Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jérémy Lachance-Tremblay
dblp:387/3058
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-6973-5748ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 |
Ubiquitous computing and smart environments · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › automotive interaction
distracted driving prevention |
0.9 | 1 | 2025 | A gaze-based driver distraction countermeasure: Comparing effects of multimodal alerts on driver's behavior and visual attention · Int. J. Hum. Comput. Stud. 2025 |
Ubiquitous computing and smart environments › automotive computing
driver monitoring |
0.3 | 1 | 2025 | A gaze-based driver distraction countermeasure: Comparing effects of multimodal alerts on driver's behavior and visual attention · Int. J. Hum. Comput. Stud. 2025 |
Methods — techniques the papers use, named apart from their topics
real-time gaze detection · 0.9eye tracking · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A gaze-based driver distraction countermeasure: Comparing effects of multimodal alerts on driver's behavior and visual attentionabstractThis study, introduces and evaluates different countermeasures using real-time eye-tracking data. The countermeasures detect when driver gaze deviates from the road for longer than a predetermined threshold and then redirect the driver's attention back to the road. The countermeasures include bimodal and trimodal alerts using combinations of auditory, tactile, and visual modalities. These countermeasures showcase the utility of adopting eye-tracking technologies in the context of driver monitoring and advanced driver's assistance systems. They enhance safety as a safeguard for the increased use of devices such as in-vehicle infotainment systems. Results show that countermeasures effectively redirect drivers’ attention to the road, with higher on-road gaze time. Additionally, bimodal alerts that include the visual modality are less effective at redirecting participants’ gaze on-road and result in poorer driving performance. Jérémy Lachance-Tremblay, Zoubeir Tkiouat, Pierre-Majorique Léger, Ann Frances Cameron, Ryad Titah, Constantinos K. Coursaris, Sylvain Senecal |
Int. J. Hum. Comput. Stud. | 1 |