Eye Movements, Visual Search and Scene Memory, in an Immersive Virtual Environment

Visual memory has been demonstrated to play a role in both visual search and attentional prioritization in natural scenes. However, it has been studied predominantly in experimental paradigms using multiple two-dimensional images. Natural experience, however, entails prolonged immersion in a limited number of three-dimensional environments. The goal of the present experiment was to recreate circumstances comparable to natural visual experience in order to evaluate the role of scene memory in guiding eye movements in a natural environment. Subjects performed a continuous visual-search task within an immersive virtual-reality environment over three days. We found that, similar to two-dimensional contexts, viewers rapidly learn the location of objects in the environment over time, and use spatial memory to guide search. Incidental fixations did not provide obvious benefit to subsequent search, suggesting that semantic contextual cues may often be just as efficient, or that many incidentally fixated items are not held in memory in the absence of a specific task. On the third day of the experience in the environment, previous search items changed in color. These items were fixated upon with increased probability relative to control objects, suggesting that memory-guided prioritization (or Surprise) may be a robust mechanisms for attracting gaze to novel features of natural environments, in addition to task factors and simple spatial saliency.

[1]  David Melcher,et al.  Accumulation and persistence of memory for natural scenes. , 2006, Journal of vision.

[2]  P. Berkes,et al.  Statistically Optimal Perception and Learning: from Behavior to Neural Representations , 2022 .

[3]  R. Rosenholtz A simple saliency model predicts a number of motion popout phenomena , 1999, Vision Research.

[4]  Tim K Marks,et al.  SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.

[5]  Miguel P. Eckstein,et al.  Gaze control and memory for objects while walking in a real world environment , 2009 .

[6]  Alexander C. Schütz,et al.  Eye movements and perception: a selective review. , 2011, Journal of vision.

[7]  A. Hollingworth Failures of retrieval and comparison constrain change detection in natural scenes. , 2003, Journal of experimental psychology. Human perception and performance.

[8]  Adriane E. Seiffert,et al.  Self-motion impairs multiple-object tracking , 2010, Cognition.

[9]  A. Oliva,et al.  Person, place, and past influence eye movements during visual search , 2010 .

[10]  Melina A. Kunar,et al.  The role of memory and restricted context in repeated visual search , 2008, Perception & psychophysics.

[11]  Rajesh P. N. Rao,et al.  Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. , 1999 .

[12]  Benjamin W Tatler,et al.  The influence of instructions on object memory in a real-world setting. , 2013, Journal of vision.

[13]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[14]  G. Horstmann Attentional capture by an unannounced color singleton depends on expectation discrepancy. , 2005, Journal of experimental psychology. Human perception and performance.

[15]  Andrew Hollingworth,et al.  Journal of Experimental Psychology : Human Perception and Performance The Nesting of Search Contexts Within Natural Scenes : Evidence From Contextual Cuing , 2010 .

[16]  D. Ballard,et al.  Eye guidance in natural vision: reinterpreting salience. , 2011, Journal of vision.

[17]  Andrew Hollingworth,et al.  Sustained change blindness to incremental scene rotation: A dissociation between explicit change detection and visual memory , 2004, Perception & psychophysics.

[18]  J. Henderson,et al.  Object appearance, disappearance, and attention prioritization in real-world scenes , 2005, Psychonomic bulletin & review.

[19]  Björn Ommer,et al.  Video parsing for abnormality detection , 2011, 2011 International Conference on Computer Vision.

[20]  A. Baddeley,et al.  Attention : selection, awareness, and control : a tribute to Donald Broadbent , 1996 .

[21]  G. Underwood,et al.  Low-level visual saliency does not predict change detection in natural scenes. , 2007, Journal of vision.

[22]  David H Brainard,et al.  Surface color perception and equivalent illumination models. , 2011, Journal of vision.

[23]  J. Wolfe Inattentional Amnesia , 2000 .

[24]  Miguel P Eckstein,et al.  Object co-occurrence serves as a contextual cue to guide and facilitate visual search in a natural viewing environment. , 2011, Journal of vision.

[25]  Jeff B. Pelz,et al.  Head movement estimation for wearable eye tracker , 2004, ETRA.

[26]  A. Hollingworth Task specificity and the influence of memory on visual search: comment on Võ and Wolfe (2012). , 2012, Journal of experimental psychology. Human perception and performance.

[27]  J. Wolfe,et al.  The interplay of episodic and semantic memory in guiding repeated search in scenes , 2013, Cognition.

