Demo Data from EDBT 2026 / reviewers in the wild / expert
Michiki Hara
dblp:229/1812
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—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 |
Wearable and physiological sensing · 77% Ubiquitous computing and smart environments · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › physiological signal analysis
heart rate variability |
0.4 | 1 | 2019 | Relationship Between LF/HF Value in Heart Rate and Used Mobile Applications · MobiSys 2019 |
Ubiquitous computing and smart environments › mobile computing
mobile app usage |
0.1 | 1 | 2019 | Relationship Between LF/HF Value in Heart Rate and Used Mobile Applications · MobiSys 2019 |
Methods — techniques the papers use, named apart from their topics
call detail record analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Relationship Between LF/HF Value in Heart Rate and Used Mobile ApplicationsabstractWe explore the possibility of detecting person's mood with the usage pattern of mobile applications. Towards this ultimate goal, we first examine the relationship between LF/HF values in heart rate and the CDR (Call Detail Record) logs. Our evaluation result shows that different LF/HF values correspond to different types of mobile applications. Kouki Tazawa, Kana Hamada, Michiki Hara, Makoto Komazawa, Yoshito Tobe |
MobiSys | 3 |