Defeating the Vigilance Decrement

REFERENCES

• Bartlett, F. C. (1932). Remembering. Cambridge, United Kingdom: Cambridge University Press.
   Google Scholar
• Broadbent, D. E., & Gregory, M. (1965). Effects of noise and of signal rate upon vigilance analysed by means of decision theory. Human Factors, 7,155–162.
   PubMed Web of Science ®Google Scholar
• Buckner, D. N., & McGrath, J. J. (Eds.). (1963). Vigilance: A symposium. New York, NY: McGraw-Hill.
   Google Scholar
• Davies, D. R., & Parasuraman, R. (1982). The psychology of vigilance. London, United Kingdom: Academic Press.
   Google Scholar
• Donders, F. C., & Becker, O. (1888). Die anomalien der refraction und accommodation des auges. Vienna, Austria: Wilhelm Brumüller.
   Google Scholar
• Fisk, A, & Schneider, W. (1981). Control and automatic processing during tasks requiring sustained attention: A new approach to vigilance. Human Factors, 23(6), 737–750.
   Web of Science ®Google Scholar
• Frankman, J. P., & Adams, J. A. (1962). Theories of vigilance. Psychological Bulletin, 59,257–272.
   PubMed Web of Science ®Google Scholar
• Gibson, J. J. (1979). The ecological approach to visual perception. Boston, MA: Houghton-Mifflin.
   Google Scholar
• Grubb, P. L., Warm, J. S., Dember, W. N., & Berch, D. G. (1995). Effects of multiple signal discrimination on vigilance performance and perceived workload. Proceedings of the Human Factors and Ergonomics Society, 39,1360–1364.
   Google Scholar
• Hancock, P. A. (2000, August). A stranger in paradigms. Presidential Keynote Address to the 14th Triennial Congress of the International Ergonomics Association and the 44th Annual Meeting of the Human Factors and Ergonomics Society, San Diego, CA.
   Google Scholar
• Hancock, P. A. (2007). On the nature of time in conceptual and computational nervous systems. Kronoscope, 7(2), 185–196.
   Google Scholar
• Hancock, P. A. (2013). In search of vigilance: The problem of iatrogenically created psychological phenomena. American Psychologist, 68,97–109.
   PubMed Web of Science ®Google Scholar
• Hancock, P. A. (2014a). Automation: How much is too much? Ergonomics, 57(3), 449–454.
   PubMed Web of Science ®Google Scholar
• Hancock, P. A. (2014b). Finding vigilance through complex explanations for complex phenomena. American Psychologist, 69,86–88.
   PubMed Web of Science ®Google Scholar
• Hancock, P. A. (2015). The royal road to time: How understanding of the evolution of time in the brain addresses memory, dreaming, flow and other psychological phenomena. American Journal of Psychology, 128(1), 1–14.
   PubMed Web of Science ®Google Scholar
• Hancock, P. A., & Caird, J. K. (1993). Experimental evaluation of a model of mental workload. Human Factors, 35(3), 413–429.
   PubMed Web of Science ®Google Scholar
• Hancock, P. A., Masalonis, A. J., & Parasuraman, R. (2000). On the theory of fuzzy signal detection: Theoretical and practical considerations and extensions. Theoretical Issues in Ergonomic Science, 1(3), 207–230.
   Google Scholar
• Hancock, P. A., Oron-Gilad, T., & Szalma, J. L. (2007). Elaborations of the multiple resource theory of attention. In A. F. Kramer, D. A. Wiegmann & A. Kirlik (Eds.), Attention: From theory to practice (pp. 45–56). Oxford, United Kingdom: Oxford University Press.
   Google Scholar
• Hancock, P. A., Sawyer, B. D., & Stafford, S. (2015). The effects of display size on performance. Ergonomics, 58(3), 337–354.
   PubMed Web of Science ®Google Scholar
• Head, H. (1923). The conception of nervous and mental energy (II). British Journal of Psychology. General Section, 14(2), 126–147.
   Google Scholar
• James, W. (1890). The principles of psychology. New York, NY: Holt.
   Google Scholar
• Jastrzębowski, W. (1997). An outline of ergonomics, or the science of work. Warsaw, Poland: Central Institute of Labour Protection ( Original work published 1857).
   Google Scholar
• Jerison, H. J. (1963). On the decrement function in human vigilance. Vigilance: A symposium (pp. 199–212). New York, NY: McGraw-Hill.
   Google Scholar
• Karwowski, W. (Ed.). (1986). Applications of fuzzy set theory in human factors. Amsterdam, The Netherlands: Elsevier.
   Google Scholar
• Mackworth, N. H. (1948). The breakdown of vigilance during prolonged visual search. Quarterly Journal of Experimental Psychology, 1(1), 6–21.
   Web of Science ®Google Scholar
• Mackworth, N. H. (1950). Researches on the measurement of human performance. Medical Research Council Special Report Series (268). London, United Kingdom: HMSO.
   Google Scholar
• Meister, D. (2004). Conceptual foundations of human factors measurement. Mahwah, NJ: Laurence Erlbaum.
   Google Scholar
• Nuechterlein, K. H., Parasuraman, R., & Jiang, Q. (1983). Visual sustained attention: Image degradation produces rapid sensitivity decrement over time. Science, 220(4594), 327–329.
