Measuring Consumer Engagement in the Brain to Online Interactive Shopping Environments

Online shopping environments are becoming more interactive as technology advances. As a result, it is necessary to explore marketing theories and neuro scientific explanations to why this is the case. A reviewed approach of consumer engagement to online interactive shopping environments is considered in this chapter. The online interactive elements of traditional fashion websites that are considered includes; social media, browsing and videos. Measurements of consumer engagement are reviewed via marketing consumer engagement theories (CE) and a cognitive neuroscience technique using an Electroencephalogram (EEG) (A non-invasive procedure measuring the brain’s electrical activity). ASOS.com, the U.K. top fashion online pure player, is used as a preliminary research study, the results demonstrate that engagement is significantly different in social media, video and browsing tasks and browsing for jackets online elicits more engagement. Originality of this research stems from the novel way to look at engagement and the ability to combine traditional and non-traditional marketing methods thus addressing emerging fields of the future such as virtual shopping.

[1]  Alex Leykin,et al.  Identifying the drivers of shopper attention, engagement, and purchase , 2014, The Routledge Companion to Marketing Research.

[2]  Michelle N. Lumicao,et al.  EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. , 2007, Aviation, space, and environmental medicine.

[3]  P. Benson,et al.  Towards a functional neuroanatomy of self processing: effects of faces and words. , 2000, Brain research. Cognitive brain research.

[4]  S. Kiesler,et al.  Group decision making and communication technology , 1992 .

[5]  Salvatore G. Fiore,et al.  Surveying the use of sound in online stores , 2007 .

[6]  Stephen J. Hoch,et al.  Managing What Consumers Learn from Experience , 1989 .

[7]  A. Saks Antecedents and consequences of employee engagement , 2006 .

[8]  Thomas O. Davenport,et al.  Job engagement: Why it's important and how to improve It , 2002 .

[9]  E. Geuze,et al.  Neural correlates of personality: An integrative review , 2013, Neuroscience & Biobehavioral Reviews.

[10]  Anna M. Bianchi,et al.  EEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[11]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[12]  C. Veloutsou,et al.  Capturing consumer engagement: duality, dimensionality and measurement , 2016 .

[13]  Stephen H. Fairclough,et al.  Use of auditory event-related potentials to measure immersion during a computer game , 2015, Int. J. Hum. Comput. Stud..

[14]  David Mazursky,et al.  Modifying consumer search processes in enhanced on-line interfaces , 2005 .

[15]  A. Balsano Youth Civic Engagement in the United States: Understanding and Addressing the Impact of Social Impediments on Positive Youth and Community Development , 2005 .

[16]  M. Ooms,et al.  The effect of depression on social engagement in newly admitted Dutch nursing home residents. , 2003, The Gerontologist.

[17]  Richard P. Bagozzi,et al.  Merely Being with you Increases My Attention to Luxury Products: Using EEG to Understand Consumers’ Emotional Experience with Luxury Branded Products , 2015 .

[18]  Cheng-Hsin Hsu,et al.  Network traces of virtual worlds: measurements and applications , 2011, MMSys.

[19]  A. Simmons,et al.  Neural Correlates of Error Processing in Young People With a History of Severe Childhood Abuse: An fMRI Study. , 2015, The American journal of psychiatry.

[20]  Ana Javornik,et al.  Augmented reality: Research agenda for studying the impact of its media characteristics on consumer behaviour , 2016 .

[21]  Jakob Nielsen,et al.  Designing Web Usability: The Practice of Simplicity , 1999 .

[22]  Raymond R. Burke,et al.  An Examination of Social Influence on Shopper Behavior Using Video Tracking Data , 2014 .

[23]  Matt KleinschmitAndrew ReidRichard Rizzo VIRTUAL FUTURE: REAL LIFE OR FANTASY INNOVATIONS IN VIRTUAL TESTING TECHNOLOGIES AND APPLICATIONS , 2012 .

[24]  Ivona Hidega,et al.  Organizational Behavior and Human Decision Processes , 2019 .

[25]  J. Brockner,et al.  Value from hedonic experience and engagement. , 2006, Psychological review.

[26]  Dong-Mo Koo,et al.  The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention , 2010, Comput. Hum. Behav..

[27]  Fred D. Davis,et al.  Neurophysiological correlates of cognitive absorption in an enactive training context , 2014, Comput. Hum. Behav..

[28]  R. Brodie,et al.  Customer Engagement , 2011 .

[29]  J. Cacioppo,et al.  Mind at ease puts a smile on the face: psychophysiological evidence that processing facilitation elicits positive affect. , 2001, Journal of personality and social psychology.

[30]  Reza Fazel-Rezai,et al.  A Fuzzy Logic System for Seizure Onset Detection in Intracranial EEG , 2012, Comput. Intell. Neurosci..

[31]  Steve Pettifer,et al.  Absorption, dissociation, locus of control and presence in virtual reality , 2007, Comput. Hum. Behav..

