VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live

Abstract

The best and worst places to live have been analysed in the world for many years and multiple criteria analysis has been used for that purpose. The quality of housing and its environment, pollution, green places, public spaces, physical movement and health, crime rates and individual safety, the wellbeing of youngsters, unemployment, job value, economic scarcity, governance, circadian rhythm, weekly rhythm and other factors are the focus of such analyses that aim to determine levels of positive emotions and happiness in built environment. Questionnaires are the most common tool for such analyses, where inhabitants are asked to rank their happiness experience as a whole in built environment. Many studies demonstrate that happy people are effective in multiple areas of their life including job efficiency, salary, health, human relations, etc. The innovative aspect of this research stems from the fact that biometric technologies (affective attitudes, emotional and physiological states) and the VINERS method developed by the authors are used to determine the best places to live and to serve neuro ads of homes for sale. To do this, rational segments of homebuyers are determined according to their demographic profiles (age, gender, education, marital status, families with children, main source of income), consumer psychographics and behaviour (happy, sad and angry along with valence and heart rate) and then select a rational video ad for such rational segment. The aim of our research is to develop the VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live (VINERS method) by combining the Somatic Marker Hypothesis, biometrics, neuromarketing and COPRAS method. This article presents a case study to demonstrate the VINERS method put to practice.

A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States

“…The VINERS method and biometric techniques developed by Kaklauskas et al [ 494 ] for the analysis of emotional states, physiological reactions and affective attitudes were used to determine which locations are the best choice and then to show neuro ads of available homes offered for sale. Homebuyers were grouped into rational segments, taking into account consumer psychographics and behavior (happy, angry or sad, and valence and heart rate) and their demographic profiles (age, gender, marital status, children or no children, education, main source of income).…”

Theorem Verification of the Quantifier-Guided Dominance Degree with the Mean Operator for Additive Preference Relations

“…We make some decisions without difficulty, though others are difficult and are the reason why decision-making systems exist [1]. There have been many different systems developed to help experts make decisions based on their opinions or preferences [2][3][4]. In any case, systems can fail, and there can be errors, called logical errors, which do not affect the functioning of the system but do affect the final result [5], and that may have enormous negative repercussions in financial terms because the systems are supposed to provide good support to decision makers.…”