A Perspective on Human Interaction and Artificial Intelligence: Bibliometric Analysis with Co-occurrence Technique

This research delves into the complex dynamics of human-artificial intelligence interaction, a field that has been growing exponentially in recent years. This study is mixed-methods (quantitative-qualitative) research in the field of human interaction and artificial intelligence. It includes a methodical review of articles from the past five years in the Web of Science database to identify and understand the evolving dynamics in this field. The current research employed bibliometric analysis with a co-occurrence technique. After examining related theories, a conceptual model corresponding to co-occurrence clusters is presented. The article provides an integrated analysis that identifies artificial intelligence and its interaction with humans, and its relationship to perception, technology acceptance, behavior, and satisfaction. It offers an overview of human-artificial intelligence interaction studies' current state and prospects. The findings of this study indicated a significant shift towards human-centered artificial intelligence, emphasizing the importance of cognitive and social dimensions in the design and implementation of artificial intelligence systems. These insights are invaluable to researchers and designers of enterprise systems who aim to align AI advancements with human-centered approaches and ensure that AI advancements are in harmony with human needs and values.