[28]  A. Nobre,et al.  Orienting Attention Based on Long-Term Memory Experience , 2006, Neuron.

[29]  Pierre Baldi,et al.  Bayesian surprise attracts human attention , 2005, Vision Research.

[30]  James E. Black,et al.  A novel method for video tracking performance evaluation , 2003 .

[31]  Mary Hegarty,et al.  Spatial Memory of Real Environments, Virtual Environments, and Maps , 2004 .

[32]  Gernot Horstmann,et al.  Evidence for Attentional Capture by a Surprising Color Singleton in Visual Search , 2002, Psychological science.

[33]  D. Simons Change blindness and visual memory , 2000 .

[34]  J. Wolfe,et al.  When does repeated search in scenes involve memory? Looking at versus looking for objects in scenes. , 2012, Journal of experimental psychology. Human perception and performance.

[35]  George A. Alvarez,et al.  Remembering thousands of objects with high fidelity , 2010 .

[36]  Mark W. Becker,et al.  Guidance of attention to objects and locations by long-term memory of natural scenes. , 2008, Journal of experimental psychology. Learning, memory, and cognition.

[37]  Ehud Rivlin,et al.  Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  Antonio Torralba,et al.  Modeling global scene factors in attention. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[39]  Eli Brenner,et al.  Reliable Identification by Color under Natural Conditions the Locations Baseline Measurement , 2022 .

[40]  John K. Tsotsos,et al.  Saliency, attention, and visual search: an information theoretic approach. , 2009, Journal of vision.

[41]  María Ruz,et al.  Inattentional Amnesia to Words in a High Attentional Load Task , 2005, Journal of Cognitive Neuroscience.

[42]  Edward K. Vogel,et al.  The capacity of visual working memory for features and conjunctions , 1997, Nature.

[43]  D. E. Irwin,et al.  Integration and accumulation of information across saccadic eye movements. , 1996 .

[44]  Mary Hayhoe,et al.  Control of attention and gaze in complex environments. , 2006, Journal of vision.

[45]  J. Henderson,et al.  Accurate visual memory for previously attended objects in natural scenes , 2002 .

[46]  W. Geisler Visual perception and the statistical properties of natural scenes. , 2008, Annual review of psychology.

[47]  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.

[48]  Stefanie I. Becker,et al.  Novelty and saliency in attentional capture by unannounced motion singletons. , 2011, Acta psychologica.

[49]  A. Hollingworth Visual memory for natural scenes: Evidence from change detection and visual search , 2006 .

[50]  Ruth Rosenholtz,et al.  A computational form of the statistical saliency model for visual search , 2005 .

[51]  J. Henderson,et al.  Initial scene representations facilitate eye movement guidance in visual search. , 2007, Journal of experimental psychology. Human perception and performance.

[52]  Robin G. Morris,et al.  Neurocognitive Components of Spatial Memory , 2004 .

[53]  Ronald A. Rensink The Dynamic Representation of Scenes , 2000 .

[54]  Amos Storkey,et al.  Advances in Neural Information Processing Systems 20 , 2007 .

[55]  Rajesh P. N. Rao,et al.  Eye movements in iconic visual search , 2002, Vision Research.

[56]  Dana H. Ballard,et al.  Novelty detection using growing neural gas for visuo-spatial memory , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[57]  J. Henderson,et al.  Overt attentional prioritization of new objects and feature changes during real-world scene viewing , 2009 .

[58]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[59]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[60]  Joseph L. Mundy,et al.  Change Detection , 2014, Computer Vision, A Reference Guide.

[61]  Ronald A. Rensink,et al.  Change blindness: past, present, and future , 2005, Trends in Cognitive Sciences.

[62]  Eileen Kowler,et al.  Visual scene memory and the guidance of saccadic eye movements , 2001, Vision Research.

[63]  J. Henderson,et al.  Prioritizing new objects for eye fixation in real-world scenes: Effects of object–scene consistency , 2008 .

[64]  J. Henderson,et al.  Prioritization of new objects in real-world scenes: evidence from eye movements. , 2005, Journal of experimental psychology. Human perception and performance.

[65]  Mary Hayhoe,et al.  Visual Cognition , 2021, Encyclopedia of Evolutionary Psychological Science.

[66]  Mary M Hayhoe,et al.  Task and context determine where you look. , 2016, Journal of vision.

[67]  Carrick C. Williams,et al.  To see and remember: Visually specific information is retained in memory from previously attended objects in natural scenes , 2001, Psychonomic bulletin & review.