Mapping the intellectual landscape of artificial intelligence in consumer psychology

Mapping the intellectual landscape of artificial intelligence in consumer psychology
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In short: Researchers conducted a systematic review to map how artificial intelligence is currently being studied across marketing, consumer research, and psychology. By analyzing the existing literature, they identified eight major topical clusters, ranging from neural networks and machine learning to social media analytics and robotics. They also cataloged 412 different theoretical lenses used to understand these technologies.

This overview helps scholars understand how different fields share concepts, such as using game theory or theory of mind to explain AI behavior. The study used a data-driven, quantitative methodology including bibliographic coupling to structure the current state of the field.

A primary limitation of this research is that it summarizes existing literature rather than conducting new experiments, and the scope is limited to the specific intersection of marketing and psychology.

Why it matters: Understanding the cross-disciplinary theories used in AI research helps bridge the gap between technology and human behavior.

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