TOWARD HYBRID TEAMS: A PLATFORM TO UNDERSTAND HUMAN-COMPUTER COLLABORATION DURING THE DESIGN OF COMPLEX ENGINEERED SYSTEMS. (May 2020)

• Record Type: Journal Article
• Authors: Song, B.; Soria Zurita, N. F.; Zhang, G.; Stump, G.; Balon, C.; Miller, S. W.; Yukish, M.; Cagan, J.; McComb, C.
• Is Part Of: Proceedings of the Design Society: DESIGN Conference. Volume 1(2020)
• Page Start: 1551
• Page End: 1560
• Publication Date: 2020-05
• Subjects: collaborative design -- artificial intelligence (AI) -- design teams -- research methodologies and methods; Engineering design -- Congresses; Industrial design -- Congresses; 620.0042
• DOI: 10.1017/dsd.2020.68
• Languages: English
• ISSNs: 2633-7762

Abstract

Abstract: Human-computer hybrid teams can meet challenges in designing complex engineered systems. However, the understanding of interaction in the hybrid teams is lacking. We review the literature and identify four key attributes to construct design research platforms that support multi-phase design, hybrid teams, multiple design scenarios, and data logging. Then, we introduce a platform for unmanned aerial vehicle (UAV) design embodying these attributes. With the platform, experiments can be conducted to study how designers and intelligent computational agents interact, support, and impact each other.