IntroBot: Exploring the Use of Chatbot-assisted Familiarization in Online Collaborative Groups
Open accessAbstract
Many people gather online and form teams with strangers to collaborate on tasks. However, while intrateam trust and cohesion are critical for team performance, such characteristics take time to establish and are harder to build up through computer-mediated communication. Building on prior research that has shown that enhancing familiarity between members can help, we hypothesized that the use of a chatbot to support the familiarization of ad hoc teammates can help their collaboration. As such, we designed IntroBot, a chatbot that builds on an online discussion facilitator framework and leverages the social media data of users to assist their familiarization process. Through a between-subjects study (N=60), we found that participants who used IntroBot reported higher levels of trust, cohesion, and interaction quality, as well as generated more ideas in a collaborative brainstorming task. We discuss insights gained from our study, and present opportunities for the future of chatbot-assisted collaboration.
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Prior CHI studies have investigated potential scenarios of interacting with multi-party based chatbots as well as diverse roles of chatbots and their positive impact on familiarization among teammates, generating more ideas and diverse views, and nudging silent people to speak up.
“prior CHI studies [43, 50, 77, 79, 93] have investigated potential scenarios of interacting with multi-party based chatbots [77] as well as diverse roles of chatbots and their positive impact on familiarization among teammates [79], generating more ideas and diverse views [43, 50, 79], and nudging silent people to speak up [43].”
From The Promise and Peril of ChatGPT in Higher Education: Opportunities, Challenges, and Design Implications (2024) · cites this paper as [79]
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Jin, T., Zhao, W., & Zhang, W. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798764
TeamWise: Exploring Virtually Embodied AI Facilitation for Video-Based Team Onboarding
Obilisetty, V. A. R., Elleby, M., Tang, A., & Wang, A. Y. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798791
Yuan, K., Lyu, H., Zhang, R., Murugu, H., & Ma, X. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790272
Xu, H., Kharrufa, A., Solaiman, E., & Vlachokyriakos, V. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791087
Zhang, T., Poh, E., Hou, Y., Lee, Y., Zhang, R., Li, J., & Tang, A. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3813010 · Cited by 1 · see citing works
Group Conversational Agents: A Review of Designs that Support and Shape Group Interaction
Yeo, S., Zhang, T., Bateman, S., Hsieh, G., Kim, Y., Perrault, S. T., Li, J., & Tang, A. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812934
Self-citationNot Too Early, Not All at Once: Design Tensions in AI-Mediated Self-Disclosure in Online Dating
Tsai, P.-H., Zhang, T., Poh, E., Tang, A., & Chang, Y.-J. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812961
Liang, H., Liu, Y., Yang, J., Wang, X., Wong, F. Y. M., Zhao, K., & Fan, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2706908
- Authors
- Shin, D., Kim, S., Shang, R., Lee, J., & Hsieh, G.
- Affiliations
- Human Centered Design and Engineering, University of Washington, United States
- Seoul National University (KR)
- University of Washington (US)
- Venue
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2023-04-19
- Pages
- 1-13
- OpenAlex
- W4366548718
- Cited by
- 37
- References
- 76
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 7 · 2023: 1
- FWCI
- 18.51
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- chatbots, online collaboration, ad hoc teams, trust, team cohesion, computer-mediated communication, discussion facilitation, social media data, brainstorming, interaction quality
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