Name
Title | ||
|---|---|---|
The WoNoWa Dataset: Investigating the Transactive Memory System in Small Group Interactions |
Abstract | ||
|---|---|---|
We present WoNoWa, a novel multi-modal dataset of small group interactions in collaborative tasks. The dataset is explicitly designed to elicit and to study over time a Transactive Memory System (TMS), a group's emergent state characterizing the group's meta-knowledge about "who knows what". A rich set of automatic features and manual annotations, extracted from the collected audio-visual data, is available on request for research purposes. Features include individual descriptors (e.g., position, Quantity of Motion, speech activity) and group descriptors (e.g., F-formations). Additionally, participants' self-assessments are available. Preliminary results from exploratory analyses show that the WoNoWa design allowed groups to develop a TMS that increased across the tasks. These results encourage the use of the WoNoWa dataset for a better understanding of the relationship between behavioural patterns and TMS, that in turn could help to improve group performance.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3382507.3418843 | ICMI '20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
Virtual Event
Netherlands
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7581-8 | 0 |
PageRank | References | Authors |
0.34 | 14 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beatrice Biancardi | 1 | 0 | 0.34 |
| Lou Maisonnave-Couterou | 2 | 0 | 0.34 |
| Pierrick Renault | 3 | 0 | 0.34 |
| Brian Ravenet | 4 | 50 | 5.84 |
| Maurizio Mancini | 5 | 41 | 5.90 |
| Giovanna Varni | 6 | 170 | 26.42 |