Cognitive Load Modeling for Human-Computer Interaction in Autonomous Vehicle Interfaces: Models cognitive load to optimize human-computer interaction in interfaces within autonomous vehicles
Keywords:
Cognitive load modeling, Human-computer interaction, Autonomous vehiclesAbstract
Cognitive load modeling plays a crucial role in optimizing human-computer interaction (HCI) within autonomous vehicles (AVs). This paper presents a comprehensive review of cognitive load theory and its application in designing interfaces for AVs. We discuss the challenges of HCI in AVs, such as the need for attentional resources, decision-making processes, and the impact of automation on cognitive load. We propose a framework for modeling cognitive load in AV interfaces based on existing theories and empirical research. This framework aims to enhance user experience, reduce errors, and improve overall safety in AV operations.
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