An integrated theory of prospective time interval estimation: the role of cognition, attention, and learning.

A theory of prospective time perception is introduced and incorporated as a module in an integrated theory of cognition, thereby extending existing theories and allowing predictions about attention and learning. First, a time perception module is established by fitting existing datasets (interval estimation and bisection and impact of secondary tasks on attention). The authors subsequently used the module as a part of the adaptive control of thought--rational (ACT-R) architecture to model a new experiment that combines attention, learning, dual tasking, and time perception. Finally, the model predicts time estimation, learning, and attention in a new experiment. The model predictions and fits demonstrate that the proposed integrated theory of prospective time interval estimation explains detailed effects of attention and learning during time interval estimation.

[1]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[2]  Christian Lebiere,et al.  Implicit and explicit learning in ACT-R , 1998 .

[3]  J. Staddon,et al.  Timescale invariance and Weber's law in choice. , 2006, Journal of experimental psychology. Animal behavior processes.

[4]  J. Staddon,et al.  Interval timing , 2006, Nature Reviews Neuroscience.

[5]  H Pashler,et al.  How persuasive is a good fit? A comment on theory testing. , 2000, Psychological review.

[6]  H. Pashler.  Dual-task interference in simple tasks: data and theory. , 1994, Psychological bulletin.

[7]  Dan Zakay,et al.  The evasive art of subjective time measurement: Some methodological dilemmas. , 1990 .

[8]  Ewart A. C. Thomas,et al.  Cognitive processing and time perception , 1975 .

[9]  Scott W. Brown.  Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks , 1997, Perception & psychophysics.

[10]  J. Gibbon,et al.  Differential effects of auditory and visual signals on clock speed and temporal memory. , 2000, Journal of experimental psychology. Human perception and performance.

[11]  J. Gibbon,et al.  Scalar expectancy theory and peak-interval timing in humans. , 1998, Journal of experimental psychology. Animal behavior processes.

[12]  John A. Michon,et al.  Introduction: The Psychology of Time , 1985 .

[13]  D A Rosenbaum,et al.  Timing and reaction time. , 2001, Journal of experimental psychology. General.

[14]  J. Staddon,et al.  Time and memory: towards a pacemaker-free theory of interval timing. , 1999, Journal of the experimental analysis of behavior.

[15]  Niels Taatgen,et al.  Proceedings of the Seventh International Conference on Cognitive Modeling , 2006 .

[16]  C. L. Giles,et al.  Sequence Learning - Paradigms, Algorithms, and Applications , 2001 .

[17]  Dan Zakay,et al.  Chapter 10 Subjective Time and Attentional Resource Allocation: An Integrated Model of Time Estimation , 1989 .

[18]  W. Meck,et al.  Neuropsychological mechanisms of interval timing behavior. , 2000, BioEssays : news and reviews in molecular, cellular and developmental biology.

[19]  Christian Lebiere,et al.  Proceedings of the Second European Conference on Cognitive Modelling , 1998 .

[20]  Sunil J Rao,et al.  Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis , 2003 .

[21]  Frank J. Lee,et al.  Deciding when to switch tasks in time-critical multitasking , 2005, Cognitive Systems Research.

[22]  H. Lejeune.  Switching or gating? The attentional challenge in cognitive models of psychological time , 1998, Behavioural Processes.

[23]  D. Zakay.  Time Estimation Methods—Do They Influence Prospective Duration Estimates? , 1993, Perception.

[24]  Helga Lejeune,et al.  Prospective timing, attention and the switch A response to ‘Gating or switching? gating is a better model of prospective timing’ by Zakay , 2000, Behavioural Processes.

[25]  Christian Lebiere,et al.  Sequence Learning in the ACT-R Cognitive Architecture: Empirical Analysis of a Hybrid Model , 2001, Sequence Learning.

[26]  G. Logan.  Toward an instance theory of automatization. , 1988 .

[27]  R. Block,et al.  Prospective and retrospective duration judgments: an executive-control perspective. , 2004, Acta neurobiologiae experimentalis.

[28]  Claudette Fortin,et al.  Timing during interruptions in timing. , 2005, Journal of experimental psychology. Human perception and performance.

[29]  J. Gibbon.  Scalar expectancy theory and Weber's law in animal timing. , 1977 .

[30]  John A. Michon,et al.  Time, Mind, and Behavior , 1985, Springer Berlin Heidelberg.

[31]  Richard A. Block,et al.  Cognitive models of psychological time , 1992 .

[32]  R. Block,et al.  Prospective and retrospective duration judgments: A meta-analytic review , 1997, Psychonomic bulletin & review.

[33]  Dan Zakay,et al.  Gating or switching? Gating is a better model of prospective timing (a response to ‘switching or gating?’ by Lejeune) 1 Originally published in Vol. 50, issue 1, pages 1–17; PII of the original publication: S0376-6357(00)00086-3. 1 , 2000, Behavioural Processes.

[34]  J. Staddon.  Interval timing: memory, not a clock , 2005, Trends in Cognitive Sciences.

[35]  R. E. Hicks,et al.  Prospective and retrospective judgments of time as a function of amount of information processed. , 1976, The American journal of psychology.

[36]  R. Dekeyser.  Implicit and Explicit Learning , 2008 .

[37]  B. Rakitin,et al.  The effects of spatial stimulus-response compatibility on choice time production accuracy and variability. , 2005, Journal of experimental psychology. Human perception and performance.

[38]  John R. Anderson,et al.  Learning to achieve perfect timesharing: architectural implications of Hazeltine, Teague, and Ivry (2002). , 2005, Journal of experimental psychology. Human perception and performance.

[39]  S. Bhatia.  Conditioned Reflexes , 1938, The Indian medical gazette.

[40]  Catalin V Buhusi,et al.  Interval timing with gaps and distracters: evaluation of the ambiguity, switch, and time-sharing hypotheses. , 2006, Journal of experimental psychology. Animal behavior processes.

[41]  Niels Taatgen,et al.  Learning when to switch tasks in a dynamic multitasking environment , 2006 .