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

Abstract

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.

Engaging with AI painting: exploring motivations and challenges in laypeople's creative information practices

“…The increasing capacity to manage complex tasks of artificial intelligence (AI) has expanded from industrial production (Asan et al, 2020;Di Vaio et al, 2022;Holstein et al, 2020;Lee et al, 2022) to various creative fields that traditionally require significant time and effort (Saharia et al, 2022;Zhu et al, 2018). This expansion is evident in AI's ability to generate new content in creative and artistic fields, including drawing (Sun et al, 2019), music composition (Choi et al, 2016), fiction writing (Yang et al, 2022), urban planning (Cooney, 2021) and dance (Li et al, 2021). Especially in the domain of painting, AIgenerated artworks, and tools have increasing attention and impact.…”