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Paper Number
1861
Paper Type
Complete
Abstract
Robots hold vast potential for human-technology interaction and organizational performance. Yet, their acceptance and long-term value for organizations remains uncertain. Utilizing a mixed-method approach, we examine the acceptance and long-term team performance implications of a robot assistant in daily teamwork. Online study results with 1,083 participants show that android robots are preferred as team assistant over humanoid ones. Furthermore, equally high expectations and experiences regarding the robot's role lead to greater robot acceptance. A long-term field experiment with five teams over eight weeks yields insights “after the first glance” of human-technology interaction with robots: Mixed human-robot teams achieve higher overall customer ratings and differ from human-only teams mainly in the long-term. Specifically, these teams have lower performance drops in the late team development phase of “adjourning” than human-only teams. Our mixed-method approach, including a long-term perspective, adds to IS research on human-computer-interaction with robots as emerging technology in organizations.
Recommended Citation
Heitlinger, Lea; Stock-Homburg, Ruth Maria; Wolf, Franziska; and Wirtz, Jochen, "After the First Glance! Robot Acceptance and Long-term Performance in Human-Robot Teams" (2024). ICIS 2024 Proceedings. 9.
https://aisel.aisnet.org/icis2024/humtechinter/humtechinter/9
After the First Glance! Robot Acceptance and Long-term Performance in Human-Robot Teams
Robots hold vast potential for human-technology interaction and organizational performance. Yet, their acceptance and long-term value for organizations remains uncertain. Utilizing a mixed-method approach, we examine the acceptance and long-term team performance implications of a robot assistant in daily teamwork. Online study results with 1,083 participants show that android robots are preferred as team assistant over humanoid ones. Furthermore, equally high expectations and experiences regarding the robot's role lead to greater robot acceptance. A long-term field experiment with five teams over eight weeks yields insights “after the first glance” of human-technology interaction with robots: Mixed human-robot teams achieve higher overall customer ratings and differ from human-only teams mainly in the long-term. Specifically, these teams have lower performance drops in the late team development phase of “adjourning” than human-only teams. Our mixed-method approach, including a long-term perspective, adds to IS research on human-computer-interaction with robots as emerging technology in organizations.
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