Zapping 500 faces in less than 100 seconds: Evidence for extremely fast and sustained continuous visual search

A number of studies have shown human subjects’ impressive ability to detect faces in individual images, with saccade reaction times starting as fast as 100 ms after stimulus onset. Here, we report evidence that humans can rapidly and continuously saccade towards single faces embedded in different scenes at rates approaching 6 faces/scenes each second (including blinks and eye movement times). These observations are impressive, given that humans usually make no more than 2 to 5 saccades per second when searching a single scene with eye movements. Surprisingly, attempts to hide the faces by blending them into a large background scene had little effect on targeting rates, saccade reaction times, or targeting accuracy. Upright faces were found more quickly and more accurately than inverted faces; both with and without a cluttered background scene, and over a large range of eccentricities (4°–16°). The fastest subject in our study made continuous saccades to 500 small 3° upright faces at 4° eccentricities in only 96 seconds. The maximum face targeting rate ever achieved by any subject during any sequence of 7 faces during Experiment 3 for the no scene and upright face condition was 6.5 faces targeted/second. Our data provide evidence that the human visual system includes an ultra-rapid and continuous object localization system for upright faces. Furthermore, these observations indicate that continuous paradigms such as the one we have used can push humans to make remarkably fast reaction times that impose strong constraints and challenges on models of how, where, and when visual processing occurs in the human brain.

[1]  K. Nakayama,et al.  The effect of face inversion on the human fusiform face area , 1998, Cognition.

[2]  Brad Wyble,et al.  Picture detection in rapid serial visual presentation: features or identity? , 2010, Journal of experimental psychology. Human perception and performance.

[3]  Antonio Torralba,et al.  Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. , 2006, Psychological review.

[4]  A. A. Skavenski,et al.  Miniature eye movement. , 1973, Science.

[5]  B. Fischer,et al.  Saccadic eye movements after extremely short reaction times in the monkey , 1983, Brain Research.

[6]  Eileen Kowler,et al.  Timing of saccadic eye movements during visual search for multiple targets. , 2013, Journal of vision.

[7]  D. Robinson,et al.  Saccadic undershoot is not inevitable: Saccades can be accurate , 1986, Vision Research.

[8]  Masaaki Kawahashi,et al.  Renovation of Journal of Visualization , 2010, J. Vis..

[9]  Christof Koch,et al.  Predicting human gaze using low-level saliency combined with face detection , 2007, NIPS.

[10]  Ashley M. Sherman,et al.  Visual search for arbitrary objects in real scenes , 2011, Attention, perception & psychophysics.

[11]  Ralf Engbert,et al.  Microsaccades are triggered by low retinal image slip. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[12]  F. Wilcoxon Individual Comparisons by Ranking Methods , 1945 .

[13]  Simon J. Thorpe,et al.  Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited , 2006, Vision Research.

[14]  Sébastien M. Crouzet,et al.  Fast saccades toward faces: face detection in just 100 ms. , 2010, Journal of vision.

[15]  Reinhold Kliegl,et al.  SWIFT: a dynamical model of saccade generation during reading. , 2005, Psychological review.

[16]  Hong-Jin Sun,et al.  Modulation of microsaccade rate by task difficulty revealed through between- and within-trial comparisons. , 2015, Journal of vision.

[17]  John K. Tsotsos,et al.  Towards the Quantitative Evaluation of Visual Attention Models Bottom−up Top-down Dynamic Static 0 0 0 , 2022 .

[18]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[19]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[20]  P. Reuter-Lorenz,et al.  Effects of warning signals and fixation point offsets on the latencies of pro- versus antisaccades: implications for an interpretation of the gap effect , 2004, Experimental Brain Research.

[21]  Jeremy M. Wolfe,et al.  The Rules of Guidance in Visual Search , 2012, PerMIn.

[22]  N. Kanwisher,et al.  The Neural Basis of the Behavioral Face-Inversion Effect , 2005, Current Biology.

[23]  Arnaud Delorme,et al.  Face identification using one spike per neuron: resistance to image degradations , 2001, Neural Networks.

[24]  Jeremy M. Wolfe,et al.  Guided Search 4.0: Current Progress With a Model of Visual Search , 2007, Integrated Models of Cognitive Systems.

[25]  N. Kanwisher,et al.  The fusiform face area: a cortical region specialized for the perception of faces , 2006, Philosophical Transactions of the Royal Society B: Biological Sciences.

[26]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[27]  D. Crabb,et al.  Using Eye Tracking to Assess Reading Performance in Patients with Glaucoma: A Within-Person Study , 2014, Journal of ophthalmology.

[28]  B. Rosner Percentage Points for a Generalized ESD Many-Outlier Procedure , 1983 .

[29]  Leslie G. Ungerleider,et al.  The Effect of Face Inversion on Activity in Human Neural Systems for Face and Object Perception , 1999, Neuron.

[30]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[31]  Nao Ninomiya,et al.  The 10th anniversary of journal of visualization , 2007, J. Vis..

[32]  C. Koch,et al.  Evidence for two distinct mechanisms directing gaze in natural scenes. , 2012, Journal of vision.

[33]  Xun He,et al.  A consumer-grade LCD monitor for precise visual stimulation , 2018, Behavior research methods.

[34]  Denis Fize,et al.  Speed of processing in the human visual system , 1996, Nature.

[35]  R. Walker,et al.  A model of saccade generation based on parallel processing and competitive inhibition , 1999, Behavioral and Brain Sciences.

[36]  K. Rayner Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[37]  Robert M. McPeek,et al.  What neural pathways mediate express saccades? , 1993, Behavioral and Brain Sciences.

[38]  Arnaud Delorme,et al.  Spike-based strategies for rapid processing , 2001, Neural Networks.

[39]  Jacob G. Martin,et al.  The time-course of face-selective ERP activation during ultra-rapid saccades , 2014 .

[40]  An-Shik Yang,et al.  Investigation of piezoelectrically generated synthetic jet flow , 2009, J. Vis..