Abstract
We investigated attentional demands in visual rhythm perception of periodically moving stimuli using a visual search paradigm. A dynamic search display consisted of vertically “bouncing dots” with regular rhythms. The search target was defined by a unique visual rhythm (i.e., a shorter or longer period) among rhythmic distractors with identical periods. We found that search efficiency for a faster or a slower periodically moving target decreased as the number of distractors increased, although searching for a faster target was about one second faster than searching for a slower target. We conclude that perception of a visual rhythm defined by a unique period is not a “pop-out” process, but a serial one that demands considerable attention.
References
Bahrick LE, Lickliter R (2004) Infant’s perception of rhythm and tempo in unimodal and multimodal stimulation: a develop- mental test of the intersensory redundancy hypothesis. Cogn Affect Behav Neurosci 4:137–147
Bao Y, Pöppel E (2007) Two spatially separated attention systems in the visual field: evidence from inhibition of return. Cogn Process 8:37–44
Bao Y, Wang Z, Liang W, Wang Y, Pöppel E, Li H (2013) Inhibition of return at different eccentricities in the visual field share the same temporal window. Neurosci Lett 534:7–11
Braddick OJ, Holliday IE (1991) Serial search for targets defined by divergence or deformation of optic flow. Perception 20:345–354
Brainard DH (1997) The Psychophysics Toolbox. Spatial Vis 10:433–436
Brandon M, Saffran JR (2011) Apparent motion enhances visual rhythm discrimination in infancy. Atten Percept Psychophys 73:1016–1020
Cavanagh P, Arguin M, Treisman A (1990) Effect of surface medium on visual search for orientation and size features. J Exp Psychol Hum Percept Perform 16:479–491
Dick M, Ullman S, Sagi D (1987) Parallel and serial processes in motion detection. Science 237:400–402
Feldmann H (1955) Das Wesen des Rhythmus im Experiment an Gehörlosen und Normalsinnigen. Archiv für Psychiatrie und Zeitschrift für Neurologie 194:36–61
Franek M, Mates J, Radil T, Beck K, Pöppel E (1991) Sensorimotor synchronization: motor responses to regular auditory patterns. Percept Psychophys 49:509–516
Fröhlich FW (1920) Über die Physiologie des Zeitsinns. Zeitschrift für Sinnesphysiologie 51:153–158
Grahn JA (2012) See what I hear? Beat perception in auditory and visual rhythms. Exp Brain Res 220:51–61
Ivry R, Cohen A (1992) Asymmetry in visual search for targets defined by differences in movement speed. J Exp Psychol Hum Percept Perform 18:1045–1057
Jones MR, Moynihan H, MacKenzie N, Puente J (2002) Temporal aspects of stimulus-driven attending in dynamic arrays. Psychol Sci 13:313–319
Kolers PA, Brewster JM (1985) Rhythms and responses. J Exp Psychol Hum Percept Perform 11:150–167
Kosonen K, Raisamo R (2006) Rhythm perception through different modalities. Proc Eurohaptics 2006:365–369
Large EW, Jones MR (1999) The dynamics of attending: how people track time-varying events. Psychol Rev 106:119–159
Mates J, Müller U, Radil T, Pöppel E (1994) Temporal integration in sensorimotor synchronization. J Cogn Neurosci 6:332–340
MATLAB (2009a) The mathworks, Inc., Natick, Massachusetts, US
McLeod P, Driver J, Crisp J (1988) Visual search for a conjunction of movement and form is parallel. Nature 332:154–155
Nothdurft HC (1993) Faces and facial expressions do not pop out. Perception 22:1287–1298
Pashler H (1987) Detecting conjunctions of color and form: reassessing the serial search hypothesis. Percept Psychophys 41:191–201
Patel AD, Iversen JR, Chen Y, Repp BH (2005) The influence of metricality and modality on synchronization with a beat. Exp Brain Res 163:226–238
Pöppel E (1989) The measurement of music and the cerebral clock: a new theory. Leonardo 22:83–89
Pöppel E (2009) Pre-semantically defined temporal windows for cognitive processing. Philos Trans R Soc B 363:1887–1896
Repp BH, Penel A (2002) Auditory dominance in temporal processing: new evidence from synchronization with simultaneous visual and auditory sequences. J Exp Psychol Hum 28:1085
Rosenholtz R (1999) A simple saliency model predicts a number of motion popout phenomena. Vis Res 39:3157–3163
Rubia K, Schuri U, von Cramon DY, Pöppel E (1997) Time estimation as a neuronal network property: a lesion study. NeuroReport 8:1273–1276
Su Y, Pöppel E (2012) Body movement enhances the extraction of temporal structures in auditory sequences. Psychol Res 76:373–382
Tong F, Nakayama K (1999) Robust representations for faces: evidence from visual search. J Exp Psychol Hum Percept Perform 25:1016–1035
Treisman A, Gelade G (1980) A feature-integration theory of attention. Cogn Psychol 12:97–136
Treisman A, Gormican S (1988) Feature analysis in early vision: evidence from search asymmetries. Psychol Rev 95:15–48
Treisman A, Souther J (1985) Search asymmetry: a diagnostic for preattentive processing of separable features. J Exp Psychol Gen 114:285–310
Turner F, Pöppel E (1988) Metered poetry, the brain, and time. In: Rentschler I, Herzberger B, Epstein D (eds) Beauty and the brain: biological aspects of aesthetics. Birkhäuser Verlag, Basel, pp 71–90
van Zoest W, Giesbrecht B, Enns JT, Kingstone A (2006) New reflections on visual search: interitem symmetry matters! Psychol Sci 17:535–542
Winkler I, Háden GP, Ladinig O, Sziller I, Honing H (2009) Newborn infants detect the beat in music. PNAS 106:2468–2471
Wolfe JM (1998) Visual search. In: Pashler H (ed) Attention. University College London Press, London, UK, pp 13–73
Wolfe JM, DiMase JS (2003) Do intersections serve as basic features in visual search? Perception 32:645–656
Wolfe JM, Horowitz TS (2004) What attributes guide the deployment of visual attention and how do they do it? Nat Rev Neurosci 5:495–501
Wolfe JM, Cave KR, Franzel SL (1989) Guided search: an alternative to the feature integration model for visual search. J Exp Psychol Hum Percept Perform 15:419–433
Wolfe JM, Klempen NL, Shulman EP (1999) Which end is up? Two representations of orientation in visual search. Vis Res 39:2075–2086
Wolfe JM, Vo ML, Evans KK, Greene MR (2011) Visual search in scenes involves selective and nonselective pathways. Trends Cogn Sci 15:77–84
Acknowledgments
This research was supported by the grants from China Scholarship Council and LMU to Hui Li, the National Natural Science Foundation of China (No. 91120004 and 31371018) to Yan Bao, the Parmenides Foundation to Yan Bao and Ernst Pöppel, and the Bavarian Research Foundation to Yi-Huang Su.
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Li, H., Bao, Y., Pöppel, E. et al. A unique visual rhythm does not pop out. Cogn Process 15, 93–97 (2014). https://doi.org/10.1007/s10339-013-0581-1
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DOI: https://doi.org/10.1007/s10339-013-0581-1