Using Artificial Intelligence to Predict Consumer Emotions
DOI:
https://doi.org/10.33119/SIP.2019.173.7Keywords:
artificial intelligence, Internet marketing, consumerAbstract
This scientific paper discusses the deployment of artificial intelligence to predict consumer purchase behaviour. Its goal is to review possibilities of using artificial intelligence to predict emotions of consumers who shop online. Such predictions can be used to make product offers tailored to consumer needs. The paper begins with the examination of subject matter literature containing definitions of artificial intelligence. An original author´s interpretation of the term is also proposed. This part explains how electronically encoded consumer data can be obtained. Next, the text describes how artificial intelligence is used in predicting consumer purchase preferences and to generate tailor-made product offers. As a result, a process is proposed geared towards matching a particular product offer with a consumer based on data concerning consumer emotions and artificial intelligence solutions. The process can be seen as an introduction to further studies in this area.
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References
2. Brandys J. [2016], Marketing doświadczeń – założenia i perspektywy, „Zeszyty Naukowe Wyższej Szkoły Zarządzania i Bankowości w Krakowie”, nr 42, s. 13–22.
3. Govoni N. A. [2004], Dictionary of Marketing Communications, Sage, USA.
4. Iyengar S. S., Lepper M. R. [2000], When Choice is Demotivating: Can One Desire Too Much of a Good Thing?, „Journal of Personality and Social Psychology”, vol. 79, no. 6, s. 995–1006.
5. Kietzmann J., Paschen J., Treen E. [2018], Artificial Intelligence in Advertising: How Marketers Can Leverage Artificial Intelligence Along the Consumer Journey, „Journal of Advertising
Research”, vol. 58, no. 3, s. 264.
6. Kwaśnik Z., Żukow W. [2009], Aktualne wyzwania ekonomii, Radomska Szkoła Wyższa, Radom.
7. Lazer D., Pentland A., Adamic L., Aral S., Barabasi A. L., Brewer D., Christakis N., Contractor N., Fowler J., Gutmann M., Jebara T., King G., Macy M., Roy D., Van Alstyne, M. [2009],
Life in The Network: The Coming Age of Computational Social Science, „Science”, vol. 323, no. 5915, s. 721–723.
8. Matz S. C., Gladstone J. J., Stillwell D. [2016], Money Buys Happiness When Spending Fits Our Personality, „Psychological Science”, vol. 27, no. 5, s. 715–725.
9. Nilsson.J. [2014], Principles of Artificial Intelligence, Morgan Kaufmann, Palo Alto.
10. Pujer K. [2016], Informatyka i marketing w organizacjach. Teoria i praktyka, Exante, Wrocław.
11. Schalkoff R. J. [1990], Artificial Intelligence: An Engineering Approach, McGraw-Hill Education, USA.
12. Unluturk M. S., Kaya O., Coskun A. [2009], Emotion Recognition Using Neural Networks, Proceedings of the 10th WSEAS International Conference on Neural Networks, Izmir.
13. Vesanen J., Raulas M. [2006], Building Bridges for Personalization: A Process Model for Marketing, „Journal of Interactive Marketing (John Wiley & Sons)”, vol. 20, no. 1, s. 5–20.
14. Vogelsang M. [2010], Digitalization in Open Economies: Theory and Policy Implications, Physica-Verlag, Wuppertal.
Materiały internetowe
1. DeVault G., Consumer Profile: Defining the Ideal Customer, www.thebalancesmb.com/consumer-profile-defining-the-ideal-customer-2296932 [dostęp 12.11.2018].
2. John McCarthy [2018], Elektroniczne muzeum komputerów, www.computerhistory.org/fellowawards/hall/john-mccarthy [dostęp 10.11.2018].
3. Marr B. [2017], The Next Frontier Of Artificial Intelligence: Building Machines That Read YourEmotions, www.forbes.com/sites/bernardmarr/2017/12/15/the-next-frontier-of-artificial-intelligence-building-machines-that-read-your-emotions [dostęp 17.11.2018].
4. McCarthy J. [2007], What is Artificial Intelligence?, jmc.stanford.edu/articles/whatisai/whatisai.pdf.
5. SAS Institute [2018], Artificial Intelligence: What It Is and Why it Matters, www.sas.com/en_nz/insights/analytics/what-is-artificial-intelligence.html [dostęp 18.09.2018].
6. www.britannica.com [dostęp 15.08.2018].
7. www.collinsdictionary.com [dostęp 02.10.2018].
8. www.encyklopedia.pwn.pl [dostęp 14.11.2018].
