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Perceived duration of expected and unexpected stimuli

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Abstract

Three experiments assessed whether perceived stimulus duration depends on whether participants process an expected or an unexpected visual stimulus. Participants compared the duration of a constant standard stimulus with a variable comparison stimulus. Changes in expectancy were induced by presenting one type of comparison more frequently than another type. Experiment 1 used standard durations of 100 and 400 ms, and Experiments 2 and 3 durations of 400 and 800 ms. Stimulus frequency did not affect perceived duration in Experiment 1. In Experiments 2 and 3, however, frequent comparisons were perceived as shorter than infrequent ones, and discrimination performance was better for infrequent comparisons. Overall, this study supports the notion that infrequent stimuli increase the speed of an internal pacemaker.

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Notes

  1. We thank Jochen Müssler for suggesting this hypothesis.

  2. The results of this experiment replicated the major results of a pilot study that was performed in the former laboratory of the first author at the University of Wuppertal. The experimental setting of this previous pilot study was virtually identical to that of Experiment 2 and the same number of participants took part in this pilot study. The primary exception was that this previous study employed different stimulus colors. As in the present experiment, this previous work produced a reliable, analogous effect on CE of stimulus frequency, F(1,23) = 11.6, p = .002, and of standard duration, F(1,23) = 6.2, p = .020. In contrast to the present results, the interaction of both factors approached statistical significance, F(1,23) = 3.9, p = .060. The frequency effect was somewhat larger for the 800-ms than for the 400-ms condition. DL also increased with standard duration, F(1,23) = 74.9, p < .001. As in the present experiment, DL was slightly smaller for infrequent than for frequent stimuli. This effect was, however, significant in the former study, F(1,23) = 8.6, p = .007 (mean DL = 79 vs. 68 ms). The interaction of these two factors was statistically insignificant, F(1,23) = 2.2, p = .156. In sum, then, the effect of stimulus frequency on CE turns out to be rather robust.

  3. Post-experimental interviews revealed that most participants did not notice that two different standard durations were employed during this experiment. This could have facilitated such a carry-over effect.

  4. To assess these carry-over effects in detail, we performed a further ANOVA on PSE. This ANOVA not only included the two within-participants “stimulus frequency” and “standard duration,” but also the between-participants factor “order of standard conditions.” This analysis replicated the results reported above. However, it also revealed a main effect of order, F(1,22) = 5.6, p = .027, and a significant interaction of standard duration and order of conditions, F(1,22) = 4.8, p = .038. In brief, the PSE was generally larger for the group who started with the 400-ms rather than with the 800-ms condition. In addition, this order effect was stronger for the 800-ms standard than for the 400-ms standard. The same ANOVA was performed for the data of Experiment 1. This analysis yielded again a significant interaction of standard duration and order of conditions, F(1,22) = 6.2, p = .021, but not a significant main effect of order, F < 1. The PSE of the 400-ms standard was larger for the group who started with the 100-ms condition than for the group who started with 400-ms condition. For the 100-ms standard, however, a reversed order effect was obtained.

  5. In a further pilot experiment, we employed a stimulus duration of 1,200 ms to see if the findings of Experiment 2 would generalize to a larger range of stimulus durations. Unfortunately, however, this temporal discrimination task became too difficult for our participants and thus the obtained DLs were extremely large. Power analysis revealed that a huge sample size would be necessary to reach the same level of statistical power as in Experiment 2.

References

  • Allan, L. G., Kristofferson, A. B., & Wiens, E. W. (1971). Duration discrimination of brief light flashes. Perception and Psychophysics, 9, 327–334.

    Google Scholar 

  • Block, R. A. (1994). Time-order errors. In S. L. Macey (Ed.), Encyclopedia of time (pp. 632). New York: Garland.

  • Brown, S. W. (1995). Time perception and attention: The effects of practice versus retrospective paradigms and task demands on perceived duration. Perception & Psychophysics, 38, 115–124.

    Google Scholar 

  • Brown, S. W. (1997). Attention resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks. Perception & Psychophysics, 59, 1118–1140.

    CAS  Google Scholar 

  • Brown, S. W., & Boltz, M. G. (2002). Attentional processes in time perception: Effects of mental workload and event structure. Journal of Experimental Psychology: Human Perception and Performance, 28, 600–615.

