A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method

Kaklauskas, Artūras; Ubarte, Ieva; Kalibatas, Darius; Lill, Irene; Velykorusova, Anastasiia; Volginas, Pavelas; Vinogradova, Irina; Milevicius, Virgis; Vetloviene, Ingrida; Grubliauskas, Raimondas; Bublienė, Raimonda; Naumcik, Andrej

doi:10.3390/en12203836

Cited by 5 publications

(4 citation statements)

References 90 publications

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“…A neuromarketing method for green, energy-efficient and multisensory homes, proposed by Kaklauskas et al [493], can be used to determine the conditions that are required. The multisensory dataset (physiological and emotional states) collected as part of this research contained about 200 million data points, and the analysis also included noise pollution and outdoor air pollution (volatile organic compounds, CO, NO2, and PM10).…”

Section: Review Of Existing Novel Facial Expression Recognition Systemsmentioning

confidence: 99%

Internet and Biometric Web Based Business Management Decision Support

Kaklauskas¹

2023

Preprint

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Section: Review Of Existing Novel Facial Expression Recognition Systemsmentioning

confidence: 99%

Internet and Biometric Web Based Business Management Decision Support

Kaklauskas¹

2023

Preprint

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“…In addition, they have been stimulating consumers' mindsets toward diverse marketing communications differently. Furthermore, innovative sustainable development trends such as green products, clean energy, green buildings, eco-innovations, etc., attract real estate customers toward sustainable consumption [88]. Therefore, neuromarketing tools can be a game-changer.…”

Section: Neuromarketing For Sustainable Business Developmentmentioning

confidence: 99%

What Do You Need to Know? A Systematic Review and Research Agenda on Neuromarketing Discipline

Singh,

Alhassan,

Khoshaim

2023

JTAER

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The neuromarketing phenomenon has led to a makeover in the marketing area, and its application in the business world has generated a better insight into understanding diverse consumer behavior. This comprehensive study delves into the multifaceted world of neuromarketing. Employing a systematic literature review approach and reviewing 51 articles from the Web of Science database, the study aims to provide a holistic view of the neuromarketing field, offering valuable insights and directions for future research and practical application in the business and academic world. The key results of this study are classified into six distinct research themes: 1. Evolution of Neuromarketing, 2. Neuromarketing Definitions and Neuromarketing Tools, 3. Neuromarketing in Practice, 4. Social Value of Neuromarketing, 5. Neuromarketing and Consumer Behavior, and 6. Neuromarketing for Sustainable Business Development. The results of the study are based on the 4W framework (What, Where, Why, and How) and the TCCM framework (Themes, Contexts, Characteristics, and Methodology). The study underscores the significance of neuromarketing to businesses and serves as a provocative call to action for businesses to study its potential which traditional marketing techniques may overlook. This study is notable for its investigation of theoretical evolution, definitions, tools, practices, social value, and influence on consumer behavior within the discipline. Its contribution unfolds to sustainable business development, where neuromarketing can facilitate sustainable products and practices by understanding consumer behavior. This study presents valuable insights and sets the stage for future research through theoretical advancements in neuromarketing. It further acts as a foundational resource for marketers and researchers in augmenting their theoretical and practical acumen.

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“…A neuromarketing method for green, energy-efficient and multisensory homes, proposed by Kaklauskas et al [ 493 ], can be used to determine the conditions that are required. The multisensory dataset (physiological and emotional states) collected as part of this research contained about 200 million data points, and the analysis also included noise pollution and outdoor air pollution (volatile organic compounds, CO, NO 2 , and PM10).…”

Section: Brain and Biometric Affect Sensorsmentioning

confidence: 99%

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

Kaklauskas

Abraham

Ubarte

et al. 2022

Sensors

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Affective, emotional, and physiological states (AFFECT) detection and recognition by capturing human signals is a fast-growing area, which has been applied across numerous domains. The research aim is to review publications on how techniques that use brain and biometric sensors can be used for AFFECT recognition, consolidate the findings, provide a rationale for the current methods, compare the effectiveness of existing methods, and quantify how likely they are to address the issues/challenges in the field. In efforts to achieve the key goals of Society 5.0, Industry 5.0, and human-centered design better, the recognition of emotional, affective, and physiological states is progressively becoming an important matter and offers tremendous growth of knowledge and progress in these and other related fields. In this research, a review of AFFECT recognition brain and biometric sensors, methods, and applications was performed, based on Plutchik’s wheel of emotions. Due to the immense variety of existing sensors and sensing systems, this study aimed to provide an analysis of the available sensors that can be used to define human AFFECT, and to classify them based on the type of sensing area and their efficiency in real implementations. Based on statistical and multiple criteria analysis across 169 nations, our outcomes introduce a connection between a nation’s success, its number of Web of Science articles published, and its frequency of citation on AFFECT recognition. The principal conclusions present how this research contributes to the big picture in the field under analysis and explore forthcoming study trends.

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A Multisensory, Green, and Energy Efficient Housing Neuromarketing Method

Cited by 5 publications

References 90 publications

Internet and Biometric Web Based Business Management Decision Support

Internet and Biometric Web Based Business Management Decision Support

What Do You Need to Know? A Systematic Review and Research Agenda on Neuromarketing Discipline

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

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