Remote research methods for Human–AI–Robot Teaming
Additional information
Authors
Lematta G. J.,
Corral C. C.,
Buchanan V.,
Johnson C. J.,
Mudigonda A.,
Scholcover F.,
Wong M. E.,
Ezenyilimba A.,
Baeriswyl M.,
Kim J.,
Holder E.,
Chiou E. K.,
Cooke N. J.
Type
Journal Article
Year
2021
Language
English
Abstract
This study focuses on methodological adaptations and considerations for remote research on Human–AI–Robot Teaming (HART) amidst the COVID‐19 pandemic. Themes and effective remote research methods were explored. Central issues in remote research were identified, such as challenges in attending to participants' experiences, coordinating experimenter teams remotely, and protecting privacy and confidentiality. Instances of experimental design overcoming these challenges were identified in methods for recruitment and onboarding, training, team task scenarios, and measurement. Three case studies are presented in which interactive in‐person testbeds for HART were rapidly redesigned to function remotely. Although COVID‐19 may have temporarily constrained experimental design, future HART studies may adopt remote research methods to expand the research toolkit.
Journal
Human Factors and Ergonomics in Manufacturing & Service Industries
Volume
32
Number ( Month )
1
Pages (or article number)
133-150
ISSN
1090-8471, 1520-6564
Diffusion
License
License undefined
Visibility
Private
