Verbal vs. Visual: How Humans Perceive and Collaborate with AI Teammates Using Different Communication Modalities in Various Human-AI Team Compositions
As AI becomes more advanced in natural language processing, the research on AI's communication in teaming environments is getting more attention in CSCW/HCI. Even though AI's communication serves as an essential part of facilitating team coordination and shaping team outcomes, the impact of AI's communication modality on human-AI teamwork is still understudied. Using a mixed-design experiment and follow-up group interviews with 100 participants, we investigate the impact of AI's communication modality, one of AI's most essential communication characteristics, on team coordination and team outcomes in two different human-AI team compositions, human-human-AI teams, and human-AI-AI teams. Our findings highlight the trade-offs between AI's verbal communication and visual communication, which inspire two design recommendations on how to apply AI's verbal and visual communication to support human-AI coordination effectively. Our study generates an initial understanding of the role that AI's communication will have in ensuring team effectiveness in human-AI teams in the CSCW/HCI field.
Authors
- Nathan J. McNeese (ORCID: https://orcid.org/0000-0002-9143-2460)
- Guo Freeman (ORCID: https://orcid.org/0000-0001-5107-7794)
- Christopher Flathmann (ORCID: https://orcid.org/0000-0002-5448-2610)
- Wen Duan (ORCID: https://orcid.org/0000-0002-2541-888X)
- Bart P. Knijnenburg (ORCID: https://orcid.org/0000-0003-1341-0669)
- Rui Zhang (ORCID: https://orcid.org/0000-0002-0902-1364)
Institutions
- Clemson University (US)
Publication Details
- Journal
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1145/3686976
- Citations
- 9
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 5.79