Examining visual complexity and its influence on perceived duration.

We investigated whether visual complexity of novel abstract patterns affects perceived duration. Previous research has reported that complex visual stimuli led to an underestimation of durations. However, to clarify the nature of the time estimation process, it is necessary to establish which component of image complexity, spatial or semantic, plays the critical role. Here we tested the impact of specific spatial properties. We used unfamiliar and abstract patterns made using black-and-white checkerboards in which the difference between stimuli was exclusively in configuration. Visual complexity was quantified by the GIF index based on a compression algorithm, which scanned the pattern in both horizontal and vertical directions. This metric correlated positively with subjective complexity (Experiment 1A). In the second study, we increased variability in the stimuli by changing the number of items across patterns while keeping overall size constant. A high positive correlation was found between objective and subjective complexity (r = 0.95) (Experiment 2A). In Experiments 1B and 2B, observers estimated pattern durations in seconds using a continuous scale. A multilevel linear analysis found that perceived duration was not predicted by visual complexity for either of the two sets of stimuli. These results provide new constraints to theories of time perception, hypothesizing that complexity leads to an underestimation of duration when it reduces attention to time.

[1]  Jonathan W. Peirce,et al.  PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.

[2]  L. L. Cummings,et al.  Perceived Speed of Time and Task Affect , 1986, Perceptual and motor skills.

[3]  N. Cantor,et al.  Control of attention in the processing of temporal and spatial information in complex visual patterns. , 1977, Journal of experimental psychology. Human perception and performance.

[4]  Peter A. van der Helm.  Simplicity in Vision: A Multidisciplinary Account of Perceptual Organization , 2014 .

[5]  Emanuel Leeuwenberg,et al.  Structural information of visual patterns: an efficient coding system in perception , 1967 .

[6]  Scott A. W. Brown.  Time and attention: Review of the literature , 2008 .

[7]  Emanuel Leeuwenberg,et al.  Structural Information Theory: The Simplicity of Visual Form , 2012 .

[8]  A. Angrilli,et al.  The influence of affective factors on time perception , 1997, Perception & psychophysics.

[9]  J. Fisk,et al.  The role of executive functions in human prospective interval timing. , 2011, Acta psychologica.

[10]  Maria Petrou,et al.  Attentional vs computational complexity measures in observing paintings. , 2009, Spatial vision.

[11]  Peter A. van der Helm,et al.  Simplicity versus likelihood in visual perception: from surprisals to precisals. , 2000 .

[12]  Vito Di Gesù,et al.  On the Evaluation of Images Complexity: A Fuzzy Approach , 2005, WILF.

[13]  Martin B. Curry,et al.  Exploring the effects of icon characteristics on user performance: the role of icon concreteness, complexity, and distinctiveness. , 2000, Journal of experimental psychology. Applied.

[14]  J. G. Snodgrass,et al.  A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. , 1980, Journal of experimental psychology. Human learning and memory.

[15]  W. Meck.  Selective adjustment of the speed of internal clock and memory processes. , 1983, Journal of experimental psychology. Animal behavior processes.

[16]  Giacomo Koch,et al.  Relativistic Compression and Expansion of Experiential Time in the Left and Right Space , 2008, PloS one.

[17]  J H Wearden,et al.  Feeling the Heat: Body Temperature and the Rate of Subjective Time, Revisited , 1995, The Quarterly journal of experimental psychology. B, Comparative and physiological psychology.

[18]  Robert Stevens,et al.  Toward a definition of visual complexity as an implicit measure of cognitive load , 2009, TAP.

[19]  Herbert A. Simon,et al.  Complexity and the representation of patterned sequences of symbols. , 1972 .

[20]  J. Gibbon,et al.  Timing and time perception. , 1984, Annals of the New York Academy of Sciences.

[21]  Stefan Treue,et al.  Perceptual complexity, rather than valence or arousal accounts for distracter-induced overproductions of temporal durations. , 2014, Acta psychologica.

