Abstract
The brief responses given by listeners in group conversations are known as backchannels rendering the task of backchannel detection an essential facet of group interaction analysis. Most of the current backchannel detection studies explore various audio-visual cues for individuals. However, analysing all group members is of utmost importance for backchannel detection, like any group interaction. This study uses a graph neural network to model group interaction through all members' implicit and explicit behaviours. The proposed method achieves the best and second best performance on agreement estimation and backchannel detection tasks, respectively, of the 2022 MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation challenge.
| Original language | English |
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| Title of host publication | MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 7190-7194 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450392037 |
| DOIs | |
| Publication status | Published - 10 Oct 2022 |
| Externally published | Yes |
| Event | 30th ACM International Conference on Multimedia, MM 2022 - Lisboa, Portugal Duration: 10 Oct 2022 → 14 Oct 2022 Conference number: MM '22 https://dl.acm.org/doi/proceedings/10.1145/3503161 |
Publication series
| Name | Proceedings of the ACM International Conference on Multimedia |
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| Publisher | Association for Computing Machinery |
| Volume | 2022 |
Conference
| Conference | 30th ACM International Conference on Multimedia, MM 2022 |
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| Country/Territory | Portugal |
| City | Lisboa |
| Period | 10/10/22 → 14/10/22 |
| Other | We are delighted to welcome you to Lisbon, Portugal for ACM Multimedia 2022, the 30th ACM International Conference on Multimedia. ACM Multimedia is the premier international conference series in the area of multimedia within the field of computer science. Since 1993, ACM Multimedia has been bringing together worldwide researchers and practitioners from academia and industry to present their innovative research and to discuss recent advancements in multimedia. This year's conference, for the first time since the start of COVID 19 pandemic, will return to the usual format in a time when travel restrictions no longer prevent researchers from attending the conference. We are excited to return to the warm face-to-face gatherings where we will all have the opportunity to meet our colleagues and friends. While priority will be given to physical attendees, remote attendees will also have the opportunity to enjoy live question-answering sessions, and presentations from the authors via pre-recorded videos. Videos of all papers can be accessed online before the start of main conference events, and will be later available through ACM Digital Library. |
| Internet address |
Keywords
- agreement estimation
- backchannel detection
- graph neural networks