The impact of parameters of store illumination on food shopper response

Customer behavior in sales areas is strongly influenced by the perception of surroundings and feelings of well-being. By using dynamic retail solutions of basic, accent and dramatic lighting it is possible to attract attention, create a unique in-store environment and give customers a reason to stay and return to the store. The simplest and also the most successful method to reach customer attention in food selection (buying) process is through eye-catchingly illuminated visuals of products. Visual senses has evolved to top ranks in the sensory hierarchy, therefore visual stimuli have a tendency to overcome all other senses. The paper deals with a comprehensive interdisciplinary research of the influence of light and color on the emotional state of consumers (valence) on the food market. It integrates the measurement of light intensity, color temperature or emitted color spectrum in grocery stores, recognition of emotional response and the time of its occurrence among respondents due to different lighting types and color in simulated laboratory conditions. The research is focused on accent lighting in the segment of fresh unpackaged food. Using a mobile 16-channel electroencephalograph (EEG equipment) from EPOC company and a mini camera we observed the response time and the emotional status (valence), in order to reveal true consumer preferences in different lighting conditions (color temperature and color rendering index) and their non-traditional color (yellow, purple, red, blue and green) for the selected food type. The paper suggests possibilities for rational combination of the effective, efficient and energy-saving accent lighting, by which the retailer can achieve not only an eye-catching and attractive presentation of merchandised products, but also significant savings within operating their stores.

[1]  Michel Tuan Pham.  The Logic of Feeling , 2004 .

[2]  The Perceived Value of Brand Heritage and Brand Luxury , 2012 .

[3]  Christopher R. Madan,et al.  Neuromarketing: the next step in market research? , 2010 .

[4]  Leon Zurawicki,et al.  Neuromarketing: Exploring the Brain of the Consumer , 2010 .

[5]  A. Bechara,et al.  The somatic marker framework as a neurological theory of decision-making: Review, conceptual comparisons, and future neuroeconomics research , 2010 .

[6]  A. Mathur,et al.  Store environment and consumer purchase behavior: Mediating role of consumer emotions , 1997 .

[7]  A. Urbano,et al.  Dynamic functional coupling of high resolution EEG potentials related to unilateral internally triggered one-digit movements. , 1998, Electroencephalography and clinical neurophysiology.

[8]  Anthony J. Ries,et al.  Usability of four commercially-oriented EEG systems , 2014, Journal of neural engineering.

[9]  Laura Chamberlain,et al.  What is "neuromarketing"? A discussion and agenda for future research. , 2007, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[10]  Mirja Hubert,et al.  Does neuroeconomics give new impetus to economic and consumer research , 2010 .

[11]  William Stafford Noble,et al.  Support vector machine , 2013 .

[12]  Yuan-Pin Lin,et al.  Support vector machine for EEG signal classification during listening to emotional music , 2008, 2008 IEEE 10th Workshop on Multimedia Signal Processing.

[13]  B. Mullan,et al.  Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour , 2012, Appetite.

[14]  R. Varley.  Retail Product Management: Buying and Merchandising , 2001 .

[15]  H. Xu,et al.  Color Rendering Capacity of Light , 2010 .

[16]  Malaika Brengman,et al.  The impact of color in the store environment , 2003 .

[17]  I. Knez,et al.  Effects of Indoor Lighting, Gender, and Age on Mood and Cognitive Performance , 2000 .

[18]  K. Scherer,et al.  The World of Emotions is not Two-Dimensional , 2007, Psychological science.

[19]  Katelijn Quartier,et al.  Retail design: lighting as an atmospheric tool, creating experiences which influence consumers’ mood and behaviour in commercial spaces , 2009 .

[20]  A. Colasanti,et al.  Carbon Dioxide-Induced Emotion and Respiratory Symptoms in Healthy Volunteers , 2008, Neuropsychopharmacology.

[21]  A. Damasio.  Self comes to mind : constructing the conscious brain , 2010 .

