Demo Data from EDBT 2026 / reviewers in the wild / expert
Kartik Mahajan
dblp:254/1507
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 |
Human-robot interaction · 77% Collaborative and social computing · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › social robot
group interaction with robots |
0.4 | 1 | 2020 | Can I Trust You? A User Study of Robot Mediation of a Support Group · ICRA 2020 |
Human-robot interaction › assistive robotics
socially assistive robotics |
0.4 | 1 | 2020 | Can I Trust You? A User Study of Robot Mediation of a Support Group · ICRA 2020 |
Collaborative and social computing › social interaction
group dynamics |
0.1 | 1 | 2020 | Can I Trust You? A User Study of Robot Mediation of a Support Group · ICRA 2020 |
Collaborative and social computing › computer-mediated communication
interpersonal trust |
0.1 | 1 | 2020 | Can I Trust You? A User Study of Robot Mediation of a Support Group · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
user study · 0.4dyadic trust scale · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Can I Trust You? A User Study of Robot Mediation of a Support GroupabstractSocially assistive robots have the potential to improve group dynamics when interacting with groups of people in social settings. This work contributes to the understanding of those dynamics through a user study of trust dynamics in the novel context of a robot mediated support group. For this study, a novel framework for robot mediation of a support group was developed and validated. To evaluate interpersonal trust in the multi-party setting, a dyadic trust scale was implemented and found to be uni-factorial, validating it as an appropriate measure of general trust. The results of this study demonstrate a significant increase in average interpersonal trust after the group interaction session, and qualitative post-session interview data report that participants found the interaction helpful and successfully supported and learned from one other. The results of the study validate that a robot-mediated support group can improve trust among strangers and allow them to share and receive support for their academic stress. Chris Birmingham, Zijian Hu 0001, Kartik Mahajan, Eli Reber, Maja J. Mataric |
ICRA | 3 |