Demo Data from SIGIR 2026 / reviewers in the wild / expert
Allison J. Li
dblp:429/1165
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0001-1716-8884ORCID · 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 · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › social robot
robot personality |
1.0 | 1 | 2026 | Customizing Robot Personality: How Personality Control and Form Factor Shape Perceptions of a Robot as a Social Agent · HRI 2026 |
Human-robot interaction › social robot
human-robot rapport |
0.3 | 1 | 2026 | Customizing Robot Personality: How Personality Control and Form Factor Shape Perceptions of a Robot as a Social Agent · HRI 2026 |
Methods — techniques the papers use, named apart from their topics
between-subjects study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Customizing Robot Personality: How Personality Control and Form Factor Shape Perceptions of a Robot as a Social AgentabstractA robot's personality can shape user experience and acceptance in many social robot applications. Allowing users to customize robot personality could help them tailor robot products to their preferences, but it remains unclear whether this customization diminishes perceptions of the robot as a social agent and whether robot form factor influences these effects. We conducted a 2x2 between-subjects study (N = 79) examining robot form factor (humanoid NAO vs. non-humanoid TurtleBot) and personality customizability (customizable vs. non-customizable) during a collaborative event-planning task. Our results reveal that while customization reduced perceived social agency for both robot types, this reduction was particularly evident for humanoid robots. Conversely, personality customization significantly improved human-robot rapport, with this improvement driven primarily by non-humanoid robots. These findings reveal form factor-dependent effects in personality customization, indicating that robot form and customization capabilities yield differential impacts on perceived social agency and human-robot rapport in human-robot interaction design. Alex Wuqi Zhang, Aaron Huang, Allison J. Li, Sarah Sebo |
HRI | 3 |