[22]  D. Denton.  The Primordial Emotions: The Dawning of Consciousness , 2006 .

[23]  L. F. Barrett.  Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus , 1998 .

[24]  Robert Bean,et al.  Lighting: Interior and Exterior , 2004 .

[25]  L. Scott.  Perceived value. , 1984, Journal of hospital supply, processing, and distribution.

[26]  Michael D. Robinson,et al.  Measures of emotion: A review , 2009, Cognition & emotion.

[27]  Thorbjörn Laike,et al.  The impact of light and colour on psychological mood: a cross-cultural study of indoor work environments , 2006, Ergonomics.

[28]  R. Adolphs,et al.  Neurobiology of emotion at a systems level. , 2000 .

[29]  G. McArthur,et al.  Validation of the Emotiv EPOC® EEG gaming system for measuring research quality auditory ERPs , 2013, PeerJ.

[30]  M. Hui,et al.  Perceived Control and the Effects of Crowding and Consumer Choice on the Service Experience , 1991 .

[31]  P. Nunez,et al.  Neocortical Dynamics and Human EEG Rhythms , 1995 .

[32]  A. Damasio.  Descartes' error: emotion, reason, and the human brain. avon books , 1994 .

[33]  James R. Benya,et al.  Lighting Design Basics , 2004 .

[34]  Cheryl Farr,et al.  The Effects of Lighting on Consumers’ Emotions and Behavioral Intentions in a Retail Environment: A Cross–Cultural Comparison , 2007 .

[35]  Darren Brooker.  Essential CG Lighting Techniques , 2002 .

[36]  P. Kenning,et al.  A current overview of consumer neuroscience , 2008 .

[37]  R. Dooley.  Brainfluence: 100 Ways to Persuade and Convince Consumers with Neuromarketing , 2011 .

[38]  Teresa A. Summers,et al.  Shedding some light on store atmospherics: influence of illumination on consumer behavior , 2001 .

[39]  G. Comi,et al.  IFCN standards for digital recording of clinical EEG. The International Federation of Clinical Neurophysiology. , 1998, Electroencephalography and clinical neurophysiology. Supplement.

[40]  Leontios J. Hadjileontiadis,et al.  A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition , 2011, IEEE Transactions on Information Technology in Biomedicine.

[41]  Andreas A. Ioannides,et al.  Brands on the Brain: Neuro‐Images of Advertising , 2000 .

[42]  Claus Ebster,et al.  Store Design and Visual Merchandising: Creating Store Space That Encourages Buying , 2011 .

[43]  Jakub Berčík,et al.  The efficiency, energy intensity and visual impact of the accent lighting in the retail grocery stores. , 2014 .

[44]  P. Kotler.  Atmospherics as a Marketing Tool , 1974 .

[45]  Mary Jo Bitner,et al.  Servicescapes: The Impact of Physical Surroundings on Customers and Employees: , 1992 .

[46]  J. Russell.  Core affect and the psychological construction of emotion. , 2003, Psychological review.

[47]  Michael S. Minor,et al.  Validity, reliability, and applicability of psychophysiological techniques in marketing research , 2008 .

[48]  A. Mehrabian.  Basic Dimensions For A General Psychological Theory , 1980 .

[49]  Thierry Dutoit,et al.  Performance of the Emotiv Epoc headset for P300-based applications , 2013, Biomedical engineering online.

[50]  Ko Floor.  Branding a Store: How to Build Successful Retail Brands in a Changing Marketplace , 2006 .

[51]  Julien Penders,et al.  Towards wireless emotional valence detection from EEG , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[52]  Guideline Thirteen: Guidelines for Standard Electrode Position Nomenclature , 1994, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[53]  G. Comi,et al.  IFCN standards for digital recording of clinical EEG. International Federation of Clinical Neurophysiology. , 1998, Electroencephalography and clinical neurophysiology.

