Demo Data from SIGIR 2026 / reviewers in the wild / expert
Valentina Hong
dblp:397/9321
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0001-9040-058XORCID · 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 |
Human-AI interaction · 77% Accessibility and assistive technology · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › assistive technology
employment technologies |
0.3 | 1 | 2026 | Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
semi-structured interviews · 1.0focus groups · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with DisabilitiesabstractAI hiring interviews, asynchronous video recording platforms that use AI to assess candidate suitability, are increasingly used by employers to streamline hiring processes. These platforms often promise to standardize assessments and mitigate subjective biases in hiring decisions. Yet, little is known about how these technologies are perceived and experienced by people with disabilities, a group historically underrepresented in the workforce and particularly vulnerable to injustices perpetuated by technology. To address this gap, we conducted focus groups and semi-structured interviews with 19 people with disabilities. We found that people with disabilities perceive and experience discrimination by AI hiring interviews that: 1) center normative characteristics, 2) exacerbate information asymmetries, 3) undermine autonomy, and 4) intrude on privacy. We use the analytical frame of surveillance to interrogate the role of AI in reconfiguring social relations between job seekers and employers. We discuss implications of our work for design and policy. Vaishnav Kameswaran, Valentina Hong, Jazmin Clark, Hal Daumé III, Katie Shilton |
CHI | 2 |