Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Workload modeling using time windows and utilization in an air traffic control task

Lee, PJ and Kolling, A and Lewis, M (2011) Workload modeling using time windows and utilization in an air traffic control task. In: UNSPECIFIED.

[img]
Preview
PDF
Available under License : See the attached license file.

Download (916kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

In this paper, we show how to assess human workload for continuous tasks and describe how operator performance is affected by variations in break-work intervals and by different utilizations. A study was conducted examining the effects of different break-work intervals and utilization as a factor in a mental workload model. We investigated the impact of operator performance on operational error while performing continuous event-driven air traffic control tasks with multiple aircraft. To this end we have developed a simple air traffic control (ATC) model aimed at distributing breaks to form different configurations with the same utilization. The presented approach extends prior concepts of workload and utilization, which are based on a simple average utilization, and considers the specific patterns of break-work intervals. Copyright 2011 by Human Factors and Ergonomics Society, Inc. All rights reserved.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lee, PJ
Kolling, A
Lewis, M
Date: 28 November 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings of the Human Factors and Ergonomics Society
Page Range: 846 - 850
Event Type: Conference
DOI or Unique Handle: 10.1177/1071181311551176
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9780945289395
ISSN: 1071-1813
Date Deposited: 15 Jun 2012 19:51
Last Modified: 24 Jan 2019 00:55
URI: http://d-scholarship.pitt.edu/id/eprint/12402

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item