Neuromarketing and Metaverse

Mehrbakhsh Nilashi, Rabab Ali Abumalloh

Abstract


By providing insights into how users behave and respond in virtual environments, neuromarketing can help optimize the user experience in the metaverse. Users' brains will process the experience differently when interacting with virtual environments than when interacting with the physical world. Understanding how users react to various aspects of the metaverse, such as virtual advertisements, branding, and product placement, can be aided by neuromarketing. Neuromarketing can help improve the metaverse user experience by measuring brain activity and emotional responses to various elements of the virtual environment using EEG (electroencephalography) or fMRI (functional magnetic resonance imaging). This data can be used to determine which aspects of the metaverse are most engaging and appealing to users, and which may need to be improved. Neuromarketing can also be used to improve the design and placement of virtual advertisements and product placements. Designers and marketers can create more effective and engaging virtual experiences that keep users coming back for more by understanding how the brain responds to these elements. Overall, neuromarketing can help designers and marketers create more effective virtual experiences by providing valuable insights into user behavior and emotional responses in the metaverse. Neuromarketing will become an increasingly important tool for optimizing the user experience and driving engagement in virtual environments as the metaverse grows and evolves.


Keywords


Neuromarketing, Metaverse, Neuroscience, Virtual Environments, Customer Preferences, Product Design

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Abstract

References


Ahani, A., Nilashi, M., Ibrahim, O., Sanzogni, L., Weaven, S., 2019a. Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews. International Journal of Hospitality Management 80, 52-77.

Ahani, A., Nilashi, M., Yadegaridehkordi, E., Sanzogni, L., Tarik, A.R., Knox, K., Samad, S., Ibrahim, O., 2019b. Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels. Journal of Retailing and Consumer Services 51, 331-343.

Ahani, A., Nilashi, M., Zogaan, W.A., Samad, S., Aljehane, N.O., Alhargan, A., Mohd, S., Ahmadi, H., Sanzogni, L., 2021. Evaluating medical travelers’ satisfaction through online review analysis. Journal of Hospitality and Tourism Management 48, 519-537.

Ahmadi, N., Nilashi, M., Minaei-Bidgoli, B., Farooque, M., Samad, S., Aljehane, N.O., Zogaan, W.A., Ahmadi, H., 2022. Eye State Identification Utilizing EEG Signals: A Combined Method Using Self-Organizing Map and Deep Belief Network. Scientific Programming 2022.

Ariely, D., Berns, G.S., 2010. Neuromarketing: the hope and hype of neuroimaging in business. Nature reviews neuroscience 11(4), 284-292.

Bolger, R.K., 2021. Finding wholes in the metaverse: Posthuman mystics as agents of evolutionary contextualization. Religions 12(9), 768.

Di Pietro, R., Cresci, S., 2021. Metaverse: security and privacy issues, 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA). IEEE, pp. 281-288.

Fugate, D.L., 2008. Marketing services more effectively with neuromarketing research: a look into the future. Journal of services marketing.

Gadalla, E., Keeling, K., Abosag, I., 2013. Metaverse-retail service quality: A future framework for retail service quality in the 3D internet. Journal of Marketing Management 29(13-14), 1493-1517.

Gursoy, D., Malodia, S., Dhir, A., 2022. The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions. Journal of Hospitality Marketing & Management 31(5), 527-534.

Hensel, D., Iorga, A., Wolter, L., Znanewitz, J., 2017. Conducting neuromarketing studies ethically-practitioner perspectives. Cogent Psychology 4(1), 1320858.

Hsu, M., 2017. Neuromarketing: inside the mind of the consumer. California management review 59(4), 5-22.

Joy, A., Zhu, Y., Peña, C., Brouard, M., 2022. Digital future of luxury brands: Metaverse, digital fashion, and non‐fungible tokens. Strategic change 31(3), 337-343.

Mansor, A.A., Isa, S.M., 2020. Fundamentals of neuromarketing: what is it all about? Neuroscience Research Notes 3(4), 22-28.

Nilashi, M., Ahmadi, H., Arji, G., Alsalem, K.O., Samad, S., Ghabban, F., Alzahrani, A.O., Ahani, A., Alarood, A.A., 2021. Big social data and customer decision making in vegetarian restaurants: A combined machine learning method. Journal of Retailing and Consumer Services 62, 102630.

Nilashi, M., Samad, S., Ahmadi, N., Ahani, A., Abumalloh, R.A., Asadi, S., Abdullah, R., Ibrahim, O., Yadegaridehkordi, E., 2020a. Neuromarketing: a review of research and implications for marketing. Journal of Soft Computing and Decision Support Systems 7(2), 23-31.

Nilashi, M., Yadegaridehkordi, E., Samad, S., Mardani, A., Ahani, A., Aljojo, N., Razali, N.S., Tajuddin, T., 2020b. Decision to adopt neuromarketing techniques for sustainable product marketing: a fuzzy decision-making approach. Symmetry 12(2), 305.

Perrachione, T.K., Perrachione, J.R., 2008. Brains and brands: Developing mutually informative research in neuroscience and marketing. Journal of Consumer Behaviour: An International Research Review 7(4‐5), 303-318.

Roudposhti, V.M., Nilashi, M., Mardani, A., Streimikiene, D., Samad, S., Ibrahim, O., 2018. A new model for customer purchase intention in e-commerce recommendation agents. Journal of International Studies 11(4).

Yadegaridehkordi, E., Nilashi, M., Nasir, M.H.N.B.M., Momtazi, S., Samad, S., Supriyanto, E., Ghabban, F., 2021. Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques. Technology in Society 65, 101528.


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