Architectural experience influences the processing of others’ body expressions

The interplay between space and cognition is a crucial issue in Neuroscience leading to the development of multiple research fields. However, the relationship between architectural space, the movement of the inhabitants and their interactions has been too often neglected, failing to provide a unifying view of architecture’s capacity to modulate social cognition broadly. We bridge this gap by requesting participants to judge avatars’ emotional expression (high vs. low arousal) at the end of their promenade inside high- or low-arousing architectures. Stimuli were presented in virtual reality to ensure a dynamic, naturalistic experience. High-density EEG was recorded to assess the neural responses to the avatar’s presentation. Observing highly aroused avatars increased Late Positive Potentials (LPP), in line with previous evidence. Strikingly, 250 ms before the occurrence of the LPP, P200 amplitude increased due to the experience of low-arousing architectures paralleling increased subjective arousal reports and fixation times on the avatar’s head. Source localization highlighted a contribution of the right dorsal premotor cortex to both P200 and LPP. In conclusion, the immersive and dynamic architectural experience modulates human social cognition. In addition, the motor system plays a role in processing architecture and body expressions proving how the space and social cognition interplay is rooted in common neural substrates. This study demonstrates that the manipulation of mere architectural space is sufficient to influence human behavior in social interactions. Significance Statement In the last thirty years the motor system has been recognized as a fundamental neural machinery for spatial and social cognition, making worthwhile the investigation of the interplay between architecture and social behavior. Here, we show that the motor system participates in the others’ body expression processing in two stages: the earliest influenced by the dynamic architectural experience, the latter modulated by the actual physical characteristics. These findings highlight the existence of motor neural substrates common to spatial and social cognition, with the architectural space exerting an early and possibly adapting effect on the later social experience. Since mere architectural forms influence human behavior, a proper spatial design could thus facilitate everyday social interactions.

[1]  P. Enticott,et al.  Enlarged Interior Built Environment Scale Modulates High-Frequency EEG Oscillations , 2022, eNeuro.

[2]  G. Rizzolatti,et al.  Measuring arousal and valence generated by the dynamic experience of architectural forms in virtual environments , 2022, Scientific Reports.

[3]  G. Vecchiato,et al.  The Avatar’s Gist: How to Transfer Affective Components From Dynamic Walking to Static Body Postures , 2022, Frontiers in Neuroscience.

[4]  K. Gramann,et al.  The Embodiment of Architectural Experience: A Methodological Perspective on Neuro-Architecture , 2022, Frontiers in Human Neuroscience.

[5]  Francisco J. Parada,et al.  Neuroscience and architecture: Modulating behavior through sensorimotor responses to the built environment , 2022, Neuroscience & Biobehavioral Reviews.

[6]  Keanan J. Joyner,et al.  Event-related potential studies of emotion regulation: A review of recent progress and future directions. , 2022, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[7]  Eric A. Walle,et al.  The Unique and Interactive Effects of Faces, Postures, and Scenes on Emotion Categorization , 2021, Affective Science.

[8]  G. Rizzolatti,et al.  Dynamic experience of architectural forms affects arousal and valence perception in virtual environments , 2021 .

[9]  Z. Cattaneo,et al.  Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate‐based meta‐analytic study , 2021, Human brain mapping.

[10]  Xiaochun Wang,et al.  The processing characteristics of bodily expressions under the odor context: An ERP study , 2021, Behavioural Brain Research.

[11]  Carmen Llinares,et al.  The Cognitive-Emotional Design and Study of Architectural Space: A Scoping Review of Neuroarchitecture and Its Precursor Approaches , 2021, Sensors.

[12]  K. Gramann,et al.  The brain dynamics of architectural affordances during transition , 2021, Scientific Reports.

[13]  Ursula Kirmse,et al.  Case-by-case: Emotional stimulus significance and the modulation of the EPN and LPP. , 2021, Psychophysiology.

[14]  D. Eilam,et al.  Social spatial cognition , 2020, Neuroscience & Biobehavioral Reviews.

[15]  I. Niazi,et al.  ERP based measures of cognitive workload: A review , 2020, Neuroscience & Biobehavioral Reviews.

[16]  Klaus Gramann,et al.  Identifying key factors for improving ICA-based decomposition of EEG data in mobile and stationary experiments , 2020, bioRxiv.

[17]  G. Hajcak,et al.  Significance?... Significance! Empirical, methodological, and theoretical connections between the late positive potential and P300 as neural responses to stimulus significance: An integrative review. , 2020, Psychophysiology.

[18]  C. Stevens,et al.  Adaptation aftereffects influence the perception of specific emotions from walking gait. , 2020, Acta psychologica.

[19]  Gina R Kuperberg,et al.  Having your cake and eating it too: Flexibility and power with mass univariate statistics for ERP data. , 2018, Psychophysiology.

[20]  P. Enticott,et al.  Impact of built environment design on emotion measured via neurophysiological correlates and subjective indicators: A systematic review , 2019, Journal of Environmental Psychology.

[21]  S. Gepshtein,et al.  Neuroscience for architecture: The evolving science of perceptual meaning , 2019, Proceedings of the National Academy of Sciences.

