Document Type

Conference Paper

Publication Date

2014

Publication Title

35th International Annual Conference of the American Society for Engineering Management 2014, ASEM 2014

Pages

178-185

Conference Name

2014 International Annual Conference of the American Society for Engineering Management - Entrepreneurship Engineering: Harnessing Innovation, ASEM 2014, October 15-18, 2014, Virginia Beach, Virginia

Abstract

Most of the studies to explore the impact of distracted driving have been descriptive in nature; i.e. the research is conducted in naturalistic settings to evaluate the performance of the driver with and without distracters. However simulation models can also be used that predict the workload for driving tasks. Using concepts from process modeling, baseline models of driving tasks can be created for different driving sequences that include the associated fine motor, visual and cognitive human resources. These models can then be used to evaluate incidents of workload overload caused by different distracters, from both the internal and external vehicle environment. Identifying specific overloaded resources can lead to mitigation strategies to reduce workload and minimize distracted driving. Lessons learned from distracted driving research can then be applied to evaluation other types of manual, visual, and cognitive intensive tasks. Identifying combinations of tasks that contribute to peak workload of operators, and then simulating the impact of multi-tasking using personal devices (i.e. cell phones) can lead to management insights for other types of work environments. Additionally, iterative modeling can also include the impact of sensors and alerts, as well as enhanced workstation displays. Individual component overload can help understand causes for performance detriments during different task sequences, and the impact of additional types of technologies and activities. Using the simulation analysis, the impact on overall workload, identification of peak workload occurrences, and specific overloaded resources can lead to mitigation strategies to reduce workload and improve operator performance.

Rights

Copyright © American Society for Engineering Management, 2014. Reprinted with permission of the American Society for Engineering Management. International Annual Conference. All rights reserved.

ORCID

0000-0002-4798-003X (Handley)

Original Publication Citation

Handley, H. A. H., & Kandemir, C. (2014) Human system engineering applications from distracted driving simulations. In S. Long, E.-H. Ng, & C. Downing (Eds.), 35th International Annual Conference of the American Society for Engineering Management 2014, ASEM 2014 (pp. 178-185). American Society for Engineering Management.

Download

Share

COinS