Automation Technology and Human Performance: Current Research and Trends

By Mark W. Scerbo | Go to book overview

Sleep-Disordered Breathing (SDB), Daytime Sleepiness, and Complex Monitoring Task Performance

Hyon Kim Barrett Caldwell Jason Pionek Terry Young Departments of Preventive Medicine and Industrial Engineering, University of Wisconsin-Madison


INTRODUCTION

Sleep-disordered breathing (SDB) is a condition characterized by repeated breathing pauses, decreased oxyhemoglobin levels, and sleep fragmentation during nocturnal sleep. SDB is considered to be a chronic condition, and unrecognized SDB is prevalent in adult population. SDB is hypothesized to be associated with chronic behavioral morbidity including problems with decreased concentration and attention. Diminished concentration and attention due to daytime sleepiness or other consequences of SDB may impair complex monitoring task performances in day to day operation. This study explores the relationship between SDB and complex monitoring task performance in a general population. We report here on the association between unrecognized SDB and overall performance, decrement in performance, and self-reported workload in a complex monitoring computer task. In addition, data on subjective and objective measures of sleepiness were used to investigate the role of sleepiness in complex task performance.


METHODS

Subjects

From the Wisconsin Sleep Cohort Study, a longitudinal population-based study of the natural history of SDB among working adults ( Young, Palta, Dempsey, Skatrud, Weber, & Badr, 1993), 107 consecutive participants (67 men and 40 women) were used in this cross-sectional study. Mean age of our study sample was 51±9. Most (99) had computer experience; 73 had computer experience greater than "moderate".


Data Collection

Complex Monitoring Task Performance: Multi-Attribute Task Battery . A revised version of the Multi-Attribute Task battery (MAT; Comstock & Arnegard, 1992) was used to assess complex monitoring task performance and decrement in performance on the simulated systems monitoring and fuel management tasks, and self-reported workload during task performance. The 25-minute MAT consisted of a low systems monitoring task load preceded and followed by both a fuel management task and higher task load on the systems monitoring task. The MAT battery signal script is a shown Table 1.


Table 1
MAT Signal Script
Elapse Time (min.) Time # of light changes # of dial changes # of pump failures
1-9 1 8 5 8
9-16 5 2 0
16-24 2 8 5 8
Workload Rating: Every 5 minutes.

-204-

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