Demo Data from SIGIR 2026 / reviewers in the wild / expert
Krutika Gohil
dblp:198/0276
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-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-AI interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
trust in AI |
0.6 | 1 | 2022 | Can we trust a chatbot like a physician? A qualitative study on understanding the emergence of trust toward diagnostic chatbots · Int. J. Hum. Comput. Stud. 2022 |
Human-AI interaction › conversational agents
health chatbot |
0.2 | 1 | 2022 | Can we trust a chatbot like a physician? A qualitative study on understanding the emergence of trust toward diagnostic chatbots · Int. J. Hum. Comput. Stud. 2022 |
Methods — techniques the papers use, named apart from their topics
qualitative study · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Can we trust a chatbot like a physician? A qualitative study on understanding the emergence of trust toward diagnostic chatbots
Lennart Seitz, Sigrid Bekmeier-Feuerhahn, Krutika Gohil |
Int. J. Hum. Comput. Stud. | 3 |