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Prospective Judgment of Short-Intervals in a Cohort of University Students

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Abstract

Ability to perceive fast-paced events (a range of short intervals) is one of the important cognitive skills in humans. The underlying mechanism of this ability still remains elusive. We designed a study to investigate the subjective perception of short-intervals (10, 20, 60 and 120 s) in a cohort of healthy young male and female university students. The subjects estimated the time intervals, prospectively using time production (TP) and verbal estimation (VE) methods. Of the four tested intervals, subjects produced 60 s close to accuracy than other intervals. The intervals were overproduced and underestimated with TP and VE, respectively. Males estimated 60 s more accurately than females. In all subjects, verbal estimates of 60 and 120 s were positively correlated with sleep duration. The duration of exposure to direct sunlight was significantly correlated with the verbal estimation of 60 and 120 s intervals in females. It is concluded that humans track passage of short intervals fairly accurately and 60 s might be the interval that is judged more accurately in males. This behavior could be ascribed to the interval timer that might have evolved with frequently used verbal expression, i.e., “wait a minute please!” In addition, the factors, such as gender, sleep duration and length of sunlight exposure might considerably modulate human abilities to sense time.

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References

  1. Verginia M (1996) Setting a biological stopwatch. Science 271:905–906

    Article  Google Scholar 

  2. Harrington DL, Haaland KY, Knight RT (1998) Cortical networks underlying mechanisms of time perception. J Neurosci 18:1085–1095

    Google Scholar 

  3. Pouthas V, Maquet P, Garnero L, Ferrandez AM, Renault B (1999) Neural basis of time estimation: a PET and ERP study. Electroencephalogr Clin Neurophysiol Suppl 50:598–603

    Google Scholar 

  4. Matell MS, Meck WH (2000) Neuropsychological mechanisms of interval timing behavior. Bioessays 22:94–103

    Article  Google Scholar 

  5. Aschoff J (1998) Human perception of short and long time intervals: its correlation with body temperature and the duration of wake time. J Biol Rhythms 3:437–442

    Article  Google Scholar 

  6. Zakay D (1990) The evasive art of subjective time measurement: some methodological dilemmas. In: Block RA (ed) Cognitive models of psychological time. Erlbaum, Hillsdale, pp 59–84

    Google Scholar 

  7. Rammsayer TH (2001) Ageing and temporal processing of durations within the psychological present. Eur J Cogn Psychol 13:549–565

    Google Scholar 

  8. Block RA, Hancock PA, Zakay D (2000) Sex differences in duration judgments: a meta-analytic review. Mem Cognit 28:1333–1346

    Article  Google Scholar 

  9. Pati AK, Gupta S (1994) Time estimation circadian rhythm in shift workers and diurnally active humans. J Biosci 19:325–330

    Article  Google Scholar 

  10. Katsuura T, Yasuda T, Shimomura Y, Iwanaga K (2007) Effects of monochromatic light on time sense for short intervals. J Physiol Anthropol 26:95–100

    Article  Google Scholar 

  11. Morita T, Nishijima T, Tokura H (2005) Time sense for short intervals during the follicular and luteal phases of the menstrual cycle in humans. Physiol Behav 85:93–98

    Article  Google Scholar 

  12. Morita T, Fukui T, Morofusi M, Tokura H (2007) Subjective time runs faster under the influence of bright rather than dim light conditions during the forenoon. Physiol Behav 91:42–45

    Article  Google Scholar 

  13. Klein LC, Corwin EJ, Stine MM (2003) Smoking abstinence impairs time estimation accuracy in cigarette smokers. Psychopharmacol Bull 37:90–95

    Google Scholar 

  14. Kuriyama K, Uchiyama M, Suzuki H, Tagaya H, Ozaki A, Aritake S, Kamei Y, Nishikawa T, Takahashi K (2003) Circadian fluctuation of time perception in healthy human subjects. Neurosci Res 46:23–31

    Article  Google Scholar 

  15. Pande B, Rathod G, Vaidya N, Nag C, Parganiha A, Pati AK (2011) Non-auditory effect of community noise on interval timing in humans: an exploration. Biol Rhythm Res 43:585–601

    Google Scholar 

  16. Espinosa-Fernández L, Miró E, Cano MC, Buela-Casal G (2003) Age-related changes and gender differences in time estimation. Acta Psychol 112:221–232

    Article  Google Scholar 

  17. Kuriyama K, Uchiyama M, Suzuki H, Tagaya H, Ozaki A, Aritake S, Shibui K, Xin T, Lan L, Kamei Y, Takahashi K (2005) Diurnal fluctuation of time perception under 30-h sustained wakefulness. Neurosci Res 53:123–128

    Article  Google Scholar 

  18. Kleitman N (1939) Sleep and wakefulness. University of Chicago, Chicago

    Google Scholar 

  19. Valdez P, Reilly T, Waterhouse J (2008) Rhythms of mental performance. Mind Brain Educ 2:7–16

    Article  Google Scholar 

  20. Horne JA, Östberg O (1976) A self-assessment questionnaire to determine morningness–eveningness in human circadian rhythms. Int J Chronobiol 4:97–110

    Google Scholar 

  21. Roenneberg T, Wirz-Justice A, Merrow M (2003) Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythms 18:80–90

    Article  Google Scholar 

  22. Hoddes E, Zarcone V, Smythe H, Philips R, Dement WCI (1973) Quantification of sleepiness: a new approach. Psychophysiol 10:431–436

    Article  Google Scholar 

  23. Pande B, Pati AK (2010) Overestimation/underestimation of time: concept confusion hoodwink conclusion. Biol Rhythm Res 41:379–390

