Remote research methods for Human–AI–Robot Teaming
Informazioni aggiuntive
Autori
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.
Tipo
Articolo pubblicato in rivista scientifica
Anno
2021
Lingua
Inglese
Sommario
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.
Periodico
Human Factors and Ergonomics in Manufacturing & Service Industries
Volume
32
Numero ( Mese )
1
Pagine (o numero dell’articolo)
133-150
ISSN
1090-8471, 1520-6564
Diffusione
Licenza
Licenza non definita
Visibilità
Privato
