Emotional, affective and biometrical states analytics of a built environment

A Kaklauskas, A Abraham, G Dzemyda… - … Applications of Artificial …, 2020 - Elsevier
Engineering Applications of Artificial Intelligence, 2020Elsevier
Personal interests constitute the emphasis of client-centered, personalized marketing, which
leads to personalized client fulfillment. Current shoppers are interested in more than simply
buying products and services; shoppers are also interested in the surroundings of the
shopping site. Everywhere in the world, an analysis of marketing value, with rare exceptions,
does not integrate criteria relevant to the emotional, affective and biometrical states, valence
and arousal of potential buyers. Such parameters require assessment for implementing an …
Abstract
Personal interests constitute the emphasis of client-centered, personalized marketing, which leads to personalized client fulfillment. Current shoppers are interested in more than simply buying products and services; shoppers are also interested in the surroundings of the shopping site. Everywhere in the world, an analysis of marketing value, with rare exceptions, does not integrate criteria relevant to the emotional, affective and biometrical states, valence and arousal of potential buyers. Such parameters require assessment for implementing an accurate and more effective, client-centered marketing process. This research, which required developing the Emotional, Affective and Biometrical States Analytics of the Built Environment (VINERS) Method, provides a “big picture” of built environment neuromarketing. A multiple-criteria analysis integrated the emotional, affective and biometrical states of potential buyers and the surrounding environment (its physical, economic, social and environmental criteria). Neuro-decision and neuro-correlation matrices analysis constituted its basis. This research involved the accumulation and analysis of over 350 million remote data points, which aimed to ascertain the development of the biometrical, affective and emotional maps and sought to determine over 35,000 of average and strong correlations. The obtained dependencies constituted the basis for calculating and graphically submitting the VINERS circumplex model of affect, which the authors of this article had developed. This model is similar to Russell’s circumplex model of affect. However, now, the VINERS Method has provided supplements offering new opportunities. Determination of an integrated emotional market rental (IEMR) value, provision of digital tips and optimization of the IEMR value are made possible by the VINERS Method.
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