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

Helfenstein, Sacha; Kaikova, Olena; Khriyenko, Oleksiy; Terziyan, Vagan

doi:10.1109/HSI.2014.6860441

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Helfenstein, S., Kaikova, O., Khriyenko, O., & Terziyan, V. (2014). Emotional Business Intelligence : Enabling experience-centric business with the FeelingsExplorer. In L. Gomes, J. Wtorek, A. Costa, H. Sawada, M. Manic, & P. Strumillo (Eds.), Proceedings of the 7th International Conference on Human System Interactions (HSI) (pp. 14-21). Institute of Electrical and Electronic Engineers (IEEE). https://doi.org/10.1109/HSI.2014.6860441

Authors

Helfenstein, Sacha |

Kaikova, Olena |

Khriyenko, Oleksiy |

Terziyan, Vagan

Editors

Gomes, Luís |

Wtorek, Jerzy |

Costa, Anikó |

Sawada, Hideyuki |

Manic, Milos |

Strumillo, Pawel

Date

2014

Discipline

Tietotekniikka Mathematical Information Technology

Copyright

© 2014 IEEE. This is a Final Draft version of an article whose final and definitive form has been published by IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

The domain of Emotional Business Intelligence (EBI) aims to support business-relevant emotional and emotionaware 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.

Publisher

Institute of Electrical and Electronic Engineers (IEEE)

Parent publication ISBN

978-1-4799-4714-0

Conference

International Conference on Human System Interaction

Is part of publication

Proceedings of the 7th International Conference on Human System Interactions (HSI)

License

Except where otherwise noted, this item's license is described as In Copyright