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Understanding Changes in Mental Workload during Task Execution

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Title: Understanding Changes in Mental Workload during Task Execution
Author(s): Iqbal, Shamsi T.; Adamczyk, Piotr D.; Zheng, Xianjun S.; Bailey, Brian P.
Subject(s): Human computer interaction
Abstract: To contribute to systems that reason about human attention, our work empirically demonstrates how a user's mental workload changes during task execution. We conducted a study where users performed interactive, hierarchical tasks while mental workload was measured through the use of pupil size. Results show that (i) different types of subtasks impose different mental workload, (ii) workload decreases at subtask boundaries, (iii) workload decreases /more/ at boundaries higher in a task model and /less/ at boundaries lower in the model, (iv) workload changes among subtask boundaries within the same level of a task model, and (v) effective understanding of why changes in workload occur requires that the measure be tightly coupled to a validated task model. From the results, we show how to map mental workload onto a computational Index of Opportunity that systems can use to better reason about human attention.
Issue Date: 2004-09
Genre: Technical Report
Type: Text
URI: http://hdl.handle.net/2142/10901
Other Identifier(s): UIUCDCS-R-2004-2478
Rights Information: You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS: 2009-04-16
 

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