Investigating AI Teammate Communication Strategies and Their Impact in Human-AI Teams for Effective Teamwork

被引:4
|
作者
Zhang R. [1 ]
Duan W. [1 ]
Flathmann C. [1 ]
Mcneese N. [1 ]
Freeman G. [1 ]
Williams A. [1 ]
机构
[1] Clemson University, Clemson, 29634, SC
关键词
communication strategy; human-AI communication; human-AI coordination; human-AI teaming; situation awareness; trust;
D O I
10.1145/3610072
中图分类号
学科分类号
摘要
Recently, AI is integrating into teams to collaborate with humans as a teammate with the goal of achieving unprecedented team outcomes. Much of the coordination between humans and AI teammates relies on human-AI communication, which is challenging due to AI's limitations on natural language communication. Thus, it is essential to identify and develop effective communication strategies for AI teammates in human-AI teams to facilitate the coordination process. Through interviews with 60 participants who collaborated with an AI teammate in a multiplayer online game, in this paper, we explore communication strategies that humans expect AI teammates to apply to support human-AI coordination and collaboration in dyadic teaming environments, and how the AI teammate's communication can impact teaming processes. Our findings highlight four communication strategies AI teammates should apply to support their coordination with humans in dyadic teaming environments. We also find that AI teammates' proactive communication with humans could facilitate the development of human trust and situation awareness, whereas AI lacking such proactive communication is often not perceived as a teammate. Our study extends the current CSCW/HCI research on human-AI communication in teaming environments by shedding light on how communication should be structured in dyadic human-AI teams for effective and smooth collaboration. © 2023 ACM.
引用
收藏
相关论文
共 50 条
  • [41] Drawing a satisfying picture: An exploratory study of human-AI interaction in AI Painting through breakdown-repair communication strategies
    Ma, Xiaoyue
    Huo, Yudi
    INFORMATION PROCESSING & MANAGEMENT, 2024, 61 (04)
  • [42] Conceptual Metaphors Impact Perceptions of Human-AI Collaboration
    Khadpe P.
    Krishna R.
    Fei-Fei L.
    Hancock J.T.
    Bernstein M.S.
    Proceedings of the ACM on Human-Computer Interaction, 2020, 4 (CSCW2)
  • [43] AI in Education, Learner Control, and Human-AI Collaboration
    Brusilovsky, Peter
    INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2024, 34 (01) : 122 - 135
  • [44] Improving Human-AI Collaboration With Descriptions of AI Behavior
    Cabrera Á.A.
    Perer A.
    Hong J.I.
    Proc. ACM Hum. Comput. Interact., 2023, CSCW1
  • [45] Super-Human and Super-AI Cognitive Augmentation of Human and Human-AI Teams Assisted by Brain Computer Interfaces
    Poli, Riccardo
    PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023, 2023, : 3 - 3
  • [46] Understanding the impact and design of AI teammate etiquette
    Flathmann, Christopher
    McNeese, Nathan J.
    Schelble, Beau
    Knijnenburg, Bart
    Freeman, Guo
    HUMAN-COMPUTER INTERACTION, 2024, 39 (5-6): : 444 - 471
  • [47] Specifying AI Objectives as a Human-AI Collaboration Problem
    Dragan, Anca
    AIES '19: PROCEEDINGS OF THE 2019 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, 2019, : 329 - 329
  • [48] AI in Education, Learner Control, and Human-AI Collaboration
    Peter Brusilovsky
    International Journal of Artificial Intelligence in Education, 2024, 34 : 122 - 135
  • [49] Ambiguity can compensate for semantic differences in human-AI communication
    Kocak, Ozgecan
    Park, Sanghyun
    Puranam, Phanish
    COMPUTERS IN HUMAN BEHAVIOR REPORTS, 2022, 6
  • [50] Guidelines for Human-AI Interaction
    Amershi, Saleema
    Weld, Dan
    Vorvoreanu, Mihaela
    Fourney, Adam
    Nushi, Besmira
    Collisson, Penny
    Suh, Jina
    Iqbal, Shamsi
    Bennett, Paul N.
    Inkpen, Kori
    Teevan, Jaime
    Kikin-Gil, Ruth
    Horvitz, Eric
    CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,