Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the Literature

37 Pages Posted: 17 Jan 2024

See all articles by Yuqing Ren

Yuqing Ren

Carlson School of Management

Jeffrey Clement

Carlson School of Management; Augsburg University

Date Written: January 3, 2024

Abstract

Recent developments in large language models open doors for AI and robots to augment knowledge workers and teams in a variety of domains, such as customer service, data science, legal work, and software development. In this essay, we review 317 articles from multiple disciplines and summarize the insights in a theoretical framework linking key robot attributes to human perceptions and behaviors. The robot attributes include embodiment, nonverbal and verbal communication, perceived gender and race, emotions, perceived personality, and competence. The outcomes include human perceptions, acceptance, engagement, compliance, trust, and willingness to help. We identify four differences between one human and one robot settings and team settings and use them as the springboard to generalize insights from the literature review to the design and impact of a robot in assisting humans in knowledge work teams. We report two high-level observations around the interplay among robot attributes and context dependent designs and discuss their implications.

Keywords: HRI, human-robot interaction, artificial intelligence, robot design, team effectiveness

JEL Classification: M15, O32

Suggested Citation

Ren, Yuqing and Clement, Jeffrey, Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the Literature (January 3, 2024). Available at SSRN: https://ssrn.com/abstract=4683118 or http://dx.doi.org/10.2139/ssrn.4683118

Yuqing Ren

Carlson School of Management ( email )

420 Delaware St. SE
Minneapolis, MN 55455
United States
612-625-5242 (Phone)

HOME PAGE: http://www.csom.umn.edu/Page2075.aspx?type=staff&eid=38674251

Jeffrey Clement (Contact Author)

Carlson School of Management ( email )

19th Avenue South
Minneapolis, MN 55455
United States

Augsburg University ( email )

2211 Riverside Avenue
Minneapolis, MN 55454
United States

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