[32]  Patsy Perry,et al.  The sensory retail environment of small fashion boutiques , 2012 .

[33]  Eileen Flynn,et al.  Employee Engagement: Boosting Productivity in Turbulent Times , 2007 .

[34]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[35]  H. Wilson,et al.  Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives , 2010 .

[36]  Izak Benbasat,et al.  The Effects of Presentation Formats and Task Complexity on Online Consumers' Product Understanding , 2007, MIS Q..

[37]  Daniel L. King,et al.  Adolescent simulated gambling via digital and social media: An emerging problem , 2014, Comput. Hum. Behav..

[38]  A. Engel,et al.  Beta-band oscillations—signalling the status quo? , 2010, Current Opinion in Neurobiology.

[39]  C. Spence,et al.  Multisensory design: Reaching out to touch the consumer , 2011 .

[40]  D. Kahneman Attention and Effort , 1973 .

[41]  R. Brodie,et al.  Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation , 2014 .

[42]  Jennifer A. Fredricks,et al.  School Engagement: Potential of the Concept, State of the Evidence , 2004 .

[43]  Weiwu Zhang,et al.  Gay Bullying and Online Opinion Expression , 2014 .

[44]  Lynn Dailey Navigational web atmospherics Explaining the influence of restrictive navigation cues , 2004 .

[45]  Joann Peck,et al.  To have and to Hold: The Influence of Haptic Information on Product Judgments , 2003 .

[46]  A. Pope,et al.  Biocybernetic system evaluates indices of operator engagement in automated task , 1995, Biological Psychology.

[47]  E. Harmon-Jones,et al.  Exercising self-control increases approach motivation. , 2010, Journal of personality and social psychology.

[48]  J. Meece,et al.  Students' goal orientations and cognitive engagement in classroom activities , 1988 .

[49]  Yong Jin Kim,et al.  The impact of interactivity of electronic word of mouth systems and E-Quality on decision support in the context of the e-marketplace , 2015, Inf. Manag..

[50]  Gerald Häubl,et al.  Choice in Interactive Environments , 2005 .

[51]  R. Brodie,et al.  Consumer engagement in a virtual brand community: An exploratory analysis , 2013 .

[52]  D. Fugate Neuromarketing: a layman's look at neuroscience and its potential application to marketing practice , 2007 .

[53]  A. Faber Finding Flow The Psychology Of Engagement With Everyday Life , 2016 .

[54]  Lenore J Launer,et al.  The effect of social engagement on incident dementia: the Honolulu-Asia Aging Study. , 2006, American journal of epidemiology.

[55]  Irini Rigopoulou,et al.  Virtual Store Layout Effects on Consumer Behaviour: Applying an Environmental Psychology Approach in the Online Travel Industry , 2011, Internet Res..

[56]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers? A Large-Scale Exploratory Empirical Study , 2005 .

[57]  R. Ohme,et al.  A Small Frog That Makes a Big Difference: Brain Wave Testing of TV Advertisements , 2012, IEEE Pulse.

[58]  Jeffrey C. Cooper,et al.  Functional magnetic resonance imaging of reward prediction , 2005, Current opinion in neurology.

[59]  Alexandre Pereda-Baños,et al.  A Psychophysiological Approach to the Usability Evaluation of a Multi-view Video Browsing Tool , 2013, MMM.

[60]  Bilge Mutlu,et al.  Pay attention!: designing adaptive agents that monitor and improve user engagement , 2012, CHI.

[61]  Chih-Chien Wang,et al.  An exploratory study using inexpensive electroencephalography (EEG) to understand flow experience in computer-based instruction , 2014, Inf. Manag..

[62]  F. Sava,et al.  Virtual reality measures in neuropsychological assessment: a meta-analytic review , 2016, The Clinical neuropsychologist.

[63]  J. Zaichkowsky Measuring the Involvement Construct , 1985 .

[64]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[65]  J. Bargh,et al.  Automatic information processing and social perception: The influence of trait information presented outside of conscious awareness on impression formation. , 1982 .

[66]  Bülent Yilmaz,et al.  Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies , 2014, Comput. Methods Programs Biomed..

[67]  B. Schneider,et al.  Engaged in Engagement: We Are Delighted We Did It , 2008, Industrial and Organizational Psychology.

[68]  F. Freeman,et al.  Evaluation of an adaptive automation system using three EEG indices with a visual tracking task , 1999, Biological Psychology.

[69]  Jyh-Chong Liang,et al.  Current status, opportunities and challenges of augmented reality in education , 2013, Comput. Educ..

[70]  Elaine Toms,et al.  The development and evaluation of a survey to measure user engagement , 2010, J. Assoc. Inf. Sci. Technol..

[71]  Stephen L. Vargo,et al.  Evolving to a New Dominant Logic for Marketing , 2004 .

[72]  Walter F. Bischof,et al.  Spatial Navigation in Virtual Reality Environments: An EEG Analysis , 2003, Cyberpsychology Behav. Soc. Netw..

