Requirements for AI-based Teammates: A Qualitative Inquiry in the Context of Creative Workshops
Journal
Hawaii International Conference on System Sciences (HICSS)
ISBN
978-0-9981331-5-7
Type
conference paper
Date Issued
2022-01-04
Author(s)
;
Siemon, Dominik
;
de Vreede, Triparna
;
de Vreede, Gert-Jan
;
Oeste-Reiß, Sarah
;
Research Team
IWI6
Abstract
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.
Language
English
Keywords
AI-based teammate
human-AI collaboration
requirements
collaboration
creative workshops
HSG Classification
contribution to scientific community
Pages
10
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Hawaii, USA
Event Date
04-07 Jan 2022
Official URL
Subject(s)
Division(s)
Eprints ID
266223
File(s)![Thumbnail Image]()
Name
JML_871.pdf
Size
321.95 KB
Format
Adobe PDF
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