from Context Understanding: Poster AbstractabstractIn this poster, we propose an emotion analysis method using context information gathered from sensor data. We observe that there are certain situations in which a specific emotion is strongly felt, i.e. dominant. We develop a "scenario-based" approach that focuses on creating such situations with dominant emotion, using a set of context information from sensor data. These "scenarios" undergo validation process through a preliminary survey. Finally, an application prototype detects these scenarios to return the analyzed emotion to the user. Sangwon Choi, Heesik Jeon, Taeyeun Yang, Junehwa Song |
SenSys | 3 |