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Harris, Anthony M.; Eayrs, Joshua O.; Lavie, Nilli – Cognitive Research: Principles and Implications, 2023
Highly-automated technologies are increasingly incorporated into existing systems, for instance in advanced car models. Although highly automated modes permit non-driving activities (e.g. internet browsing), drivers are expected to reassume control upon a 'take over' signal from the automation. To assess a person's readiness for takeover,…
Descriptors: Eye Movements, Attention, Cognitive Processes, Reaction Time
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Kondyli, Vasiliki; Bhatt, Mehul; Levin, Daniel; Suchan, Jakob – Cognitive Research: Principles and Implications, 2023
How do the limits of high-level visual processing affect human performance in naturalistic, dynamic settings of (multimodal) interaction where observers can draw on experience to strategically adapt attention to familiar forms of complexity? In this backdrop, we investigate change detection in a driving context to study attentional allocation…
Descriptors: Motor Vehicles, Visual Perception, Attention, Spatial Ability
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Papesh, Megan H.; Hout, Michael C.; Guevara Pinto, Juan D.; Robbins, Arryn; Lopez, Alexis – Cognitive Research: Principles and Implications, 2021
Domain-specific expertise changes the way people perceive, process, and remember information from that domain. This is often observed in visual domains involving skilled searches, such as athletics referees, or professional visual searchers (e.g., security and medical screeners). Although existing research has compared expert to novice performance…
Descriptors: Visual Perception, Eye Movements, Expertise, Cognitive Processes