Demo Data from SIGIR 2026 / reviewers in the wild / expert
Khulood Alkhudaidi
dblp:322/7218
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-3142-4880ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 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 |
Accessibility and assistive technology · 70% User interface design and tools · 30% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
deaf and hard of hearing |
0.9 | 1 | 2025 | Perceptions and Preferences: Deaf ASL-Signing Users' Insights on Video Elements, Styles and Layouts · CHI 2025 |
Accessibility and assistive technology › accessible multimedia
video accessibility |
0.9 | 1 | 2025 | Perceptions and Preferences: Deaf ASL-Signing Users' Insights on Video Elements, Styles and Layouts · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Perceptions and Preferences: Deaf ASL-Signing Users' Insights on Video Elements, Styles and Layouts
Khulood Alkhudaidi, Tish Burke, Rachel Boll, Shruti Mahajan, Erin Treacy Solovey, Jeanne Reis |
CHI | 1 |
| 2023 | User Perceptions and Preferences for Online Surveys in American Sign Language: An Exploratory StudyabstractIn order to gather data from the signing deaf community, efforts have been made to create online surveys in American Sign Language (ASL), despite a lack of user studies and UX/UI design guidelines informing the development of online survey tools featuring ASL. In this paper, we present SL-Surveys, an ASL-centric survey tool prototype showcasing a set of potential designs for multiple-choice, scalar, and multi-select questions. SL-Surveys was developed in an iterative process expressly for an exploratory think-aloud study investigating user experiences and perceptions of the designs. This preliminary study was conducted with seven deaf ASL-signing participants using a computer. The new design process, prototypes, user study and results make important strides towards a future where designs are not constrained by existing standards and practices based on written languages. Rachel Boll, Shruti Mahajan, Tish Burke, Khulood Alkhudaidi, Brittany Henriques, Isabelle Cordova, Zoey Walker, Erin Treacy Solovey, Jeanne Reis |
ASSETS | 4 |