Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ziqian Liao
dblp:358/4156
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0003-9985-9172ORCID · 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 2021Applied, interdisciplinary, general and emerging 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 |
Accessibility and assistive technology · 44% Collaborative and social computing · 44% Health and well-being technologies · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › accessible multimedia
video accessibility |
0.9 | 1 | 2025 | CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting · UIST 2025 |
Health and well-being technologies › persuasive technology
interface nudges |
0.3 | 1 | 2025 | CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting · UIST 2025 |
Methods — techniques the papers use, named apart from their topics
design probe · 0.9chrome extension · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive CommentingabstractFigure 1: CoSight, a Chrome extension developed as a design probe to explore how lightweight interface nudges might encourage accessibility contributions from sighted video viewers when watching and commenting.The prototype augments YouTube video pages with features inspired by Fogg's Behavior Model [24], including color labels to highlight accessibility gaps (sparks), hints and references to guide contributions (facilitators), and reminders at key moments (signals). Ruolin Wang, Xingyu Liu 0002, Wayne Zhang 0004, Ziqian Liao, Ziwen Li 0001, Amy Pavel, Xiang 'Anthony' Chen |
UIST | 5 |
| 2021 | Jointly Perceiving Physics and Mind: Motion, force and intention
Siyi Gong, Ziqian Liao, Haokui Xu, Jifan Zhou, Mowei Shen, Tao Gao 0004 |
CogSci | 3 |