Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yuan Gao 0066
dblp:76/2452-66
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0006-4861-5313ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 · 38% Health and well-being technologies · 38% Accessibility and assistive technology · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
mild cognitive impairment |
0.9 | 1 | 2025 | Using Social Robots to Enhance Cognitive Health in Older Adults with Mild Cognitive Impairment · HRI 2025 |
Human-robot interaction › assistive robotics
socially assistive robotics |
0.9 | 1 | 2025 | Using Social Robots to Enhance Cognitive Health in Older Adults with Mild Cognitive Impairment · HRI 2025 |
Accessibility and assistive technology
older adults |
0.3 | 1 | 2025 | Using Social Robots to Enhance Cognitive Health in Older Adults with Mild Cognitive Impairment · HRI 2025 |
Human-AI interaction › virtual agents
virtual human |
0.3 | 1 | 2025 | Using Social Robots to Enhance Cognitive Health in Older Adults with Mild Cognitive Impairment · HRI 2025 |
Methods — techniques the papers use, named apart from their topics
co-design · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Using Social Robots to Enhance Cognitive Health in Older Adults with Mild Cognitive ImpairmentabstractMild cognitive impairment (MCI) is an early stage of cognitive decline that significantly increases the risk of dementia, making early interventions crucial for maintaining cognitive health in older adults. Our research takes a co-design approach to understand, design, and evaluate how socially assistive robots and a virtual human can promote lifestyle changes for people with MCI (pwMCI), potentially improving their cognitive health. Through an iterative refinement process, we aim to develop adaptable, user-friendly, and sustainable technologies that foster long-term engagement across diverse settings. Ultimately, our goal is to improve cognitive health, quality of life, emotional well-being, and loneliness in pwMCI. Yuan Gao 0066, Ngaire Kerse, Bruce A. MacDonald, Elizabeth Broadbent |
HRI | 1 |