Time Stress and the Processing of Visual Displays

Selecting the appropriate display format for time-constrained tasks is the focus of the research presented in this paper. The effect of time stress on operator performance was assessed by manipulating the time available to process the display. Twenty people were trained as operators and instructed to identify the state of a system using either a digital display or a polygon display. Participants were required to reach a prespecified criterion in training and were then tested under?. time-constrained conditions. Time constraints were set at 100%, 50%, and 25% of each person's mean unpaced response times obtained during training. Results showed that response to the time constrained conditions was significantly affected by uncertainty and the type of display format. Discussion focuses on the effects of time stress on performance and the selection of displays for time-constrained tasks.

[1]  W. R. Garner.  The Processing of Information and Structure , 1974 .

[2]  W. R. Garner,et al.  Selective attention to attributes and to stimuli. , 1978, Journal of experimental psychology. General.

[3]  C D Wickens,et al.  The perceptual interaction of graphical attributes: Configurality, stimulus homogeneity, and object integration , 1990, Perception & psychophysics.

[4]  Eric R. Zieyel.  Operations research : applications and algorithms , 1988 .

[5]  Walter L. Smith.  Probability and Statistics , 1959, Nature.

[6]  Bruce G. Coury,et al.  Team Performance in Dynamic Systems , 1991 .

[7]  Christopher D. Wickens,et al.  Information integration and the object display An interaction of task demands and display superiority , 1987 .

[8]  J. R. Pomerantz,et al.  Emergent features, attention, and perceptual glue in visual form perception. , 1989, Journal of experimental psychology. Human perception and performance.

[9]  Mary Anne Buttigieg,et al.  Object Displays Do Not Always Support Better Integrated Task Performance , 1989 .

[10]  Bruce G. Coury,et al.  Probing the Mental Models of System State Categories with Multidimensional Scaling , 1992, Int. J. Man Mach. Stud..

[11]  John H. Holland,et al.  Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.

[12]  C G Drury,et al.  The effects of pacing on complex decision-making inspection performance. , 1986, Ergonomics.

[13]  M D Boulette,et al.  Effect of Uncertainty and diagnosticity on Classification of Multidimensional Data with Integral and Separable Displays of System Status , 1989, Human factors.

[14]  D. Kahneman,et al.  Attention and Effort , 1973 .

[15]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[16]  L. Kaufman,et al.  Handbook of perception and human performance , 1986 .

[17]  Christopher D. Wickens,et al.  The Structure of Attentional Resources , 1980 .

[18]  M. Degroot.  Optimal Statistical Decisions , 1970 .

[19]  Giuseppe Mancini,et al.  Intelligent Decision Support in Process Environments , 1986, NATO ASI Series.

[20]  Anne Treisman,et al.  Properties, Parts, and Objects , 1986 .

[21]  Bruce G Coury,et al.  Alphanumeric and graphic displays for dynamic process monitoring and control. , 1989, Ergonomics.

[22]  James R. Pomerantz,et al.  CHAPTER 1 – Visual Form Perception: An Overview* , 1986 .