   PubMed Web of Science ®Google Scholar
• Parasuraman, R. (1979). Memory load and event rate control sensitivity decrements in sustained attention. Science, 205,924–927.
   PubMed Web of Science ®Google Scholar
• Parasuraman, R., & Caggiano, D. (2005). Neural and genetic assays of human mental workload. In D. K. McBride & D. Schmorrow (Eds.), Quantifying human information processing (pp. 123–149). Lanham, MD: Lexington Books, Potomac Institute for Policy Studies.
   Google Scholar
• Parasuraman, R., & Davies, D. R. (1977). A taxonomic analysis of vigilance performance. In R. R. Mackie (Ed.), Vigilance: Theory, operational performance, and physiological coordinates (pp. 559–574). New York, NY: Springer. NATO Conference Series, Series III: Human Factors.
   Google Scholar
• Parasuraman, R., Masalonis, A. J., & Hancock, P. A. (2000). Fuzzy signal detection theory: Basic postulates and formulas for analyzing human and machine performance. Human Factors, 42(4), 636–659.
   PubMed Web of Science ®Google Scholar
• Parsons, K. S. (2007). Detection-action sequence in vigilance: Effects on workload and stress (Doctoral dissertation). Cincinnati, OH: University of Cincinnati.
   Google Scholar
• Pöppel, E. (1988). Mindworks: Time and conscious experience. San Diego, CA: Harcourt Brace Jovanovich.
   Google Scholar
• Posner, M. (1986). Chronometric explorations of mind. Oxford, United Kingdom: Oxford University Press.
   Google Scholar
• Rai, G. K., Tiwari, T., & Singh, I. L. (2010). Sensitivity and diagnosticity of response time and vigilance task taxonomy. Indian Journal Social Science Researches, 7(2), 75–81.
   Google Scholar
• See, J. E., Howe, S. R., Warm, J. S., & Dember, W. N. (1995). A meta-analysis of the sensitivity decrement in vigilance. Psychological Bulletin, 117,230–249.
   Web of Science ®Google Scholar
• Simons, D. J., Franconeri, S. L., & Reimer, R. L. (2000). Change blindness in the absence of a visual disruption. Perception, 29(10), 1143–1154.
   PubMed Web of Science ®Google Scholar
• Stafford, S. C., Szalma, J. L., Hancock, P. A., & Mouloua, M. (2003). Application of fuzzy signal detection theory to vigilance: The effect of criterion shifts. Proceedings of the Human Factors and Ergonomics Society, 47,1678–1682.
   Google Scholar
• Szalma, J. L. (2009). Individual differences in human–technology interaction: Incorporating variation in human characteristics into human factors and ergonomics research and design. Theoretical Issues in Ergonomics Science, 10(5), 381–397.
   Google Scholar
• Szalma, J. L. (2014). On the application of motivation theory to human factors/ergonomics motivational design principles for human–technology interaction. Human Factors: The Journal of the Human Factors and Ergonomics Society, 56, 453–1471.
   PubMed Web of Science ®Google Scholar
• Temple, J. G., Warm, J. S., Dember, W. N., Jones, K. S., LaGrange, C. M., & Matthews, G. (2000). The effects of signal salience and caffeine on performance, workload, and stress in an abbreviated vigilance task. Human Factors, 42,183–194.
   PubMed Web of Science ®Google Scholar
• Teo, G. W., Schmidt, T. N., Szalma, J. L., Hancock, G. M., & Hancock, P. A. (2012). The effect of knowledge of results for training vigilance in a video game-based environment. Proceedings of the Human Factors and Ergonomics Society, 56,1421–1425.
   Google Scholar
• Treisman, M., & Williams, T. C. (1984). A theory of criterion setting with an application to sequential dependencies. Psychological Review, 91(1), 68.
   Web of Science ®Google Scholar
• Vickers, D., & Leary, J. N. (1983). Criterion control in signal detection. Human Factors, 25,283–296.
   Web of Science ®Google Scholar
• Warm, J. S. (Ed.). (1984). Sustained attention in human performance. New York, NY: Wiley.
   Google Scholar
• Warm, J. S., Dember, W. N., & Hancock, P. A. (1996). Vigilance and workload in automated systems. In R. Parasuraman & M. Mouloua (Eds.), Automation and human performance: Theory and applications (pp. 183–200). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Warm, J. S., & Jerison, H. J. (1984). The psychophysics of vigilance. In J. S. Warm (Eds.), Sustained attention in human performance (pp. 15–59). Chichester, United Kingdom: Wiley.
   Google Scholar
• Wickens, C. D. (1980). The structure of attentional resources. In R. Nickerson (Eds.), Attention and performance VIII. (pp. 239–257). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Wolfe, J. M., & Cave, K. R. (1989). Modeling the role of parallel processing in visual search. Cognitive Psychology, 22(2), 225–271.
   Web of Science ®Google Scholar
• Wolfe, J. M., Horowitz, T. S., & Kenner, N. M. (2005). Cognitive psychology: Rare items often missed in visual searches. Nature, 435(7041), 439–440.
   PubMed Web of Science ®Google Scholar
• Woods, D. D. (1999, September). Watching human factors watching people at work. Presidential Address to the Human Factors and Ergonomics Society, Houston, TX.
   Google Scholar
• Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8,338–353.
   Web of Science ®Google Scholar