[54]  Charalampos Bratsas,et al.  Toward Emotion Aware Computing: An Integrated Approach Using Multichannel Neurophysiological Recordings and Affective Visual Stimuli , 2010, IEEE Transactions on Information Technology in Biomedicine.

[55]  Grayson Beau Huber.  Atmospherics as a Marketing Tool: The Influence of the Student Union Dining Atmosphere and Service on Students' Attitudes and Actions , 2018 .

[56]  Jaak Panksepp,et al.  Neuro-Psychoanalysis May Enliven the Mindbrain Sciences , 2007, Cortex.

[57]  J. G. McGuire.  What in the world? , 1996, The Journal of school health.

[58]  A. Mehrabian.  Basic dimensions for a general psychological theory : implications for personality, social, environmental, and developmental studies , 1980 .

[59]  Thomas Z. Ramsøy,et al.  Introduction to Neuromarketing & Consumer Neuroscience , 2014 .

[60]  J. Rilling,et al.  The neuroscience of social decision-making. , 2011, Annual review of psychology.

[61]  Rafael Ramírez,et al.  Detecting Emotion from EEG Signals Using the Emotive Epoc Device , 2012, Brain Informatics.

[62]  P D Bamidis,et al.  Affective Medicine , 2010, Methods of Information in Medicine.

[63]  Scott R. Mangum.  Effective Constrained Illumination of Three-Dimensional, Light-Sensitive Objects , 1998 .

[64]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[65]  Stephan Hamann,et al.  Mapping discrete and dimensional emotions onto the brain: controversies and consensus , 2012, Trends in Cognitive Sciences.

[66]  A. Pradeep.  The Buying Brain: Secrets for Selling to the Subconscious Mind , 2010 .

[67]  Guillén Fernández,et al.  Brain Mechanisms of Persuasion: How "Expert Power" Modulates Memory and Attitudes , 2008, Social cognitive and affective neuroscience.

[68]  S. Rauch,et al.  Neurobiology of emotion perception II: implications for major psychiatric disorders , 2003, Biological Psychiatry.

[69]  Laurette Dubé,et al.  Background music pleasure and store evaluation: intensity effects and psychological mechanisms , 2001 .

[70]  Avi Pfeffer,et al.  INFLUENCE OF , 2014 .

[71]  Charles S. Areni,et al.  The influence of in-store lighting on consumers' examination of merchandise in a wine store , 1994 .

[72]  E. Schaefer,et al.  A circumplex model for maternal behavior. , 1959, Journal of abnormal and social psychology.

[73]  Leontios J. Hadjileontiadis,et al.  Toward an EEG-Based Recognition of Music Liking Using Time-Frequency Analysis , 2012, IEEE Transactions on Biomedical Engineering.

[74]  K. Scherer.  What are emotions? And how can they be measured? , 2005 .

[75]  Jakub Berčík,et al.  The Influence of Light on Consumer Behavior at the Food Market , 2014 .

[76]  R. E. Milliman,et al.  Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence , 2000 .

[77]  Barry J. Babin,et al.  Atmospheric Affect as a Tool for Creating Value and Gaining Share of Customer , 2000 .

[78]  Laurette Dubé,et al.  The impact of music on consumers' reactions to waiting for services , 1997 .

[79]  Frank F. La Giusa,et al.  Further Studies on the Effects of Brightness Variations on Attention Span in a Learning Environment , 1974 .

[80]  Paul Pauli,et al.  The motor side of emotions: investigating the relationship between hemispheres, motor reactions and emotional stimuli , 2012, Psychological research.

[81]  Hilke Plassmann,et al.  Branding the brain: A critical review and outlook , 2012 .

[82]  Guillaume Chanel,et al.  Emotion Assessment: Arousal Evaluation Using EEG's and Peripheral Physiological Signals , 2006, MRCS.

[83]  Tina M. Lowrey.  Brick & Mortar Shopping in the 21st Century , 2007 .