Decoding the agility of artificial intelligence-assisted human design teams

Autor: Song, Binyang, Gyory, Joshua T., Zhang, Guanglu, Soria Zurita, Nicolas F., Stump, Gary, Martin, Jay, Miller, Simon, Balon, Corey, Yukish, Michael, McComb, Christopher, Cagan, Jonathan

Publikováno v: In Design Studies March 2022 79

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Are you better off alone? Mitigating the underperformance of engineering teams during conceptual design through adaptive process management.

Autor: Gyory, Joshua T.¹ jgyory@andrew.cmu.edu, Cagan, Jonathan¹ cagan@cmu.edu, Kotovsky, Kenneth² kotovsky@cmu.edu

Publikováno v: Research in Engineering Design. Jan2019, Vol. 30 Issue 1, p85-102. 18p.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Data on the Human Versus artificial intelligence process management experiment.

Autor: Soria Zurita NF; School of Engineering Design, Technology, and Professional Programs, The Pennsylvania State University, University Park, PA, United States.; Colegio de Ciencias e Ingeniería, Universidad San Francisco de Quito, Diego de Roblesy Vía Interoceánica, Quito, Pichincha, Ecuador., Gyory JT; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States., Balon C; Applied Research Laboratory, The Pennsylvania State University, University Park, PA, United States., Martin J; Applied Research Laboratory, The Pennsylvania State University, University Park, PA, United States., Kotovsky K; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, United States., Cagan J; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States., McComb C; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.

Publikováno v: Data in brief [Data Brief] 2022 Feb 08; Vol. 41, pp. 107917. Date of Electronic Publication: 2022 Feb 08 (Print Publication: 2022).