EDBT 2026 Demo / reviewers in the wild / expert
Emma Jiren Wang
dblp:430/9570
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0003-4413-9944ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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 |
Collaborative and social computing · 77% Human-AI interaction · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › computer-mediated communication
instant messaging |
1.0 | 1 | 2026 | PuppetChat: Fostering Intimate Communication through Bidirectional Actions and Micronarratives · CHI 2026 |
Human-AI interaction
recommender system |
0.3 | 1 | 2026 | PuppetChat: Fostering Intimate Communication through Bidirectional Actions and Micronarratives · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
micronarrative generation · 1.0field study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | PuppetChat: Fostering Intimate Communication through Bidirectional Actions and MicronarrativesabstractAs a primary channel for sustaining modern intimate relationships, instant messaging facilitates frequent connection across distances. However, today's tools often dilute care; they favor single tap reactions and vague emojis that do not support two way action responses, do not preserve the feeling that the exchange keeps going without breaking, and are weakly tied to who we are and what we share. To address this challenge, we present PuppetChat, a dyadic messaging prototype that restores this expressive depth through embodied interaction. PuppetChat uses a reciprocity aware recommender to encourage responsive actions and generates personalized micronarratives from user stories to ground interactions in personal history. Our 10-day field study with 11 dyads of close partners or friends revealed that this approach enhanced social presence, supported more expressive self disclosure, and sustained continuity and shared memories. © 2026 Copyright held by the owner/author(s). Emma Jiren Wang, Siying Hu, Zhicong Lu |
CHI | 1 |