Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sankalp Sethi
dblp:402/9940
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-8708-0876ORCID · reported
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 |
Design research and methods · 77% Human-AI interaction · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods › user-centered design
persona development |
1.0 | 1 | 2026 | Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
scoping review · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 ArticlesabstractAs generative AI (GenAI) is increasingly applied in persona development to represent real users, understanding the implications and limitations of this technology is essential for establishing robust practices. This scoping review analyzes how 81 articles (2022-2025) use GenAI techniques for the creation, evaluation, and application of personas. The articles exhibited good level of reproducibility, with 61% of articles sharing resources (personas, code, or datasets). Furthermore, conversational persona interfaces are increasingly provided alongside traditional profiles. However, nearly half (45%) of the articles lack evaluation, and the majority (86%) use only GPT models. In some articles, GenAI use creates a risk of circularity, in which the same GenAI model both generates and evaluates outputs. Our findings also suggest that GenAI seems to reduce the role of human developers in the persona-creation process. To mitigate the associated risks, we propose actionable guidelines for the responsible integration of GenAI into persona development. Danial Amin 0001, Joni Salminen, Farhan Ahmed, Sonja M. H. Tervola, Sankalp Sethi, Jim Jansen |
CHI | 5 |