    Article  PubMed  Google Scholar 

  • Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97, 523–547.

    Article  CAS  PubMed  Google Scholar 

  • Busey, T. A., & Loftus, G. R. (1994). Sensory and cognitive components of visual information acquisition. Psychological Review, 101, 446–469.

    Article  CAS  PubMed  Google Scholar 

  • Bush, R. R. (1963). Estimation and evaluation. In R. D. Luce, R. R. Bush, & E. Galanter (Eds.), Handbook of mathematical psychology: Vol. 1 (pp. 429–469). New York: Wiley.

  • Casini, L., & Macar, F. (1999). Multiple approaches to investigate the existence of an internal clock using attentional resources. Behavioural Processes, 45, 73–85.

    Article  Google Scholar 

  • Chen, Z., & O’Neill, P. (2001). Processing demand modulates the effects of spatial attention on the judged duration of brief stimulus. Perception & Psychophysics, 63, 1229–1238.

    CAS  Google Scholar 

  • Church, R. M., & Gibbon, J. (1982). Temporal generalization. Journal of Experimental Psychology: Animal Behavior Processes, 8, 165–186.

    Article  CAS  PubMed  Google Scholar 

  • Creelman, C. D. (1962). Human discrimination of auditory stimuli. Journal of the Acoustical Society, 34, 582–593.

    Google Scholar 

  • Droit-Volet, S. (2002). Scalar timing in temporal generalization in children with short and long stimulus durations. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 55A, 1193–1209.

    Google Scholar 

  • Efron, R. (1970). The relationship between the duration of a stimulus and the duration of a perception. Neuropsychologia, 8, 37–55.

    Article  CAS  PubMed  Google Scholar 

  • Enns, J. T., Brehaut, J. C., & Shore, D. I. (1999). The duration of a brief event in the mind’s eye. Journal of General Psychology, 126, 355–372.

    CAS  PubMed  Google Scholar 

  • Fortin, C. (2003). Attentional time-sharing in interval timing. In W. H. Meck (Ed.), Functional and neural mechanisms of interval timing (pp. 235–260). Boca Raton, FL: CRC.

  • Getty, D. J. (1975). Discrimination of short temporal intervals: A comparison of two models. Perception & Psychophysics, 18, 1–8.

    Google Scholar 

  • Gibbon, J. (1977). Scalar expectancy theory and Weber’s law in animal timing. Psychological Review, 84, 279–325.

    Article  Google Scholar 

  • Gibbon, J. (1991). Origins of scalar timing. Learning and Motivation, 22, 3–38.

    Article  Google Scholar 

  • Goldstone, S., & Goldfarb, J. L. (1964). Auditory and visual time judgment. Journal of General Psychology, 70, 369–387.

    CAS  PubMed  Google Scholar 

  • Goldstone, S., & Lhamon, W. T. (1974). Studies of auditory-visual differences in human time judgment. I. Sounds are judges longer than lights. Perceptual and Motor Skills, 39, 63–82.

    CAS  PubMed  Google Scholar 

  • Goldstone, S., Lhamon, W. T., & Sechzer, J. (1978). Light intensity and judged duration. Bulletin of the Psychonomic Society, 12, 83–84.

    Google Scholar 

  • Goodfellow, L. D. (1934). An empirical comparison of audition, vision, and touch in the discrimination of short intervals of time. American Journal of Psychology, 46, 243–258.

    Google Scholar 

  • Grondin, S. (1993). Duration discrimination of empty and filled intervals marked by auditory and visual signals. Perception & Psychophysics, 54, 383–394.

    CAS  Google Scholar 

  • Grondin, S. (2001a). From physical time to the first and second moments of psychological time. Psychological Bulletin, 127, 22–44.

    Google Scholar 

  • Grondin, S. (2001b). Discriminating time intervals presented in sequences marked by visual signals. Perception & Psychophysics, 63, 1214–1228.

    Google Scholar 

  • Hemmes, N. S., Brown, B. L., & Kladopoulos, C. N. (2004). Time perception with and without a concurrent nontemporal task. Perception & Psychophysics, 66, 328–341.

    Google Scholar 

  • Jacoby, L. L., & Dallas, M. (1981). On the relationship between autobiographical memory and perceptual learning. Journal of Experimental Psychology: General, 110, 306–340.

