Experimental Evaluation of STOM in a Business Setting

Author:

Gilbert Karen M.1,Wickens Christopher D.1

Affiliation:

1. Colorado State University

Abstract

This study investigated the effect of autonomous prioritization on attention in a high-workload environment. It explored the “priority mystery,” or neglect of priority in switching behavior, found in previous Strategic Task Overload Model (STOM) experiments (Wickens Gutzwiller & Santamaria, 2015; Raby & Wickens 1994). We hypothesized that participants who could choose their own prioritization of tasks would view their prioritized task as more attractive and allocate more time and attention than participants who were not able to autonomously prioritize the tasks. Ninety-three participants were told to choose their own priority, given a priority, or not given any direction on priority of tasks. Participants had thirty minutes to complete two computer-based tasks and then were asked to rate the priority, interest, difficulty, and salience of each task. Priority influenced time on task most for the self-chosen priority group and not at all for the group given no priority direction. The more difficult task was also chosen less frequently. The implications and limitations of this study are discussed.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Task priority reduces an adverse effect of task load on automation trust in a dynamic multitasking environment;Cognition, Technology & Work;2022-09-27

2. Validating the Strategic Task Overload Management (STOM) Model Using MATB II and Eye-tracking;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2021-09

3. Modeling Task Scheduling Decisions of Emergency Department Physicians;Human Factors: The Journal of the Human Factors and Ergonomics Society;2019-12-31

4. The role of reward and effort over time in task switching;Theoretical Issues in Ergonomics Science;2018-12-17

5. Task Switching in Rock Climbing: Validation of a Computational Model for Different Skill Levels;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2018-09

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