[22]  D Rose,et al.  Duration Illusions in a Train of Visual Stimuli , 1995, Perception.

[23]  P. Tse,et al.  Attention and the subjective expansion of time , 2004, Perception & psychophysics.

[24]  Valérie Dormal,et al.  Processing numerosity, length and duration in a three-dimensional Stroop-like task: towards a gradient of processing automaticity? , 2013, Psychological research.

[25]  Sheng He,et al.  Larger stimuli are judged to last longer. , 2007, Journal of vision.

[26]  N Graham,et al.  Lightness differences and the perceived segregation of regions and populations , 1991, Perception & psychophysics.

[27]  Hugo Merchant,et al.  Neural basis of the perception and estimation of time. , 2013, Annual review of neuroscience.

[28]  D. Donderi.  Visual complexity: a review. , 2006, Psychological bulletin.

[29]  Sylvie Droit-Volet,et al.  Alerting attention and time perception in children. , 2003, Journal of experimental child psychology.

[30]  Don C Donderi,et al.  An Information Theory Analysis of Visual Complexity and Dissimilarity , 2006, Perception.

[31]  Vito Di Gesù,et al.  A fuzzy approach to the evaluation of image complexity , 2009, Fuzzy Sets Syst..

[32]  Gerry Mulhern,et al.  Confounds in pictorial sets: The role of complexity and familiarity in basic-level picture processing , 2008, Behavior research methods.

[33]  P. Niedenthal,et al.  BRIEF REPORT Perception of the duration of emotional events , 2004 .

[34]  Noel Sheehy,et al.  Measuring icon complexity: An automated analysis , 2003, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[35]  H. Hogan.  Time perception and stimulus preference as a function of stimulus complexity. , 1975, Journal of personality and social psychology.

[36]  R H Fox,et al.  Time judgment and body temperature. , 1967, Journal of experimental psychology.

[37]  Scott W. Brown.  Timing and executive function: Bidirectional interference between concurrent temporal production and randomization tasks , 2006, Memory & cognition.

[38]  C. Heaps,et al.  Similarity and Features of Natural Textures , 1999 .

[39]  F. Heylighen.  The Growth of Structural and Functional Complexity during Evolution , 1999 .

[40]  S. Droit-Volet,et al.  How liked and disliked foods affect time perception. , 2009, Emotion.

[41]  C. Caltagirone,et al.  Perceiving numbers alters time perception , 2008, Neuroscience Letters.

[42]  Guojun Lu,et al.  Review of shape representation and description techniques , 2004, Pattern Recognit..

[43]  M. D’Esposito.  Working memory. , 2008, Handbook of clinical neurology.

[44]  D. Whitaker,et al.  Perceived time is spatial frequency dependent , 2011, Vision Research.

[45]  Ewart A. C. Thomas,et al.  On the duality of simultaneous time and size perception , 1975 .

[46]  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.

[47]  D. Zakay.  Attention allocation policy influences prospective timing , 1998 .

[48]  S. Droit-Volet,et al.  The time–emotion paradox , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[49]  J H Wearden,et al.  Speeding up an internal clock in humans? Effects of click trains on subjective duration. , 1996, Journal of experimental psychology. Animal behavior processes.

[50]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[51]  Hogan Hw.  Time perception and stimulus preference as a function of stimulus complexity. , 1975 .

[52]  W. Meck.  Functional and neural mechanisms of interval timing , 2003 .

[53]  R M Church,et al.  Scalar Timing in Memory , 1984, Annals of the New York Academy of Sciences.

[54]  S. Droit-Volet,et al.  Emotional time distortions: The fundamental role of arousal , 2012, Cognition & emotion.

[55]  Michael L. Mack,et al.  Identifying the Perceptual Dimensions of Visual Complexity of Scenes , 2004 .

[56]  M. Pesenti,et al.  Numerosity-duration interference: a Stroop experiment. , 2006, Acta psychologica.