Demo Data from SIGIR 2026 / reviewers in the wild / expert
Finn L. Strivens
dblp:248/9842
· 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
Human-computer interaction and ubiquitous computing · 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 |
Collaborative and social computing · 77% Wearable and physiological sensing · 23% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › social interaction › interpersonal coordination
interpersonal synchrony |
0.4 | 1 | 2019 | Blink as you sync: uncovering eye and nod synchrony in conversation using wearable sensing · UbiComp 2019 |
Wearable and physiological sensing › wearable display
smart glasses |
0.1 | 1 | 2019 | Blink as you sync: uncovering eye and nod synchrony in conversation using wearable sensing · UbiComp 2019 |
Methods — techniques the papers use, named apart from their topics
inertial sensing · 0.4electrooculography · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Blink as you sync: uncovering eye and nod synchrony in conversation using wearable sensingabstractWe tend to synchronize our movements to the person we are talking to during face-to-face conversation. Higher interpersonal synchrony is linked to greater empathy and more effortless interactions. This paper presents a first method and a corresponding dataset to explore synchrony in natural conversation by capturing eye and head movement using commodity smart eyewear. We present a 17 hour dataset, using Electrooculography and inertial sensing, of 42 people in conversation (21 dyads: 10 in Japanese, 10 in English, 1 in Chinese). Initial results on 18 dyads show significant interpersonal synchrony of blink and head nod behaviour during conversation (at frequencies of 0.2 to 0.5 Hz). We also find that people are more likely to synchronise blinks at around 1 Hz when conversing back-to-back than when face-to-face. Finn L. Strivens, Benjamin Tag, Kai Kunze, Jamie A. Ward |
UbiComp | 2 |