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2023 | z. 186 W kierunku przyszłości zarządzania | 239--253
Tytuł artykułu

The Application of Eye Tracking and Artificial Intelligence in Contemporary Marketing Communication Management

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Paper aims to fill the cognitive gap regarding the role, importance and potential of integrating eye tracking research and artificial intelligence. The main goal of the work was to design a proposal for the synergistic use of eye tracking and artificial intelligence for marketing communication management. Design/methodology/approach: To achieve the planned goal and answer the research questions, methods of systematic literature review, online content analysis, expert interviews and pilot eye tracking studies using the Gazepoint GP3 device and Gazepoint Analysis V6.9.0 software were used. The considerations are conducted in the field of behavioral economics. Findings: During the discussion and analysis of various aspects related to the use of eye tracking, artificial intelligence and neuro research in the context of marketing communication management, the following was established: the importance, applications and synergy of eye tracking and AI in marketing communication; the future of new technologies in marketing; key benefits, challenges and potential of the tools discussed, with particular emphasis on the need for their responsible use along with continuous development in this field. Research limitations/implications: Suggestions for future research on the issues discussed include: ethics and privacy; technological limitations; future dynamics changes. Suggestions for future research include broader analysis of user experience, integration of methods with other technologies, longitudinal research on the impact of AI-generated content personalization, measurement of consumers' emotional engagement. The indicated research areas may contribute to better use of technology in marketing and expand knowledge about non- declarative consumer behavior. Originality/value: The value of the article lies in providing conclusions and practical recommendations as well as identifying areas for further research, which may contribute to a better understanding and use of eye tracking, AI and neuro research in the field of marketing. The entire research project allowed for the design of a proposal for the synergistic use of eye tracking and artificial intelligence for marketing communication management. The article may be valuable for marketing specialists, researchers, students and people interested in the use of modern technologies in marketing. Thanks to its comprehensive perspective, it can be a guide for people interested in introducing these technologies into marketing practice. (original abstract)
Twórcy
autor
  • AGH University of Science and Technology Kraków, Poland
Bibliografia
  • 1. Bear, M.F., Connors, B.W., Paradiso, M.A. (2016). Neuroscience: Exploring the Brain. USA: Wolters Kluwer.
  • 2. Chen, Y., Liu, H. (2021). Integrating Eyetracking Data and Artificial Intelligence for Dynamic Ad Personalization. Computers in Human Behavior, Vol. 10, Iss. 2, pp. 317-331, doi: 10.1016/j.foar.2021.01.002.
  • 3. Czakon, W. (2011). Metodyka systematycznego przeglądu literatury. Przegląd Organizacji, No. 3, pp. 57-61, doi: 10.33141po.2011.03.13.
  • 4. Duchowski, A. (2017). Eye Tracking Methodology: Theory and Practice. Springer.
  • 5. Holmqvist, K., Nyström, M., Andersson, R. (2011). Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford University Press.
  • 6. Lee, N., Chamberlain, L. (2007). Neuroimaging and Psychophysiological Measurement in Neuromarketing Research: A Systematic Review. International Journal of Psychophysiology, Vol. 63, No. 2, pp. 159-168.
  • 7. Lee, S., Park, J. (2018). Enhancing Customer Experience through Eyetracking and Machine Learning: A Case Study in Online Retail. Journal of Interactive Marketing, Vol. 43, pp. 123-137.
  • 8. Patel, R., Gupta, M. (2019). Application of Eyetracking and AI in Optimizing Website Design for E-commerce. Journal of Marketing Research, Vol. 55, No. 6, pp. 789-805.
  • 9. Plassmann, H., Ramsøy, T.Z., Milosavljevic, M. (2012). Brand Preferences: Neuroscientific Insights. Journal of Consumer Psychology, Vol. 22, No. 1, pp. 7-18.
  • 10. Purves, D., Augustine, G.J., Fitzpatrick, D. et al. (2018). Neuroscience. Oxford University Press.
  • 11. Russell, S., Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.
  • 12. Smith, A., Johnson, B. (2020). Eyetracking in Marketing: Recent Advances and Future Trends. Journal of Marketing Analytics, Vol. 8, No. 3, pp. 215-230.
  • 13. Wang, C., Li, X. (2019). The Role of Artificial Intelligence in Personalized Marketing: Opportunities and Challenges. International Journal of Information Management, Vol. 49, pp. 22-35.
  • 14. Wieczorkowski, J., Pawełoszek, I., Chomiak-Orsa, I. (2022). Big data w marketingu - narzędzie doskonalenia relacji z klientami. Marketing i Rynek, pp. 3-9.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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