Supporting Detection of Hostile Intentions: Automated Assistance in a Dynamic Decision-Making Context

Autor/inn/en	Patton, Colleen E.; Wickens, Christopher D.; Smith, C. A. P.; Noble, Kayla M.; Clegg, Benjamin A.
Titel	Supporting Detection of Hostile Intentions: Automated Assistance in a Dynamic Decision-Making Context
Quelle	In: Cognitive Research: Principles and Implications, 8 (2023), Artikel 69 (13 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Patton, Colleen E.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s41235-023-00519-5
Schlagwörter	Intention; Psychological Patterns; Identification; Automation; Decision Making; Behavior + Suchen Sie Ihr Suchwort? Identifikation; Identifizierung; Decision-making; Entscheidungsfindung
Abstract	In a dynamic decision-making task simulating basic ship movements, participants attempted, through a series of actions, to elicit and identify which one of six other ships was exhibiting either of two hostile behaviors. A high-performing, although imperfect, automated attention aid was introduced. It visually highlighted the ship categorized by an algorithm as the most likely to be hostile. Half of participants also received automation transparency in the form of a statement about why the hostile ship was highlighted. Results indicated that while the aid's advice was often complied with and hence led to higher accuracy with a shorter response time, detection was still suboptimal. Additionally, transparency had limited impacts on all aspects of performance. Implications for detection of hostile intentions and the challenges of supporting dynamic decision making are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01