[73]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[74]  Thomas D. Parsons,et al.  Evaluating Electroencephalography Engagement Indices During Video Game Play , 2015, FDG.

[75]  Stuart J. Barnes,et al.  Assessing the value of real-life brands in Virtual Worlds , 2015 .

[76]  R. Davidson,et al.  Anterior electrophysiological asymmetries, emotion, and depression: conceptual and methodological conundrums. , 1998, Psychophysiology.

[77]  E. Gummesson Making Relationship Marketing Operational , 1994 .

[78]  M. Fassnacht,et al.  Luxury web atmospherics: an examination of homepage design , 2013 .

[79]  Alexandre Pereda-Baños,et al.  Interest as a Proxy of Engagement in News Reading: Spectral and Entropy Analyses of EEG Activity Patterns , 2019, IEEE Transactions on Affective Computing.

[80]  Stuart J. Barnes,et al.  BRAND VALUE IN VIRTUAL WORLDS: AN AXIOLOGICAL APPROACH , 2008 .

[81]  Esther Rodriguez-Villegas,et al.  Wearable Electroencephalography , 2010, IEEE Engineering in Medicine and Biology Magazine.

[82]  A. Broderick,et al.  Conceptualising consumer behaviour in online shopping environments , 2007 .

[83]  Stephen L. Vargo,et al.  Service-dominant logic: continuing the evolution , 2008 .

[84]  T. Gilovich,et al.  We’ll Always Have Paris: The Hedonic Payoff from Experiential and Material Investments , 2015 .

[85]  Leyland Pitt,et al.  Is it all a game? Understanding the principles of gamification , 2015 .

[86]  Adam P. Vrechopoulos,et al.  Store atmosphere in web retailing , 2009 .

[87]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[88]  Richard J. Harnish,et al.  Mall Haul Videos: Self-Presentational Motives and the Role of Self-Monitoring , 2016 .

[89]  Alan Gevins,et al.  Effects of marijuana on neurophysiological signals of working and episodic memory , 2004, Psychopharmacology.

[90]  Sharron J. Lennon,et al.  Online visual merchandising (VMD) of apparel web sites , 2007 .

[91]  Fatema Kawaf,et al.  The construction of online shopping experience: A repertory grid approach , 2017, Comput. Hum. Behav..

[92]  Narendra K. Sharma,et al.  The impact of perceived crowding on consumers' store patronage intentions: Role of optimal stimulation level and shopping motivation , 2013 .

[93]  Richard P. Bagozzi,et al.  Brand Community Membership and the Construction of Meaning , 2013 .

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

[95]  E. Friedman,et al.  The Social Cost of Cheap Pseudonyms , 2001 .

[96]  Amitava Chattopadhyay,et al.  Waiting for the Web: How Screen Color Affects Time Perception , 2004 .

[97]  Xuqun You,et al.  Analysis of Mental Workload in Online Shopping: Are Augmented and Virtual Reality Consistent? , 2017, Front. Psychol..

[98]  S. Shyam Sundar,et al.  Lights, Camera, Music, Interaction! Interactive Persuasion in E-commerce , 2014, Commun. Res..

[99]  A. Bryman Mission accomplished?: Research methods in the first five years of Leadership , 2011 .

[100]  Michela Ott,et al.  The potential relevance of cognitive neuroscience for the development and use of technology-enhanced learning , 2015 .

[101]  Yoonhyuk Jung,et al.  Understanding consumption in social virtual worlds: A sensemaking perspective on the consumption of virtual goods , 2014 .

[102]  Benny B. Briesemeister,et al.  Approach the Good, Withdraw from the Bad—A Review on Frontal Alpha Asymmetry Measures in Applied Psychological Research , 2013 .

[103]  AN Hrabi,et al.  A Measure of Arousal Seeking Tendency , 1973 .

[104]  Yang Li,et al.  Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[105]  Innes Ritchie,et al.  Waiting for the web , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[106]  Jane Webster,et al.  Enhancing the Design of Web Navigation Systems: The Influence of User Disorientation on Engagement and Performance , 2006, MIS Q..

[107]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[108]  John T. Guthrie,et al.  Classroom Conditions for Motivation and Engagement in Reading , 2001 .

[109]  L. Hollebeek Exploring customer brand engagement: definition and themes , 2011 .

[110]  Tseng-Lung Huang,et al.  Creating e-shopping multisensory flow experience through augmented-reality interactive technology , 2015, Internet Res..

[111]  Uché Okonkwo,et al.  Luxury Online: Styles, Systems, Strategies , 2010 .

[112]  Judy Chuan-Chuan Lin,et al.  Antecedents and consequences of trust in online product recommendation: An empirical study in social shopping , 2010, Online Inf. Rev..

[113]  V. Mittal,et al.  How Males and Females Differ in Their Likelihood of Transmitting Negative Word of Mouth , 2014 .