Demo Data from SIGIR 2026 / reviewers in the wild / expert
Daekaun Kang
dblp:374/8497
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-1122-8099ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 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 |
Interaction techniques and input · 44% Games and playful interaction · 44% Wearable and physiological sensing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Games and playful interaction › game playing
competitive gaming |
0.8 | 1 | 2024 | Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload · CHI 2024 |
Interaction techniques and input › input device
mouse input |
0.8 | 1 | 2024 | Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8dual-sensor mouse · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and WorkloadabstractComputer mice are widely used today as the primary input device in competitive video games. If a player exhibits more wrist rotation than other players when moving the mouse laterally, the player is said to have stronger wrist-aiming habits. Despite strong public interest, there has been no affordable technique to quantify the extent of a player’s wrist-aiming habits and no scientific investigation into how the habits affect player performance and workload. We present a reliable and affordable technique to quantify the extent of a player’s wrist-aiming habits using a mouse equipped with two optical sensors (i.e., a dual-sensor mouse). In two user studies, we demonstrate the reliability of the technique and examine the relationship between wrist-aiming habits and player performance or workload. In summary, player expertise and mouse sensitivity significantly impacted wrist-aiming habits; the extent of wrist-aiming showed a positive correlation with upper limb workload. Donghyeon Kang, Namsub Kim, Daekaun Kang, June-Seop Yoon, Sunjun Kim, Byungjoo Lee |
CHI | 3 |