🤖 AI Summary
This study addresses the prevailing focus of collaborative AI research on white-collar contexts, which often overlooks the embodied, physically co-located, and highly interdependent nature of blue-collar work. The paper proposes embodiment not merely as an aesthetic choice but as a sociomaterial design strategy, exploring through two speculative scenarios in industrial and maintenance settings how embodied AI agents can enhance shared situational awareness and foster inclusive communication across experiential hierarchies. Integrating insights from embodied artificial intelligence, situated cognition, and human-AI collaboration design, the work outlines an initial framework for AI collaboration tailored to blue-collar environments. It aims to guide future research while foregrounding critical issues such as worker agency, inclusivity, and the long-term evolution of collaborative practices.
📝 Abstract
Blue-collar work is often highly collaborative, embodied, and situated in shared physical environments, yet most research on collaborative AI has focused on white-collar work. This position paper explores how the embodied nature of AI agents can support team collaboration and communication in co-located blue-collar workplaces. From the context of our newly started CAI-BLUE research project, we present two speculative scenarios from industrial and maintenance contexts that illustrate how embodied AI agents can support shared situational awareness and facilitate inclusive communication across experience levels. We outline open questions related to embodied AI agent design around worker inclusion, agency, transformation of blue-collar collaboration practices over time, and forms of acceptable AI embodiments. We argue that embodiment is not just an aesthetic choice but should become a socio-material design strategy of AI systems in blue-collar workplaces.