Requirements for AI-based Teammates: A Qualitative Inquiry in the Context of Creative Workshops

Date
2022-01-04
Authors
Elshan, Edona
Siemon, Dominik
De Vreede, Triparna
De Vreede, Gert-Jan
Oeste-Reiß, Sarah
Ebel, Philipp
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Innovation requires organizations to tap into the knowledge and creativity of teams. However, teams are confronted with massive amounts of data and information, necessitating a broad set of knowledge, methodologies, and approaches to solve problems and innovate. Consequently, team composition has become a critical challenge. Recent advances in artificial intelligence (AI) may assist in addressing this challenge. As AI is permeating both business and private sectors, organizational teams may be augmented with AI team members. However, given the nascent nature of this phenomenon, little is known about the specific roles and requirements for such AI teammates. Within an interview study we discover common challenges in teams and identify recurring capability gaps of participants and behaviors that negatively impact the team's collective performance. Based on our findings, we propose requirements for AI-based teammates to address these gaps and support beneficial collaboration between humans and AI in teams.
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AI and Future of Work, artificial intelligence, collaboration, creativity, human-machine interaction, hybrid intelligence
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10 pages
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Proceedings of the 55th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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