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Shari Cavicchi; Abdulaziz Abubshait; Giulia Siri; Magda Mustile; Francesca Ciardo – Cognitive Research: Principles and Implications, 2025
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-world scenarios, the existence of offloading strategies to reduce cognitive load is not new to…
Descriptors: Robotics, Psychological Patterns, Cognitive Processes, Computer Software
Marina Pi-Ruano; Alexandra Fort; Pilar Tejero; Christophe Jallais; Javier Roca – Cognitive Research: Principles and Implications, 2024
Partially autonomous vehicles can help minimize human errors. However, being free from some driving subtasks can result in a low vigilance state, which can affect the driver's attention towards the road. The present study first tested whether drivers of partially autonomous vehicles would benefit from the addition of auditory versions of the…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Task Analysis, Motor Vehicles
Sandry, Joshua; Ricker, Timothy J. – Cognitive Research: Principles and Implications, 2022
The drift diffusion model (DDM) is a widely applied computational model of decision making that allows differentiation between latent cognitive and residual processes. One main assumption of the DDM that has undergone little empirical testing is the level of independence between cognitive and motor responses. If true, widespread incorporation of…
Descriptors: Decision Making, Motor Reactions, Cognitive Processes, Comparative Analysis
Lamb, Richard L. – ProQuest LLC, 2013
Serious Educational Games (SEGs) have been a topic of increased popularity within the educational realm since the early millennia. SEGs are generalized form of Serious Games to mean games for purposes other than entertainment but, that also specifically include training, educational purpose and pedagogy within their design. This rise in popularity…
Descriptors: Educational Games, Models, Artificial Intelligence, Neurological Organization
Ritter, Frank E.; Bibby, Peter A. – Cognitive Science, 2008
We have developed a process model that learns in multiple ways while finding faults in a simple control panel device. The model predicts human participants' learning through its own learning. The model's performance was systematically compared to human learning data, including the time course and specific sequence of learned behaviors. These…
Descriptors: Problem Solving, Artificial Intelligence, Comparative Analysis, Task Analysis
Mavor, A. S.; And Others – 1981
Part of a sustained program that has involved the design of personally tailored information systems responsive to the needs of scientists performing common research and teaching tasks, this project focuses on the procedural and content requirements for accomplishing need diagnosis and presents these requirements as specifications for an…
Descriptors: Artificial Intelligence, Cognitive Processes, Identification, Information Needs
Lumsdaine, A.A.; And Others – 1970
The work of a three-year series of experimental studies of human cognition is summarized in this report. Proglem solving and learning in man-machine interaction was investigated, as well as relevant variables and processes. The work included four separate projects: (1) computer-aided problem solving, (2) computer-aided instruction techniques, (3)…
Descriptors: Abstract Reasoning, Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction

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