Demo Data from SIGIR 2026 / reviewers in the wild / expert
Keys K. Rigual
dblp:429/0516
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0005-3806-6827ORCID · reported
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 · 50% Accessibility and assistive technology · 38% Collaborative and social computing · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › social robot
companion robots |
1.0 | 1 | 2026 | Not the Intended User: Queer Perspectives on Identity, Risk, and Trust in Robot Companions · HRI 2026 |
Accessibility and assistive technology
inclusive design |
1.0 | 1 | 2026 | Not the Intended User: Queer Perspectives on Identity, Risk, and Trust in Robot Companions · HRI 2026 |
Collaborative and social computing › vulnerable populations
marginalized communities |
0.3 | 1 | 2026 | Not the Intended User: Queer Perspectives on Identity, Risk, and Trust in Robot Companions · HRI 2026 |
Human-robot interaction
trust in robots |
0.3 | 1 | 2026 | Not the Intended User: Queer Perspectives on Identity, Risk, and Trust in Robot Companions · HRI 2026 |
Methods — techniques the papers use, named apart from their topics
survey · 1.0participatory design · 1.0mixed-methods study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Not the Intended User: Queer Perspectives on Identity, Risk, and Trust in Robot CompanionsabstractRobot companions often default to cisnormative and heteronormative assumptions, undermining trust and inclusion for LGBTQIA+ (queer) communities. Although inclusivity is widely discussed in HRI, empirical, community-led insights into queer needs and risks remain limited. We address this gap through a mixed-methods study of how queer individuals envision affirming and trustworthy robot companions, combining an online survey of community priorities with participatory design workshops exploring lived experiences and design tensions. Although many participants felt they were not the "intended user" of current technologies, they outlined clear priorities for future robot companions, including accurate handling of names and pronouns, robust privacy and data safeguards, clear and bounded utilitarian roles, and user-controlled adaptability, while identifying risks such as misgendering, surveillance, stereotype reinforcement, and unhealthy dependence. We translate these findings into justice-oriented design requirements for robot companions serving queer and other marginalized communities. Kaylee Nam, Jackie Yee, Raitah A. Jinnat, Keys K. Rigual, Alexandria Thylane, Raj Korpan |
HRI | 4 |