Beyond Team Makeup: Diversity in Teams Predicts Valued Outcomes in Computer-Mediated Collaborations
Angela E. B. Stewart, Mary Jean Amon, Nicholas D. Duran, Sidney K. D'Mello
Abstract
In an increasingly globalized and service-oriented economy, people need to engage in computer-mediated collaborative problem solving (CPS) with diverse teams. However, teams routinely fail to live up to expectations, showcasing the need for technologies that help develop effective collaboration skills. We take a step in this direction by investigating how different dimensions of team diversity (demographic, personality, attitudes towards teamwork, prior domain experience) predict objective (e.g. effective solutions) and subjective (e.g. positive perceptions) collaborative outcomes. We collected data from 96 triads who engaged in a 30-minute CPS task via videoconferencing. We found that demographic diversity and differing attitudes towards teamwork predicted impressions of positive engagement, while personality diversity predicted learning outcomes. Importantly, these relationships were maintained after accounting for team makeup. None of the diversity measures predicted task performance. We discuss how our findings can be incorporated into technologies that aim to help diverse teams develop CPS skills.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get f8399700-a40a-495d-907b-ee23bf49deb5Cited by top-tier papers3
- MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video MeetingsXinyue Chen, Shuo Li, Shipeng Liu, Robin R. Fowler et al.CSCW 2023 · 29 citations
- MeetMap: Real-Time Collaborative Dialogue Mapping with LLMs in Online MeetingsXinyue Chen, Nathan Yap, Xinyi Lu, Aylin Gunal et al.CSCW 2025 · 12 citations
- Shaping Collaborations with Algorithms: How Agency and Heterogeneity Criteria Influence Team Formation and OutcomesDiego Gómez-Zará, Victoria A. Kam, Charles Chiang, Jiarui Xia et al.CSCW 2026 · 1 citation
Related papers
- Perspective-Taking in Software Engineering: A Study on its Relationship to Team PerformanceKezia Devathasan, Jayani Samaraweera, Daniela DamianICSE 2026
- Breaking the Familiarity Bias: Employing Virtual Reality Environments to Enhance Team Formation and InclusionMariana Consuelo Fernández Espinosa, Kara Clouse, Dylan Sellars, Danny Tong et al.CHI 2025 · 4 citations
- "An Ideal Human": Expectations of AI Teammates in Human-AI TeamingRui Zhang, Nathan J. McNeese, Guo Freeman, Geoff MusickCSCW 2020 · 222 citations
- Leveling Up Teamwork in Esports: Understanding Team Cognition in a Dynamic Virtual EnvironmentGeoff Musick, Rui Zhang, Nathan J. McNeese, Guo Freeman et al.CSCW 2021 · 43 citations
- Older Adults' Collaborative Learning Dynamics When Exploring Feature-Rich SoftwareAfsane Baghestani, Celine Latulipe, Andrea BuntCSCW 2024 · 7 citations
