Demo Data from SIGIR 2026 / reviewers in the wild / expert
Toam Bechor
dblp:371/1660
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0002-5513-2708ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Human-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 |
Human-robot interaction · 100% | |
| Artificial intelligence
1 paper |
Autonomous driving · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
automated vehicles |
0.8 | 1 | 2024 | A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers' Sense of Safety and Trust · HRI 2024 |
Human-robot interaction › nonverbal communication
nonverbal robot behavior |
0.8 | 1 | 2024 | A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers' Sense of Safety and Trust · HRI 2024 |
Human-robot interaction
social robot |
0.8 | 1 | 2024 | A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers' Sense of Safety and Trust · HRI 2024 |
Methods — techniques the papers use, named apart from their topics
in-situ experiment · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers' Sense of Safety and TrustabstractOne of the central challenges in designing autonomous vehicles concerns passenger trust and sense of safety. This challenge is related to passengers' well-established past experience with non-autonomous vehicles, which leads to concern about the absence of a driver. We explored whether it is possible to address this challenge by designing an interaction with a simple robotic object positioned on the vehicle's dashboard. The robot greeted the passenger, indicated that the vehicle was attentive to its surroundings, and informed the passenger that the drive was about to begin. We evaluated whether the robot's non-verbal behavior would provide the signals and social experience required to support passengers' trust and sense of safety. In an in-person (in-situ) experiment, participants were asked to enter an autonomous vehicle and decide if they were willing to go for a drive. As they entered the vehicle, the robot performed the designed behaviors. We evaluated the participants' considerations and experience while they made their decision. Our findings indicated that participants' trust ratings and safety-related experience were higher than those of a baseline group who did not interact with the robot. Participants also perceived the robot as providing companionship during a lonely experience. We suggest that robotic objects are a promising technology for enhancing passengers' experience in autonomous vehicles. Srivatsan Chakravarthi Kumaran, Toam Bechor, Hadas Erel |
HRI | 2 |