[22]  Klaus Gramann,et al.  Sensorimotor brain dynamics reflect architectural affordances , 2019, Proceedings of the National Academy of Sciences.

[23]  Kenneth Kreutz-Delgado,et al.  ICLabel: An automated electroencephalographic independent component classifier, dataset, and website , 2019, NeuroImage.

[24]  Matthew Schafer,et al.  Navigating Social Space , 2018, Neuron.

[25]  Guangming Ran,et al.  The Perception of Facial Emotional Change in Social Anxiety: An ERP Study , 2018, Front. Psychol..

[26]  M. Slater Immersion and the illusion of presence in virtual reality. , 2018, British journal of psychology.

[27]  Noa Pinter-Wollman,et al.  The impact of the built environment on health behaviours and disease transmission in social systems , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[28]  Justine Cléry,et al.  Cortical networks for encoding near and far space in the non-human primate , 2018, NeuroImage.

[29]  Tianzi Jiang,et al.  The Right Dorsal Premotor Mosaic: Organization, Functions, and Connectivity , 2016, Cerebral cortex.

[30]  Giacomo Rizzolatti,et al.  The mirror mechanism: a basic principle of brain function , 2016, Nature Reviews Neuroscience.

[31]  F. Babiloni,et al.  The Enactive Approach to Architectural Experience: A Neurophysiological Perspective on Embodiment, Motivation, and Affordances , 2016, Front. Psychol..

[32]  Marina Schmid,et al.  An Introduction To The Event Related Potential Technique , 2016 .

[33]  Fabio Babiloni,et al.  Electroencephalographic Correlates of Sensorimotor Integration and Embodiment during the Appreciation of Virtual Architectural Environments , 2015, Front. Psychol..

[34]  Kyungmin Su,et al.  The PREP pipeline: standardized preprocessing for large-scale EEG analysis , 2015, Front. Neuroinform..

[35]  Oshin Vartanian,et al.  Architectural design and the brain: effects of ceiling height and perceived enclosure on beauty judgments and approach-avoidance decisions , 2015 .

[36]  B. de Gelder,et al.  The perception of emotion in body expressions. , 2015, Wiley interdisciplinary reviews. Cognitive science.

[37]  L. Carretié Exogenous (automatic) attention to emotional stimuli: a review , 2014, Cognitive, affective & behavioral neuroscience.

[38]  Mathieu Vandenbulcke,et al.  Affective scenes influence fear perception of individual body expressions , 2014, Human brain mapping.

[39]  P. Philippot,et al.  Reduced Processing of Facial and Postural Cues in Social Anxiety: Insights from Electrophysiology , 2013, PloS one.

[40]  Adam C. Mills,et al.  The neural correlates of impaired attentional control in social anxiety: an ERP study of inhibition and shifting. , 2013, Emotion.

[41]  H. Nusbaum,et al.  Music can elicit a visual motion aftereffect , 2013, Attention, perception & psychophysics.

[42]  Julie Grèzes,et al.  Early Binding of Gaze, Gesture, and Emotion: Neural Time Course and Correlates , 2012, The Journal of Neuroscience.

[43]  Tobias Flaisch,et al.  Emotion and the processing of symbolic gestures: an event-related brain potential study. , 2011, Social cognitive and affective neuroscience.

[44]  B. de Gelder,et al.  Social context influences recognition of bodily expressions , 2010, Experimental Brain Research.

[45]  G. Rizzolatti,et al.  The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations , 2010, Nature Reviews Neuroscience.

[46]  Philip A. Gable,et al.  The Blues Broaden, but the Nasty Narrows , 2010, Psychological science.

[47]  John P Eberhard,et al.  Applying Neuroscience to Architecture , 2009, Neuron.

[48]  Marta Kutas,et al.  Identifying reliable independent components via split-half comparisons , 2009, NeuroImage.

[49]  B. de Gelder,et al.  Body expressions influence recognition of emotions in the face and voice. , 2007, Emotion.

[50]  M. Eysenck,et al.  Anxiety and cognitive performance: attentional control theory. , 2007, Emotion.

[51]  Fernando Cadaveira,et al.  Attentional load affects automatic emotional processing: evidence from event-related potentials , 2006, Neuroreport.

[52]  M. Wilson,et al.  Neuroscience and Architecture: Seeking Common Ground , 2006, Cell.

[53]  B. Fredrickson,et al.  Positive emotions broaden the scope of attention and thought‐action repertoires , 2005, Cognition & emotion.

[54]  M. Murray,et al.  EEG source imaging , 2004, Clinical Neurophysiology.

[55]  J. Mattingley,et al.  The cognitive and neural bases of spatial neglect , 2004 .

[56]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[57]  G. Rizzolatti,et al.  Space coding by premotor cortex , 2004, Experimental Brain Research.

[58]  J J Riera,et al.  Evaluation of inverse methods and head models for EEG source localization using a human skull phantom , 2001, Physics in medicine and biology.

[59]  G. Rizzolatti,et al.  Coding of peripersonal space in inferior premotor cortex (area F4). , 1996, Journal of neurophysiology.

[60]  G. Rizzolatti,et al.  Reorienting attention across the horizontal and vertical meridians: Evidence in favor of a premotor theory of attention , 1987, Neuropsychologia.