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Empowering marketing management and gaming  consumer interaction through AI and citizen  science
Conference proceeding   Open access   Peer reviewed

Empowering marketing management and gaming consumer interaction through AI and citizen science

Celestine Iwendi, Chatti Subbalakshmi, Bala Dhandayuthapani Veerasamy, Paul Hollins, Damilare Adeola, Pradeep Hewage, Adedapo Paul Aderemi and Piyush Kumar Shukla
2024 IEEE Gaming, Entertainment, and Media Conference (GEM)
IEEE CTSoc Gaming, Entertainment and Media conference - IEEE GEM 2024 (Turin (Torino) Italy, 05/06/2024–07/06/2024)
11/07/2024

Abstract

Artificial Intelligence, Consumer Interaction, Dynamic Pricing, Marketing Management, Natural Language Processing, Neural Networks, Predictive Analytics, Revolutionize, Games, Sentiment Analysis.
There has been a significant revolution seen by AI getting incorporated into the management and customer relations of companies. The research of the present Artificial Intelligence (AI) Revolution that influences a variety of fields i.e. video games are the topic of the article. AI systems such as machine learning and data analytics can help brands understand consumer behaviour in much greater detail; hence, companies can better reach and interest potential consumers through personalized marketing plans and campaigns. What is more, this is another case of citizen science projects that can host a large number of artisanal anglers who can together provide data that can make the research wider-reaching. This is when the conclusion is reached, which means, for gaming neither marketing nor game-play is the energy source. The proposed scheme improves the level of customer accuracy and tackles trends timely as well as creates slight space for real-time communication by applying neighbour-based recommendation techniques, neural networks, and sentiment analysis. Its supremacy over the conventional methods of statistical significance is highlighted through the advent of predictive analytics and dynamic pricing approaches. The advantage of deploying natural language processing (NLP) is that it helps to understand what the customers mean with how they write. Measuring the key performance indicators at the end of this approach can be called the method of adaptation and flexibility which makes digital marketing not just refer only the success but also turn to the happiness of customers.
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