AI Human-Computer Interaction of Intelligence Recommendation System: Frontier and Future Agenda
Wang Xiwei1,2,3, Wuji Siguleng1, Liu Yutong1, Luo Ran1
1.School of Business and Management, Jilin University, Changchun 130022 2.Research Center for Big Data Management, Jilin University, Changchun 130022 3.Research Center of Cyberspace Governance, Jilin University, Changchun 130022
Abstract In terms of academic research and industrial application of artificial intelligence (AI), intelligent recommendation (IR) has become a key research issue. Analysis of the AI human-computer interaction research frontier and future agenda for IR can better promote interdisciplinary scholars to conduct further in-depth and extended research in this field, and understand the latest progress of information behavior research from the perspective of users. This study adopts the grounded literature review method to analyze the literature from China National Knowledge Infrastructure, Web of Science, and Association for Computing Machinery databases. A total of 64 documents were rigorously and effectively selected by defining and searching research questions, selecting document collections, selecting coding, and displaying results. The aforementioned research frontier and future agenda are comprehensively analyzed. The research frontier focuses on AI human-computer interaction behavior and influence for IR, perception and emotion expression, and scenes and service applications. In the future, scholars can conduct in-depth and interdisciplinary collaborative research around four aspects: new AI human-computer interaction relationship, form, influence, and equipment for IR.
Wang Xiwei,Wuji Siguleng,Liu Yutong, et al. AI Human-Computer Interaction of Intelligence Recommendation System: Frontier and Future Agenda[J]. 情报学报, 2023, 42(4): 495-509.
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