Context is Key: Mining Social Signals for Automatic Task Detection in Design Thinking Meetings

S. Kohl*, M. Graus, J.G.A.M. Lemmink

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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 languageEnglish
Title of host publicationDESIGN, USER EXPERIENCE, AND USABILITY: UX RESEARCH, DESIGN, AND ASSESSMENT. HCII 2022.
EditorsMarcelo M. Soares, Elizabeth Rosenzweig, Aaron Marcus
PublisherSpringer International Publishing AG
Pages12-27
Number of pages16
ISBN (Print)9783031058967
DOIs
Publication statusPublished - 2022
Event11th 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 20221 Jul 2022
Conference number: 11
https://2022.hci.international/DUXU

Publication series

SeriesLecture Notes in Computer Science
Volume13321
ISSN0302-9743

Conference

Conference11th International Conference on Design, User Experience, and Usability
Abbreviated titleDUXU 2022
Country/TerritoryUnited States
Period26/06/221/07/22
Internet address

Keywords

  • Social signals
  • Context detection
  • Predictive modeling
  • SELECTION

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