Abstract
Despite the importance of team communication for successful collaborative problem solving, automated solutions for teams are notably absent from the literature. One promising avenue of research has been the development and integration of speech-based technology for team meetings. However, these technologies often fall short of meeting the needs of the teams as they do not take meeting context into consideration. In this paper, we demonstrate the efficacy of context detection with data collected during real team meetings. By capturing and analyzing social signals of rotation in team dynamics, we can demonstrate that different stages of collaborative problem solving using the design thinking methodology differ in their dynamics. Using supervised machine learning, we successfully predict design thinking mode with an overall F1 score of 0.68 and a best-performing sub-class model of 0.94. We believe this to be an essential step towards improving speech-based technology that aims to assist teams during meetings. Making these automated systems context-aware will enable them to provide teams with relevant information, such as resources or guidance.
Original language | English |
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Title of host publication | DESIGN, USER EXPERIENCE, AND USABILITY: UX RESEARCH, DESIGN, AND ASSESSMENT. HCII 2022. |
Editors | Marcelo M. Soares, Elizabeth Rosenzweig, Aaron Marcus |
Publisher | Springer International Publishing AG |
Pages | 12-27 |
Number of pages | 16 |
ISBN (Print) | 9783031058967 |
DOIs | |
Publication status | Published - 2022 |
Event | 11th International Conference on Design, User Experience, and Usability: Held as Part of the 24th International Conference on Human-Computer Interaction (HCII) - Online, United States Duration: 26 Jun 2022 → 1 Jul 2022 Conference number: 11 https://2022.hci.international/DUXU |
Publication series
Series | Lecture Notes in Computer Science |
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Volume | 13321 |
ISSN | 0302-9743 |
Conference
Conference | 11th International Conference on Design, User Experience, and Usability |
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Abbreviated title | DUXU 2022 |
Country/Territory | United States |
Period | 26/06/22 → 1/07/22 |
Internet address |
Keywords
- Social signals
- Context detection
- Predictive modeling
- SELECTION