Remote research methods for Human-AI-Robot Teaming
Human Factors and Ergonomics in Manufacturing & Service Industries
; 32(1):133-150, 2022.
Article
in English
| APA PsycInfo | ID: covidwho-2268438
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. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
Full text:
Available
Collection:
Databases of international organizations
Database:
APA PsycInfo
Language:
English
Journal:
Human Factors and Ergonomics in Manufacturing & Service Industries
Year:
2022
Document Type:
Article
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