This paper examines issues of fatigue in inspection by using an established function analysis of inspection to show its characteristics, and then proposing a four-level classification of temporal effects to help future applications. This classification divides the temporal effects into four components: weekly, daily, hourly, and minute time scales. The analysis presented here will form the basis for the design of future experimental studies of temporal factors in aircraft inspection.
Get full access to this article
View all access options for this article.
References
1.
Bureau of Labor Statistics (1991). BLS, Washington.
2.
RoccoAella P. S.ComperatoreC.CaldwellL.CruzC. E. (2000). The Effects of Napping on Night Shift Performance. FAA Tech Report.
3.
DruryC. G. (2003). Human Factors and Inspection: Best Practices. Proceedings of the 93rd Congress of the International Ergonomics Association Annual Conference, Seoul, Korea.
4.
DruryC. G.HongS.-K. (2000). Generalizing from single target search to multiple target search. Theoretical Issues in Ergonomics Science. 1(4), 303–314.
5.
DruryC. G.PrabhuP. V. (1994). Human factors in test and inspection. In SalvendyG.KarwowskiW. (eds.), Design of Work and Development of Personnel in Advanced Manufacturing, J. Wiley, New York, 355–402.
6.
FletcherA.DawsonD. (1998). A Work-Related Fatigue Model Based on Hours-of-Work. Managing fatigue in transportation: proceedings of the 3rd Fatigue in Transportation Conference, Fremantle, Western Australia, 189–208.
7.
FletcherA.DawsonD. (2001. Field-based validations of a work-related fatigue model based on hours of work. Transportation Research Part F4, 75–88.
8.
FolkardS. (2002). Work Hours of Aircraft Maintenance Personnel. Civil Aviation Authority, CAA Paper 2002/06.
9.
FolkardS.MonkT. (1985). Hours of Work, Temporal Factors in Work-Scheduling, John Wiley and Sons, Chichester.
10.
FrenchJ.MorrisC. S. (2003). Modeling Fatigue Degraded Performance in Artificial Agents. Proceeding of the Human Factors and Ergonomics Society 47th Annual Meeting, 307–310.
11.
HorowitzT. S.CadeB.WolfeJ. M.CzieslerC. A. (2003). Searching night and day: A dissociation of effects of circadian phase and time awake on visual selective attention and vigilance. Psychological Science, 14(6), 549–557.
12.
HueyB. M.WickensC. D. (1993). Workload Transition: Implications for Individual and Team Performance, The National Academy of Sciences.
13.
MurgatroydR. A.WorrallG. M.WaitesC. (1994). A Study of the Human Factors Influencing the Reliability of Aircraft Inspection, AEA/TSD/0173. Risley, AEA Technology.
14.
PanjawaniG.DruryC. G. (2003). Effective Interventions in Rare Event Inspection. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Denver, CO, 41–45.
15.
ParasuramanR.DaviesD. R. (1977). A taxonomic Analysis of Vigilance Performance. In MackieR. R. (ed), Vigilance, Theory, Operational Performance, and Physiological Correlates, Plenum Press, New York.
16.
TeichnerW. H. (1974). The Detection of a Simple Visual Signal as a Function of Time of Watch. Human Factors, 16(4), 339–353.
17.
SeeJ.HoweS. R.WarmJ. S.DemberW. N. (1995). Meta-Analysis of the Sensitivity Decrement in Vigilance. Psychological Bulletin, 117(2), 230–249.
18.
TsaoY.-C.WangT.-G. (1984). Inspectors' Stopping Policy After Fault Detection. Human Factors, 26(6), 649–657.
19.
WolfeJ. M. (1994). Guided Search 2.0: A Revised Model of Visual Search. Psychonomic Bulletin and Review, 1(2), 202–238.
