Emotional Business Intelligence : Enabling experience-centric business with the FeelingsExplorer

The domain of Emotional Business Intelligence (EBI) aims to support business-relevant emotional and emotion-aware decisions in addition to rational decision making. EBI originates from three root domains: Emotional Business, Emotional Intelligence and Business Intelligence (BI). In this paper we emphasize emotional empowerment of the traditional BI function; outline its main characteristics as a business working model of an emotionally smart, continuously learning organization; and introduce a first candidate of the EBI Toolkit, the FeelingsExplorer (FE). FE is a mash-up browser based on 4i (“ForEye”) technology, capable of visualizing objects in an emotional semantic space and thereby supporting decision making on emotional grounds. It takes metadata as input and visualizes the personalized “emotional similarity” of products, services, and customers. Different scenarios for FE application and overall implications of EBI for business and human technology are discussed. Decision support systems, decision making, context-aware computing, affective computing, emotive data, Business Intelligence, Customer Experience

[1]  Vagan Y. Terziyan,et al.  SmartResource - Proactive Self-Maintained Resources in Semantic Web: Lessons Learned , 2008 .

[2]  P. Livet.  Rational choice, neuroeconomy and mixed emotions , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[3]  Sacha Helfenstein,et al.  Increasingly emotional design for growingly pragmatic users? A report from Finland , 2012, Behav. Inf. Technol..

[4]  Mitsuo Nagamachi,et al.  Innovations of Kansei Engineering , 2016 .

[5]  Rajendra Akerkar,et al.  Toward Evolving Knowledge Ecosystems for Big Data Understanding , 2013 .

[6]  D Kahneman,et al.  On the reality of cognitive illusions. , 1996, Psychological review.

[7]  Elena Alfaro,et al.  An Emotional Business , 2014 .

[8]  Oleksiy Khriyenko,et al.  End-user Facilitated Interoperability in Internet of Things: Visually-enriched User-assisted Ontology Alignment , 2013 .

[9]  Edward Chace Tolman.  Wahrnehmung und Gegenstandswelt--Grundlegung einer Psychologie vom Gegenstand her. , 1935 .

[10]  P. Salovey,et al.  Emotional intelligence as a standard intelligence. , 2001, Emotion.

[11]  J. H. Gilmore,et al.  Welcome to the experience economy. , 1998, Harvard business review.

[12]  Douglas C. Engelbart,et al.  Augmenting human intellect: a conceptual framework , 1962 .

[13]  Rosalind W. Picard.  Affective Computing , 1997 .

[14]  R. Verganti.  Design, Meanings, and Radical Innovation: A Metamodel and a Research Agenda* , 2008 .

[15]  J. Bettman.  An information processing theory of consumer choice , 1979 .

[16]  B. Lev.  Intangibles: Management, Measurement, and Reporting , 2001 .

[17]  Sacha Helfenstein,et al.  Product meaning, affective use evaluation, and transfer : a preliminary study , 2005 .

[18]  E. Hirschman,et al.  The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun , 1982 .

[19]  Artem Katasonov,et al.  Global Understanding Environment: Applying Semantic and Agent Technologies to Industrial Automation , 2009 .

[20]  J. Velásquez.  Modeling Emotion-Based Decision-Making , 1998 .

[21]  Aditya Kalyanpur,et al.  Automatic knowledge extraction from documents , 2012, IBM J. Res. Dev..

[22]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Jie Lu,et al.  A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems , 2013, IEEE Transactions on Industrial Electronics.

[24]  Allen Newell,et al.  The model human processor: An engineering model of human performance. , 1986 .

[25]  J. C. R. Licklider,et al.  Man-Computer Symbiosis , 1960 .

[26]  D. Goleman.  Working with Emotional Intelligence , 1998 .

[27]  Evangelos Grigoroudis,et al.  Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications , 2013 .

[28]  J. Stainer,et al.  The Emotions , 1922, Nature.

[29]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[30]  Marc Hassenzahl,et al.  User experience - a research agenda , 2006, Behav. Inf. Technol..

[31]  Artem Katasonov,et al.  Smart Semantic Middleware for the Internet of Things , 2008, ICINCO-ICSO.

[32]  A. K. Basu.  A Theory of Decision-Making , 1973, The Journal of Sociology & Social Welfare.

[33]  Oleksiy Khriyenko,et al.  SIMILARITY/CLOSENESS-BASED RESOURCE BROWSER , 2009 .

[34]  Norbert Bischof,et al.  Das Rätsel Ödipus , 1985 .

[35]  Travis Bradberry,et al.  Emotional Intelligence 2.0 , 2009 .

[36]  Sam Bucolo,et al.  Using a design led approach to emotional business modelling , 2012 .

[37]  Simon French,et al.  Decision Making: Descriptive, Normative, and Prescriptive Interactions , 1990 .

[38]  Francisco Conejo.  Unconscious Branding: How Neuroscience Can Empower (and Inspire) Marketing , 2014 .

[39]  Oleksiy Khriyenko.  CONTEXT-SENSITIVE VISUAL RESOURCE BROWSER , 2008 .