Demo Data from SIGIR 2026 / reviewers in the wild / expert
Camille Kaufman
dblp:289/3890
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
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% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
trust in robots |
0.5 | 1 | 2021 | Deconstructed Trustee Theory: Disentangling Trust in Body and Identity in Multi-Robot Distributed Systems · HRI 2021 |
Human-robot interaction
multi-robot systems |
0.1 | 1 | 2021 | Deconstructed Trustee Theory: Disentangling Trust in Body and Identity in Multi-Robot Distributed Systems · HRI 2021 |
Methods — techniques the papers use, named apart from their topics
online human-subject study · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Deconstructed Trustee Theory: Disentangling Trust in Body and Identity in Multi-Robot Distributed SystemsabstractThis paper introduces and justifies (through an n=210 online human-subject study) Deconstructed Trustee Theory, a theory of human-robot trust that factors the representation of trustee into robot body and robot identity in order to differentially model perceived trustworthiness of robot body and identity. This theory predicts (a) that different levels of trustworthiness can be attributed to a robot body and a robot identity, (b) that divergence between levels of perceived trustworthiness of body and identity may be effected by communication policies that reveal the potential for phenomena such as re-embodiment, co-embodiment, and agent migration in multi-robot systems, and (c) that perceived trustworthiness of body and identity may further diverge and be refined through moral cognitive processes triggered on observation of blameworthy actions. Tom Williams 0001, Daniel Ayers, Camille Kaufman, Jon Serrano, Sayanti Roy |
HRI | 3 |