← All publications
IJHCIJournal Article2022
Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition
Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Thomas A. O'Neill, Richard Pak, Moses Namara
International Journal of Human-Computer Interaction, 39(13), 2686-2701 (2022)
PDF coming soon
The free author-version PDF for this paper hasn't been uploaded yet. In the meantime, use the publisher link above, or email me and I'll send you a copy directly. Research should be accessible to everyone.
BibTeX
@article{schelble2022investigating,
title = {Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition},
author = {Schelble, Beau G. and Flathmann, Christopher and McNeese, Nathan J. and O'Neill, Thomas A. and Pak, Richard and Namara, Moses},
year = {2022},
journal = {International Journal of Human-Computer Interaction},
note = {39(13), 2686-2701},
doi = {10.1080/10447318.2022.2085191}
}Topics
team cognitionhuman-AI teaming
Related Work
PACM HCI·2026
A Mixed Methods Approach to Analyzing the Role of AI Teammates in Transition Phases
Proceedings of the ACM on Human-Computer Interaction
Appl. Ergonomics·2025
The Spread of Trust and Distrust in Human-AI Teams
Applied Ergonomics
IJHCI·2025
Should AI Teammates Give All the Answers? Examining the Role of Different AI Information-Sharing Techniques on Team Cognition in Human-AI Teams
International Journal of Human-Computer Interaction
BIT·2024
Modeling Perceived Information Needs in Human-AI Teams: Improving AI Teammate Utility and Driving Team Cognition
Behaviour & Information Technology