Demo Data from EDBT 2026 / reviewers in the wild / expert
Luning Sun 0001
dblp:284/2269-1
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-2470-4278ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 · 100% |
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
creative collaboration |
1.0 | 1 | 2026 | TRACE: A Corpus of Team Creative Discussions · ACL (1) 2026 |
Collaborative and social computing › social interaction
group dynamics |
1.0 | 1 | 2026 | TRACE: A Corpus of Team Creative Discussions · ACL (1) 2026 |
Methods — techniques the papers use, named apart from their topics
sentence embeddings · 1.0factor analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | TRACE: A Corpus of Team Creative DiscussionsabstractUnderstanding how discussion dynamics shape team creativity has been limited by the difficulty of measuring process at scale.We introduce TRACE, a corpus of 309 group discussions from 103 teams (421 participants) across six creative problem-solving tasks.The dataset follows an input-process-output framework, integrating team composition (demographics, personalities), full discussion transcripts, and creativity outcomes.Using sentence embeddings and factor analysis, we identify four interpretable discussion dimensions:Coherence, Exploration, Convergence, and Participation.Analysis reveals a depth-breadth trade-off: coherent idea development inversely relates to semantic exploration.Larger teams explore more broadly but converge less effectively while team diversity shapes participation patterns more than discussion content.Novelty and usefulness in the creativity outcomes follow distinct pathways: Exploration and Convergence predict novelty, whereas Coherence predicts usefulness.These findings ground our understanding of how teams talk their way to creative solutions and provide guidance for designing multiagent systems. Yixuan Jiang, Tiancheng Hu, José Hernández-Orallo, David Stillwell, Luning Sun 0001 |
ACL (1) | 5 |