Micro-Valences: Perceiving Affective Valence in Everyday Objects

Perceiving the affective valence of objects influences how we think about and react to the world around us. Conversely, the speed and quality with which we visually recognize objects in a visual scene can vary dramatically depending on that scene’s affective content. Although typical visual scenes contain mostly “everyday” objects, the affect perception in visual objects has been studied using somewhat atypical stimuli with strong affective valences (e.g., guns or roses). Here we explore whether affective valence must be strong or overt to exert an effect on our visual perception. We conclude that everyday objects carry subtle affective valences – “micro-valences” – which are intrinsic to their perceptual representation.

[1]  M. Bradley,et al.  Emotional arousal and activation of the visual cortex: an fMRI analysis. , 1998, Psychophysiology.

[2]  Ian Krajbich,et al.  Visual fixations and the computation and comparison of value in simple choice , 2010, Nature Neuroscience.

[3]  Colin Camerer,et al.  A framework for studying the neurobiology of value-based decision making , 2008, Nature Reviews Neuroscience.

[4]  R. Zajonc,et al.  Affective and Cognitive Factors in Preferences , 1982 .

[5]  A. Greenwald,et al.  Measuring individual differences in implicit cognition: the implicit association test. , 1998, Journal of personality and social psychology.

[6]  Pedro Avero,et al.  Affective Priming with Pictures of Emotional Scenes: The Role of Perceptual Similarity and Category Relatedness , 2006, The Spanish Journal of Psychology.

[7]  N. Daw,et al.  A closer look at choice , 2010, Nature Neuroscience.

[8]  L. F. Barrett Valence is a basic building block of emotional life , 2006 .

[9]  Karen B. Schloss,et al.  An ecological valence theory of human color preference , 2010, Proceedings of the National Academy of Sciences.

[10]  S. Chaiken,et al.  The generality of the automatic attitude activation effect. , 1992, Journal of personality and social psychology.

[11]  Leslie G. Ungerleider Two cortical visual systems , 1982 .

[12]  M. G. Calvo,et al.  Affective priming of emotional pictures in parafoveal vision: Left visual field advantage , 2008, Cognitive, affective & behavioral neuroscience.

[13]  Jonathan S. Cant,et al.  Independent Processing of Form, Colour, and Texture in Object Perception , 2008, Perception.

[14]  M. Bar,et al.  Visual elements of subjective preference modulate amygdala activation , 2007, Neuropsychologia.

[15]  Marshall W. Fishwick,et al.  Emotional Design: Why We Love (or Hate) Everyday Things , 2004 .

[16]  E. Rolls,et al.  Value, Pleasure and Choice in the Ventral Prefrontal Cortex , 2022 .

[17]  Edward A. Vessel,et al.  Beauty and the beholder: highly individual taste for abstract, but not real-world images. , 2010, Journal of vision.

[18]  R. Zajonc,et al.  Affect, cognition, and awareness: affective priming with optimal and suboptimal stimulus exposures. , 1993, Journal of personality and social psychology.

[19]  M. Bar,et al.  Very first impressions. , 2006, Emotion.

[20]  Thomas Serre,et al.  Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  J. M. Carroll,et al.  On the bipolarity of positive and negative affect. , 1999, Psychological bulletin.

[22]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[23]  M. Bar,et al.  The influence of nonremembered affective associations on preference. , 2006, Emotion.

[24]  Christopher K. Kovach,et al.  Rapid Interactions between the Ventral Visual Stream and Emotion-Related Structures Rely on a Two-Pathway Architecture , 2008, The Journal of Neuroscience.

[25]  A. Rangel,et al.  Dissociating valuation and saliency signals during decision-making. , 2011, Cerebral cortex.

[26]  Jonathan S. Cant,et al.  Cerebral Cortex Advance Access published April 28, 2006 Attention to Form or Surface Properties Modulates Different Regions of Human , 2022 .

[27]  V. Ramachandran,et al.  The science of art: A neurological theory of aesthetic experience , 1999 .

[28]  Katya Mandoki Everyday Aesthetics: Prosaics, the Play of Culture and Social Identities , 2007 .

[29]  I. Rentschler,et al.  Innate and learned components of human visual preference , 1999, Current Biology.

[30]  P. Slovic The Construction of Preference , 1995 .

[31]  Roger Giner-Sorolla,et al.  The automatic evaluation of pictures , 1999 .

[32]  I C McManus,et al.  The aesthetics of simple figures. , 1980, British journal of psychology.

[33]  S. Chaiken,et al.  The Automatic Evaluation of Novel Stimuli , 2002, Psychological science.

[34]  J. Russell A circumplex model of affect. , 1980 .

[35]  D. Norman Emotional design : why we love (or hate) everyday things , 2004 .

[36]  T. Rogers,et al.  Where do you know what you know? The representation of semantic knowledge in the human brain , 2007, Nature Reviews Neuroscience.

[37]  Leslie G. Ungerleider,et al.  Neural correlates of category-specific knowledge , 1996, Nature.

[38]  M. Bar The proactive brain: using analogies and associations to generate predictions , 2007, Trends in Cognitive Sciences.

[39]  M. Bar,et al.  Scenes Unseen: The Parahippocampal Cortex Intrinsically Subserves Contextual Associations, Not Scenes or Places Per Se , 2008, The Journal of Neuroscience.

[40]  J. Haxby,et al.  Parallel Visual Motion Processing Streams for Manipulable Objects and Human Movements , 2002, Neuron.

[41]  William A. Cunningham,et al.  Implicit and Explicit Evaluation: fMRI Correlates of Valence, Emotional Intensity, and Control in the Processing of Attitudes , 2004, Journal of Cognitive Neuroscience.

[42]  R. Fazio,et al.  Variability in automatic activation as an unobtrusive measure of racial attitudes: a bona fide pipeline? , 1995, Journal of personality and social psychology.

[43]  Yuriko Saito,et al.  Everyday Aesthetics , 2001 .

[44]  Oliver J. Hulme,et al.  Modulation of aesthetic value by semantic context: An fMRI study , 2009, NeuroImage.

[45]  Bradford C. Dickerson,et al.  Novelty as a dimension in the affective brain , 2010, NeuroImage.

[46]  Lisa Feldman Barrett,et al.  Individual Differences in Learning the Affective Value of Others under Minimal Conditions Affective Learning We Thank Caroline Cromwell for Her Help with Data Collection, And , 2022 .

[47]  M. Manosevitz,et al.  High-Speed Scanning in Human Memory , 2022 .

[48]  J. Russell,et al.  Neural systems subserving valence and arousal during the experience of induced emotions. , 2010, Emotion.

[49]  M. Tarr,et al.  Defining an object's micro-valence through implicit measures , 2010 .

[50]  David M. Sanbonmatsu,et al.  On the automatic activation of attitudes. , 1986, Journal of personality and social psychology.

[51]  Moshe Bar,et al.  See it with feeling: affective predictions during object perception , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.