TOWARD HYBRID TEAMS: A PLATFORM to UNDERSTAND HUMAN-COMPUTER COLLABORATION during the DESIGN of COMPLEX ENGINEERED SYSTEMS

B. Song; N. F. Soria Zurita; G. Zhang; G. Stump; C. Balon; S. W. Miller; M. Yukish; J. Cagan; C. McComb

doi:10.1017/dsd.2020.68

TOWARD HYBRID TEAMS: A PLATFORM to UNDERSTAND HUMAN-COMPUTER COLLABORATION during the DESIGN of COMPLEX ENGINEERED SYSTEMS

B. Song
, N. F. Soria Zurita
, G. Zhang
, G. Stump
, C. Balon
, S. W. Miller
, M. Yukish
, J. Cagan
, C. McComb

Ingeniería Mecánica

Pennsylvania State University
Carnegie Mellon University

Research output: Contribution to journal › Conference article › peer-review

45 Scopus citations

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.

Original language	English
Pages (from-to)	1551-1560
Number of pages	10
Journal	Proceedings of the Design Society: DESIGN Conference
Volume	1
DOIs	https://doi.org/10.1017/dsd.2020.68
State	Published - 2020
Event	16th International Design Conference, DESIGN 2020 - Virtual, Online Duration: 26 Oct 2020 → 29 Oct 2020

Keywords

artificial intelligence (AI)
collaborative design
design teams
research methodologies and methods

Access to Document

10.1017/dsd.2020.68

Cite this

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title = "TOWARD HYBRID TEAMS: A PLATFORM to UNDERSTAND HUMAN-COMPUTER COLLABORATION during the DESIGN of COMPLEX ENGINEERED SYSTEMS",

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.",

keywords = "artificial intelligence (AI), collaborative design, design teams, research methodologies and methods",

author = "B. Song and \{Soria Zurita\}, \{N. F.\} and G. Zhang and G. Stump and C. Balon and Miller, \{S. W.\} and M. Yukish and J. Cagan and C. McComb",

note = "Publisher Copyright: {\textcopyright} The Author(s), 2020. Published by Cambridge University Press.; 16th International Design Conference, DESIGN 2020 ; Conference date: 26-10-2020 Through 29-10-2020",

year = "2020",

doi = "10.1017/dsd.2020.68",

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T1 - TOWARD HYBRID TEAMS

T2 - 16th International Design Conference, DESIGN 2020

AU - Song, B.

AU - Soria Zurita, N. F.

AU - Zhang, G.

AU - Stump, G.

AU - Balon, C.

AU - Miller, S. W.

AU - Yukish, M.

AU - Cagan, J.

AU - McComb, C.

N1 - Publisher Copyright: © The Author(s), 2020. Published by Cambridge University Press.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - artificial intelligence (AI)

KW - collaborative design

KW - design teams

KW - research methodologies and methods

UR - https://www.scopus.com/pages/publications/85099623706

U2 - 10.1017/dsd.2020.68

DO - 10.1017/dsd.2020.68

M3 - Artículo de la conferencia

AN - SCOPUS:85099623706

SN - 2633-7762

VL - 1

SP - 1551

EP - 1560

JO - Proceedings of the Design Society: DESIGN Conference

JF - Proceedings of the Design Society: DESIGN Conference

Y2 - 26 October 2020 through 29 October 2020

ER -

TOWARD HYBRID TEAMS: A PLATFORM to UNDERSTAND HUMAN-COMPUTER COLLABORATION during the DESIGN of COMPLEX ENGINEERED SYSTEMS

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Keywords

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