    CAS  Google Scholar 

  • Kaernbach, C. (1991). Simple adaptive testing with the weighted up-down method. Perception & Psychophysics, 49, 227–229.

    CAS  Google Scholar 

  • Killeen, P. R., & Fetterman, J. G. (1988). A behavioral theory of timing. Psychological Review, 95, 274–295.

    Article  CAS  PubMed  Google Scholar 

  • Lejeune, H. (1998). Switching or gating? The attentional challenge in cognitive models of psychological time. Behavioural Processes, 44, 127–145.

    Article  Google Scholar 

  • Lewis, P. A., & Miall, R. C. (2003). Distinct systems for automatic and cognitively controlled time measurement: Evidence from neuroimaging. Current Opinion in Neurobiology, 13, 1–6.

    Google Scholar 

  • Loftus, G. R., & Masson, M. E. J. (1994). Using confidence intervals in within-subjects designs. Psychonomic Bulletin & Review, 1, 476–490.

    Google Scholar 

  • Malapani, C., & Fairhurst, S. (2002). Scalar timing in animals and humans. Learning and Motivation, 33, 156–176.

    Article  Google Scholar 

  • Mattes, S., & Ulrich, R. (1998). Directed attention prolongs the perceived duration of a brief stimulus. Perception & Psychophysics, 60, 1305–1317.

    CAS  Google Scholar 

  • McCormack, T., Brown, G. D. A., Maylor, E. A., Richardson, L. B. N., & Darby, R. J. (2002). Effects of aging on absolute identification of duration. Psychology and Aging, 17, 363–378.

    Article  PubMed  Google Scholar 

  • Michon, J. A. (1985). The compleat time experiencer. In J. A. Michon & J. L. Jackson (Eds.), Time, mind, and behavior (pp. 21–52). Berlin Heidelberg New York: Springer.

    Google Scholar 

  • Miller, J., Franz, V., & Ulrich, R. (1999). Effects of auditory stimulus intensity on response force in simple, go/no-go, and choice RT tasks. Perception & Psychophysics, 61, 107–119.

    CAS  Google Scholar 

  • Pachella, R. G. (1975). The effect of set on the tachistoscopic recognition of pictures. In P. M. A. Rabbitt and S. Dornic (Eds.), Attention and performance V (pp. 136–156). Hillsdale: Erlbaum.

  • Pang, K., Merkel, F., Egeth, H., & Olton, D. S. (1992). Expectancy and stimulus frequency: A comparative analysis in rats and humans. Perception & Psychophysics, 51, 607–615.

    CAS  Google Scholar 

  • Pashler, H. E. (1998). The psychology of attention. Cambridge, MA: MIT Press.

  • Penney, T. B., Gibbon, J., & Meck, W. H. (2000). Differential effects of auditory and visual signals on clock speed and temporal memory. Journal of Experimental Psychology: Human Perception and Performance, 26, 1770–1787.

    Article  CAS  PubMed  Google Scholar 

  • Penton-Voak, I. S., Edwards, H., Percival, A., & Wearden, J. H. (1996). Speeding up an internal clock in humans? Effects of click trains on subjective duration. Journal of Experimental Psychology: Animal Behavior Processes, 22, 307–320.

    Article  CAS  PubMed  Google Scholar 

  • Posner, M. I. (1978). Chronometric explorations of mind. Hillsdale, NJ: Erlbaum.

  • Posner, M. I., Nissen, M. J., & Ogden, W. C. (1978). Attended and unattended processing modes: The role of set for spatial location. In H. L. Pick, Jr., & I. J. Saltzman (Eds.), Modes of perceiving and processing information (pp. 137–157). Hillsdale, NJ: Erlbaum.

  • Postman, L., & Miller, G. A. (1945). Anchoring of temporal judgements. American Journal of Psychology, 58, 43–53.

    Google Scholar 

  • Rammsayer, T. (1996). Experimental evidence for different timing mechanisms underlying temporal discrimination. In S. Masin (Ed.), Fechner Day 96. Twelfth annual meeting of the International Society for Psychophysics (pp. 63–68). Padua, Italy: The International Society for Psychophysics.

  • Rammsayer, T. (1999). Neuropharmacological evidence for different timing mechanism in humans. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 52B, 273–286.

