The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception
Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese, Bart Knijnenburg, Anand Gramopadhye, Kapil Chalil Madathil
International Journal of Human-Computer Interaction, 40(20), 6510-6527 (2023)
Abstract
The paper reports on two empirical studies that provide the first examination into how the presentation of an AI teammate's identity, responsibility, and capability impacts humans' perception surrounding AI teammate adoption before interacting as teammates. Study 1's results indicated that AI teammates are accepted when they share equal responsibility on a task with humans, but other perceptions such as job security generally decline the more responsibility AI teammates have. Study 1 also revealed that identifying an AI as a tool instead of a teammate can have small benefits to human perceptions of job security and adoption. Study 2 revealed that the negative impacts of increasing responsibility can be mitigated by presenting AI teammates' capabilities as being endorsed by coworkers and one's own past experience. This paper discusses how to use these results to best balance the presentation of AI teammates' capabilities and responsibilities, as well as identifying AI as teammates.
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@article{flathmann2023the,
title = {The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception},
author = {Flathmann, Christopher and Schelble, Beau G. and McNeese, Nathan J. and Knijnenburg, Bart and Gramopadhye, Anand and Madathil, Kapil Chalil},
year = {2023},
journal = {International Journal of Human-Computer Interaction},
note = {40(20), 6510-6527},
doi = {10.1080/10447318.2023.2254984}
}Topics
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