Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomy.

Autor: Hauptman AI; Clemson University, 821 McMillan Road, Clemson, 29631, SC, USA. Electronic address: ahauptm@clemson.edu., Flathmann C; Clemson University, 821 McMillan Road, Clemson, 29631, SC, USA., McNeese NJ; Clemson University, 821 McMillan Road, Clemson, 29631, SC, USA.
Jazyk: angličtina
Zdroj: Applied ergonomics [Appl Ergon] 2024 Oct; Vol. 120, pp. 104336. Date of Electronic Publication: 2024 Jun 25.
DOI: 10.1016/j.apergo.2024.104336
Abstrakt: This systematic review provides an understanding of existing human factors research on adaptive autonomy, its design, its impacts, and its definition. We conducted a search on adaptive autonomy and additional relevant search terms in four databases, which produced an initial 245 articles. The application of inclusion and exclusion criteria produced a total of 60 articles for in-depth review. Through a collaborative coding process and analysis, we extracted triggers for and types of autonomy adaptations, as well as human factors dependent variables that have been studied in previous adaptive autonomy research. Based on this analysis, we present a definition of adaptive autonomy for use in human factors artificial intelligence research, as well as a comprehensive review of existing research contributions, notable research gaps, and the application of adaptive autonomy.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Published by Elsevier Ltd.)
Databáze: MEDLINE
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