A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method
| Autor: | Raimondas Grubliauskas, Virgis Milevicius, Anastasiia Velykorusova, Arturas Kaklauskas, Ingrida Vetloviene, Irina Vinogradova, Darius Kalibatas, Raimonda Bublienė, Ieva Ubarte, Andrej Naumcik, Irene Lill, Pavelas Volginas |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Control and Optimization
Energy (esotericism) Neuromarketing 0211 other engineering and technologies Energy Engineering and Power Technology 02 engineering and technology lcsh:Technology green and energy efficient housing correlations 0502 economics and business Electrical and Electronic Engineering Valence (psychology) Engineering (miscellaneous) Built environment human emotional and physiological states multicriteria analysis lcsh:T Renewable Energy Sustainability and the Environment Noise pollution 05 social sciences 021107 urban & regional planning Environmental economics video ads neuromarketing method Noise Clean energy 050211 marketing Business Energy (miscellaneous) Efficient energy use |
| Zdroj: | Energies, Vol 12, Iss 20, p 3836 (2019) Energies; Volume 12; Issue 20; Pages: 3836 |
| Popis: | Green products, clean energy, energy union, green buildings, eco-innovations, environment-related, and similar initiatives and policies have become very popular and widely applied all over the world. A pleasant built environment (parks, flowerbeds, beautiful buildings) and a repulsive environment (noise, polluted surroundings) influence a buyer’s outlook on an advertisement differently. An aesthetic, comfortable, and clean built environment evokes positive emotional states, not only at the time of housing selection and purchase but during the building’s life cycle as well. Potential housing buyers always feel comfortable in certain built environments, and they are inclined to spend more time there. The issues needing answers are how to measure the segmentation/physiological indicators (crowd composition by gender and age groups), as well as the emotional (happy, sad, angry, valence) and physiological (heart rate) states of potential homebuyers realistically, to produce an integrated evaluation of such data and offer buyers rational, green, and energy efficient housing alternatives. To achieve this purpose, the Multisensory, green and energy efficient housing neuromarketing method was developed to generate the necessary conditions. Here, around 200 million multisensory data recordings (emotional and physiological states) were accumulated, and the environmental air pollution (CO, NO2, PM10, volatile organic compounds) and noise pollution were investigated. Specific green and energy efficient building case studies appear in this article to demonstrate the developed method clearly. The obtained research results are in line with those from previous and current studies, which state that the interrelation of environmental responsiveness and age forms an inverse U and that an interest in green and energy efficient housing depends on age. This article belongs to the Section Energy and Environment This project has received funding from European Regional Development Fund (project No 01.2.2-LMT-K-718-01-0073) under grant agreement with the Research Council of Lithuania (LMTLT). |
| Databáze: | OpenAIRE |
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