Demo Data from EDBT 2026 / reviewers in the wild / expert
Jingjia Xiao
dblp:386/4069
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0006-5274-3131ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 |
Collaborative and social computing · 77% Human-AI interaction · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
computer-supported cooperative work |
1.0 | 1 | 2026 | Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
qualitative analysis · 1.0interview study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative NewsworkabstractGenerative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than coordinated into collaborative work. Whether GenAI can move from individual use to collaborative work is a critical question for future organizations. Journalism offers a compelling site to examine this shift: individual journalists have already been disrupted by GenAI tools; yet newswork is inherently collaborative relying on shared norms and coordinated workflows. We conducted 27 interviews with newsroom managers, editors and front-line journalists in China. We found that journalists frequently used GenAI to support daily tasks, but value alignment was safeguarded mainly through individual discretion. At the organizational level, GenAI use remained disconnected from team workflows, hindered by structural barriers and cultural reluctance to share practices. These findings underscore the gap between individual and collaborative work, pointing to the need to account for organizational structures, cultural norms, and workflow when coordinating GenAI for collaborative work. Qing Xiao 0002, Jingjia Xiao, Hancheng Cao, Hong Shen 0004 |
CHI | 3 |
| 2024 | Exploring Influencers' and Users' Experiences in Douyin's Virtual Reality Live-StreamingabstractVR live-streaming has become an emerging part on Douyin. This study aims to explore the technical modes, content strategies, user experiences in Douyin‘s VR live-streaming. Through interviews and focus groups, we found that VR technology is recognized by influencers and has become an essential part of their creative practice. For some influencers, VR technology is a key factor in enhancing audience engagement and immersive experiences, although technical literacy barriers may arise when setting up VR scenes. We also provide dimensions for improving and developing user adoption and experience of VR technology in social media environments. Rongyi Chen, Jingjia Xiao, Menghan Yin, Xianzhe Fan, Zihe Ran, Qing Xiao 0002 |
VRST | 2 |