Hendriks, Patrick ; Sturm, Timo ; Geis, Maximilian ; Grimminger, Till ; Mast, Benedikt (2024)
Exploring Collaboration in Human-Artificial Intelligence Teams: A Design Science Approach to Team-AI Collaboration Systems.
Pacific Asia Conference on Information Systems (PACIS). Ho Chi Minh City, Vietnam (1.-5. July 2024)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Research has long underscored the critical role of effective team collaboration in surpassing the limits of individual members’ capabilities. With organizations now increasingly integrating artificial intelligence (AI) as quasi-team members to enhance learning, problem-solving, and decision-making in teams, there is a pressing need to understand how to foster effective collaboration between teams and AI systems (i.e., team-AI collaboration). By adopting a design science approach and conducting nine semi-structured interviews with knowledge workers, we identify design requirements and principles for effective team-AI collaboration systems from an end-user perspective. We then develop a team-AI collaboration system within Discord (a voice, video, and text chat application) and evaluate its design through five laboratory experiments with human-AI teams. Our results show that introducing configurable roles and personalities for AI team members prompts humans to reconsider their own biases. However, human preconceptions still play a dominant role in shaping team performance.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Hendriks, Patrick ; Sturm, Timo ; Geis, Maximilian ; Grimminger, Till ; Mast, Benedikt |
| Art des Eintrags: | Bibliographie |
| Titel: | Exploring Collaboration in Human-Artificial Intelligence Teams: A Design Science Approach to Team-AI Collaboration Systems |
| Sprache: | Englisch |
| Publikationsjahr: | 2024 |
| Ort: | Atlanta |
| Verlag: | AIS eLibrary |
| Buchtitel: | PACIS 2024 Proceedings |
| Veranstaltungstitel: | Pacific Asia Conference on Information Systems (PACIS) |
| Veranstaltungsort: | Ho Chi Minh City, Vietnam |
| Veranstaltungsdatum: | 1.-5. July 2024 |
| URL / URN: | https://aisel.aisnet.org/pacis2024/track08_digtech_fow/track... |
| Kurzbeschreibung (Abstract): | Research has long underscored the critical role of effective team collaboration in surpassing the limits of individual members’ capabilities. With organizations now increasingly integrating artificial intelligence (AI) as quasi-team members to enhance learning, problem-solving, and decision-making in teams, there is a pressing need to understand how to foster effective collaboration between teams and AI systems (i.e., team-AI collaboration). By adopting a design science approach and conducting nine semi-structured interviews with knowledge workers, we identify design requirements and principles for effective team-AI collaboration systems from an end-user perspective. We then develop a team-AI collaboration system within Discord (a voice, video, and text chat application) and evaluate its design through five laboratory experiments with human-AI teams. Our results show that introducing configurable roles and personalities for AI team members prompts humans to reconsider their own biases. However, human preconceptions still play a dominant role in shaping team performance. |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management |
| Hinterlegungsdatum: | 30 Jul 2024 11:53 |
| Letzte Änderung: | 30 Jul 2024 11:53 |
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