    Article  Google Scholar 

  24. Morofushi M, Shinohara K, Kimura F (2001) Menstrual and circadian variations in time perception in healthy women and women with premenstrual syndrome. Neurosci Res 41:339–344

    Article  Google Scholar 

  25. Sayette MA, Loewenstein G, Kirchner TR, Travis T (2005) Effects of smoking urge on temporal cognition. Psychol Addict Behav 19:88–93

    Article  Google Scholar 

  26. Perbal S, Droit-Volet S, Isingrini M, Pouthas V (2002) Relationships between age-related changes in time estimation and age-related changes in processing speed, attention, and memory. Aging Neuropsychol Cogn 9:201–216

    Article  Google Scholar 

  27. Rakitin BC, Gibbon J, Penney TB, Malapani C, Hinton SC, Meck WH (1998) Scalar expectancy theory and peak-interval timing in humans. J Exp Psychol Anim Behav Process 24:15–33

    Article  Google Scholar 

  28. Wright K (2002) Times of our lives. Sci Am 287:59–65

    Article  Google Scholar 

  29. Blatter K, Cajochen C (2007) Circadian rhythms in cognitive performance: methodological constraints, protocols, theoretical underpinnings. Physiol Behav 90:196–208

    Article  Google Scholar 

  30. Block RA, Zakay D, Hancock PA (1998) Human aging and duration judgments: a meta-analytic review. Psychol Aging 13:584–596

    Article  Google Scholar 

  31. Pouthas V (1999) Le temps de la conscience, la conscience du temps. J Soc Biol 193:411–420

    Google Scholar 

  32. Wearden JH, Edwards H, Fakhri M, Percival A (1998) Why “sounds are judged longer than lights”: application of a model of the internal clock in humans. Q J Exp Psychol 51B:97–120

    Google Scholar 

  33. Droit-Volet S, Tourret S, Wearden J (2004) Perception of the duration of auditory and visual stimuli in children and adults. Q J Exp Psychol 57A:797–818

    Google Scholar 

  34. Goldstone S, Lhamon WT (1972) Auditory-visual differences in human temporal judgment. Percept Mot Skills 34:623–633

    Article  Google Scholar 

  35. Goldstone S, Lhamon WT (1974) Studies of auditory–visual differences in human timing judgment: 1. Sounds are judged longer than lights. Percept Mot Skills 39:63–82

    Article  Google Scholar 

  36. Penney T, Allan L, Meck W, Gibbon J (1998) Memory mixing in duration bisection. In: Rosenbaum DA, Collyer CE (eds) Timing of behavior: neural, computational and psychophysical perspectives. MIT Press, Cambridge, pp 165–193

    Google Scholar 

  37. Penney TB, Gibbon J, Meck W (2000) Differential effects of auditory and visual signals on clock speed and temporal memory. J Exp Psychol Hum Percept Perform 26:1770–1787

    Article  Google Scholar 

  38. Rammsayer T, Lustnauer S (1989) Sex differences in time perception. Percept Mot Skills 68:195–198

    Article  Google Scholar 

  39. Eisler H, Eisler A (1992) Time perception: effects of sex and sound intensity on scales of subjective durations. Scand J Psychol 33:339–358

    Article  Google Scholar 

  40. Hancock PA, Vercruyssen M, Rodenburg GJ (1992) The effect of gender and time-of-day on time perception and mental workload. Curr Psychol Res Rev 11:203–225

    Article  Google Scholar 

  41. Roeckelein JE (1972) Sex differences in time estimation. Percept Mot Skills 35:859–862

    Article  Google Scholar 

  42. Marmaras N, Vassilakis P, Dounias G (1995) Factors affecting accuracy of producing time intervals. Percept Mot Skills 80:1043–1056

    Article  Google Scholar 

  43. Adkins CJ (1972) Verbal estimations of time at four spatial distances. Percept Mot Skills 35:411–418

    Article  Google Scholar 

  44. Hornstein AD, Rotter GS (1969) Research methodology in temporal perception. Q J Exp Psychol 79:561–564

    Article  Google Scholar 

  45. Rammsayer TH (1998) Temporal information processing in male and female subjects. Stud Psychol 40:149–164

    Google Scholar 

  46. Hancock PA (1999) Gaia and Chronos: sex difference in the fourth cognitive dimensions. Hum Factors Res Lab, University of Minnesota, Minneapolis, Tech Rep No. 99-01

  47. Craik FIM, Hay J (1999) Aging and judgments of duration: effects of task complexity and method of estimation. Percept Pscychophys 61:549–560

    Article  Google Scholar 

  48. Aschoff J (1985) On the perception of time during prolonged temporal isolation. Hum Neurobiol 4:41–52

    Google Scholar 

  49. Aschoff J, Dann S (1997) Human time perception in temporal isolation: effects of illumination intensity. Chronobiol Int 4:585–596

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the University Grants Commission, New Delhi, through its DRS-SAP Scheme sanctioned to the School of Life Sciences, Pt. Ravishankar Shukla University, Raipur, in the thrust area, Chronobiology and the Department of Science and Technology (DST), New Delhi, through the sanction of a Major Research Project under the scheme Cognitive Science Research Initiative (CSI). Authors thank Council of Scientific and Industrial Research (CSIR) for awarding Senior Research Fellowship.

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Correspondence to Atanu Kumar Pati.

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Pati, A.K., Pande, B. Prospective Judgment of Short-Intervals in a Cohort of University Students. Natl. Acad. Sci. Lett. 36, 191–199 (2013). https://doi.org/10.1007/s40009-013-0118-2

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  • DOI: https://doi.org/10.1007/s40009-013-0118-2

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