EDBT 2026 Demo / reviewers in the wild / expert
Qinyang Wang
dblp:388/3376
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-5902-0928ORCID · 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 |
Accessibility and assistive technology · 44% Human-AI interaction · 44% Learning and educational technologies · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
AI-mediated communication |
1.0 | 1 | 2026 | Bridging Visual Asymmetry: Exploring AI-Mediated Communication Support for Parents with Visual Impairments and Their Sighted Children in Outdoor Informal Learning · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
wizard-of-oz · 1.0interviews · 1.0field study · 1.0design consultation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Bridging Visual Asymmetry: Exploring AI-Mediated Communication Support for Parents with Visual Impairments and Their Sighted Children in Outdoor Informal LearningabstractParents with visual impairments (PVI) encounter unique challenges in engaging their sighted children in outdoor informal learning, yet little is known about how to address these barriers. We first conducted interviews with 11 mixed-ability families to uncover the perceptual, knowledge, and interactional challenges that limit parental participation. Building on these findings, we explored design opportunities across device form factors, interaction mechanisms, and modes of AI mediation through a design consultation, which led to the development of Bond, a distributed Wizard-of-Oz prototype. Bond combines a lightweight child-worn camera with parent-facing prompts to deliver timely, context-aware support for joint attention and conversation. A field study with 14 families demonstrated increased parental responsiveness, deepened parent–child dialogue, and strengthened parents’ confidence, while fostering children’s curiosity and co-exploration. We introduce Symbiotic Learning as a conceptual lens that reframes AI as a relational mediator bridging perceptual asymmetry, offering design considerations for inclusive, co-constructed learning in mixed-ability families. Jiaying Xu, Qingyun Zheng, Qinyang Wang, Qi Wang 0192, Guanhong Liu |
CHI | 6 |