    Google Scholar 

  • Rammsayer, T. (2003). Sensory and cognitive mechanisms in temporal processing elucidated by a model systems approach. In H. Helfrich (Ed.), Time and mind II: Information processing perspectives (pp. 97–113). Göttingen, Germany: Hogrefe & Huber.

  • Rammsayer, T. H., & Lima, S. D. (1991). Duration discrimination of filled and empty auditory intervals: Cognitive and perceptual factors. Perception & Psychophysics, 50, 565–574.

    CAS  Google Scholar 

  • Rammsayer, T., & Ulrich, R. (2001). Counting models of temporal discrimination. Psychomomic Bulletin & Review, 8, 270–277.

    CAS  Google Scholar 

  • Reinitz, M. T. (1990). Effects of spatially directed attention on visual encoding. Perception & Psychophysics, 47, 497–505.

    CAS  Google Scholar 

  • Sanders, A. F. (1998). Elements of human performance: Reaction processes and attention in human skill. Mahwah, NJ: Erlbaum.

  • Sokolov, E. N. (1963). Perception and the conditioned reflex. Oxford: Pergamon.

  • Stelmach, L. B., & Herdman, C. M. (1991). Directed attention and the perception of temporal order. Journal of Experimental Psychology: Human Perception & Performance, 17, 539–550.

    CAS  Google Scholar 

  • Thomas, E. A. C., & Weaver, W. B. (1975). Cognitive processing in time perception. Perception & Psychophysics, 17, 363–367.

    Google Scholar 

  • Treisman, M. (1963). Temporal discrimination and the indifference interval: Implications for a model of the “internal clock.” Psychological Monographs, 77, 1–31.

    Google Scholar 

  • Treisman, M., Faulkner, A., Naish, P. L., & Brogan, D. (1990). The internal clock: Evidence for a temporal oscillator underlying time perception with some estimates of its characteristic frequency. Perception, 19, 705–743.

    CAS  PubMed  Google Scholar 

  • Treisman, M., Faulkner, A., & Naish, P. L. (1992). On the relation between time perception and the timing of motor action: Evidence for a temporal oscillator controlling the timing of movement. Quarterly Journal of Experimental Psychology Human Experimental Psychology, 45a, 235–263.

    Google Scholar 

  • Ulrich, R., & Mattes, S. (1996). Does immediate arousal enhance response force in simple reaction time? The Quarterly Journal of Experimental Psychology, 49A, 972–990.

    Article  Google Scholar 

  • Walker, J. T., & Scott, K. J. (1981). Auditory-visual conflicts in the perceived duration of lights, tones, and gaps. Journal of Experimental Psychology: Human Perception and Performance, 7, 1327–1339.

    Article  CAS  PubMed  Google Scholar 

  • Wearden, J. H. (1991). Human performance as an analogue of an interval bisection task. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 43B, 59–81.

    Google Scholar 

  • Wearden, J. H. (1995). Categorical scaling of stimulus duration by humans. Journal of Experimental Psychology: Animal Behavior Processes, 21, 318–330.

    Article  CAS  PubMed  Google Scholar 

  • Wearden, J. H., Edwards, H., Fakhri, M., & Percival, A. (1998). Why “sounds are judged longer than lights”: Application of a model of the internal clock in humans. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 51B, 97–120.

    Google Scholar 

  • Witherspoon, D., & Allan, L. G. (1985). The effect of a prior presentation on temporal judgments in a perceptual identification task. Memory & Cognition, 13, 101–111.

    CAS  Google Scholar 

  • Zakay, D., & Block, R. A. (1997). Temporal cognition. Current Directions in Psychological Science, 6, 12–16.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the Deutsche Forschungsgemeinschaft (RA 450/9–3; UL 116/6–3). We would like to thank Golde Dieterichs, Annette Mannhart, and Susana Ruiz for experimental assistance and Karin Bausenhart, Simon Grondin, Stefan Mattes, Jochen Müsseler, Bettina Rolke, Hannes Schröter, and an anonymous reviewer for helpful comments.

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Correspondence to Rolf Ulrich.

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Ulrich, R., Nitschke, J. & Rammsayer, T. Perceived duration of expected and unexpected stimuli. Psychological Research 70, 77–87 (2006). https://doi.org/10.1007/s00426-004-0195-4

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