Mental Workload Manipulation Using Multiple Homogeneous Tasks: Performance Effects

Abstract

The research project was a 12 month endeavor to conduct empirical research, the results of which provide a better understanding of multi-tasking and mental workload, concepts that are increasingly important to Army research. Soldiers face increasing mental workload demands as they face tasks created by new personnel demands and technology demands. This research provides a deeper understanding of how performance declines as mental workload demand increases. The theoretical underpinnings of this research include (a) multiple resource theory and (b) the accomplishment model of average mental workload. Multiple resource theory assumes that there are three mental workload dimensions: stages (cognitive, response), processing codes (verbal, spatial), and sensory modalities (auditory, visual), (b) The accomplishment model is an example of a fundamental measurement theory. The accomplishment model assumes that mental workload is an extensive measurement system so that its methods are used to scale task performance in order to recover underlying mental workload levels (a performance-resource relationship). Both approaches are applicable if testing is conducted using sets of tasks that are homogeneous, so that the same resource dimension is needed to perform all tasks. The research is unique because the number of concurrently performed tasks (from 1 to 8) was used to determine the total mental workload.

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Document Details

Document Type
Technical Report
Publication Date
Sep 03, 2010
Accession Number
ADA530185

Entities

People

  • Herbert A. Colle

Organizations

  • Wright State University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Science
  • Cognitive Workload
  • Combinatorial Analysis
  • Dead Time
  • Experimental Design
  • Factorial Design
  • Human Factors Engineering
  • Measurement
  • Military Research
  • New York
  • Programming Languages
  • Psychology
  • Statistics
  • Task Performance And Analysis
  • Technical Information Centers
  • Workload

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.