Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kevin Huu Vo
dblp:433/1460
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-3784-2510ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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 |
Collaborative and social computing · 56% Human-AI interaction · 28% Design research and methods · 17% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
children's collaboration |
1.0 | 1 | 2026 | Generative AI in Children's Creative Collaboration: Impact, Perception, and Design Guidelines · CHI 2026 |
Collaborative and social computing
creative collaboration |
1.0 | 1 | 2026 | Generative AI in Children's Creative Collaboration: Impact, Perception, and Design Guidelines · CHI 2026 |
Human-AI interaction
generative AI |
1.0 | 1 | 2026 | Generative AI in Children's Creative Collaboration: Impact, Perception, and Design Guidelines · CHI 2026 |
Design research and methods › participatory design
co-design with children |
0.3 | 1 | 2026 | Generative AI in Children's Creative Collaboration: Impact, Perception, and Design Guidelines · CHI 2026 |
Design research and methods
participatory design |
0.3 | 1 | 2026 | Generative AI in Children's Creative Collaboration: Impact, Perception, and Design Guidelines · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
focus group interview · 1.0co-design sessions · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Generative AI in Children's Creative Collaboration: Impact, Perception, and Design GuidelinesabstractThe advent of Generative AI (GenAI) has raised discussions about its effects on individuals. However, little is known about its impact on children’s creative collaboration, despite its importance for social and cognitive development. We examined GenAI’s role in children’s creative collaboration through five co-design sessions with 28 children (ages 5-11) using diverse GenAI tools (text, image, video, voice); 17 parents participated in focus group interviews. Our findings show that GenAI can foster positive social dynamics by enabling “Human vs. AI” teaming and children’s co-creation with shared ownership. However, GenAI disrupted collaborations when roles between children were unclear, AI ignored group dialogue, and AI dominated children’s agency. Children and parents envisioned socially attuned AI that could play an “older sibling” role–scaffolding while allowing playful disagreement–while raising concerns about children’s overreliance on GenAI. This work advances understanding of GenAI in collaboration and proposes design implications for designing AI systems that support child-centered collaboration. Daeun Yoo, Michele Newman, Caroline Pitt, Kevin Huu Vo, Michelle Zhang, Michelle Kim, Katie Davis 0001, Jason C. Yip 0001 |
CHI | 4 |