Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work
Not on the map. Why?
Abstract (arXiv)
While generative artificial intelligence (GenAI) is finding increased adoption in workplaces, current tools are primarily designed for individual use. Prior work established the potential for these tools to enhance personal creativity and productivity towards shared goals; however, we don't know yet how to best take into account the nuances of group work and team dynamics when deploying GenAI in work settings. In this paper, we investigate the potential of collaborative GenAI agents to augment teamwork in synchronous group settings through an exploratory study that engaged 25 professionals across 6 teams in speculative design workshops and individual follow-up interviews. Our workshops included a mixed reality provotype to simulate embodied collaborative GenAI agents capable of actively participating in group discussions. Our findings suggest that, if designed well, collaborative GenAI agents offer valuable opportunities to enhance team problem-solving by challenging groupthink, bridging communication gaps, and reducing social friction. However, teams' willingness to integrate GenAI agents depended on its perceived fit across a number of individual, team, and organizational factors. We outline the key design tensions around agent representation, social prominence, and engagement and highlight the opportunities spatial and immersive technologies could offer to modulate GenAI influence on team outcomes and strike a balance between augmentation and agency.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 30 of its 137 references that are in the map. First posted on arXiv 21 Apr 2025.
Builds on
30 of 137 references.
References · 30
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
- 2023A Survey on Large Language Model based Autonomous Agentscited by 2,242
- 2021Ethical and social risks of harm from Language Modelscited by 966
- 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 301
- 2021To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-makingcited by 118
- 2024The Ethics of Advanced AI Assistantscited by 107
- 2024Design Principles for Generative AI Applicationscited by 57
- 2023Do LLM Agents Exhibit Social Behavior?cited by 53
- 2020Conceptual Metaphors Impact Perceptions of Human-AI Collaborationcited by 47
- 2025Why human-AI relationships need socioaffective alignmentcited by 47
- 2024AI-Augmented Brainwriting: Investigating the use of LLMs in group ideationcited by 44
- 2024Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Makingcited by 38
18 more
- 2024The Effects of Generative AI on Design Fixation and Divergent Thinkingcited by 37
- 2023How Knowledge Workers Think Generative AI Will (Not) Transform Their Industriescited by 30
- 2023CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysiscited by 25
- 2023Interactive AI Alignment: Specification, Process, and Evaluation Alignmentcited by 22
- 2024Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Designcited by 22
- 2023Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AIcited by 20
- 2024Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacycited by 14
- 2024Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Makingcited by 11
- 2022When happy accidents spark creativity: Bringing collaborative speculation to life with generative AIcited by 9
- 2023The Design Space of Generative Modelscited by 9
- 2023Engaged and Affective Virtual Agents: Their Impact on Social Presence, Trustworthiness, and Decision-Making in the Group Discussioncited by 7
- 2023Enough With "Human-AI Collaboration"cited by 6
- 2024LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-Located Team Collaborationcited by 5
- 2025Toward Metaphor-Fluid Conversation Design for Voice User Interfacescited by 5
- 2024The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settingscited by 4
- 2020Post-human interaction design, yes, but cautiouslycited by 2
- 2024Practice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaborationcited by 1
- 2024Speculating About Multi-user Conversational Interfaces and LLMs: What If Chatting Wasn't So Lonely?cited by 1
Built on by
Citing papers per year: 2025: 1; 2026: 2.
3 papers.
- 2025Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshopcited by 7
- 2026Adaptive Memory and Reflection Multi-Agent System for Medical Question Answeringcited by 0
- 2026Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiencycited by 0
- 2026Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiency9 Oct 2026
- 2026Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering19 Aug 2026
- 2025Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop28 Aug 2025