Demo Data from SIGIR 2026 / reviewers in the wild / expert
Bhismadev Chakrabarti
dblp:05/5429
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-6649-7895ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging 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 |
Human-robot interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
anthropomorphism |
0.1 | 1 | 2009 | How anthropomorphism affects empathy toward robots · HRI 2009 |
Human-robot interaction › affective interaction
empathy toward robots |
0.1 | 1 | 2009 | How anthropomorphism affects empathy toward robots · HRI 2009 |
Methods — techniques the papers use, named apart from their topics
experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Shared mechanisms for controlling egocentric bias during perspective taking and intertemporal choices
Garret O'Connell, Bhismadev Chakrabarti, Chun-Ting Hsu, Anastasia Christakou, Isabel Dziobek |
CogSci | 2 |
| 2009 | How anthropomorphism affects empathy toward robotsabstractA long-standing question within the robotics community is about the degree of human-likeness robots ought to have when interacting with humans. We explore an unexamined aspect of this problem: how people empathize with robots along the anthropomorphic spectrum. We conducted an experiment that measured how people empathized with robots shown to be experiencing mistreatment by humans. Our results indicate that people empathize more strongly with more human-looking robots and less with mechanicallooking robots. Laurel D. Riek, Tal-Chen Rabinowitch, Bhismadev Chakrabarti, Peter Robinson 0001 |
HRI | 3 |