面向智能推荐的AI人机交互:研究热点及未来机会

AI Human-Computer Interaction of Intelligence Recommendation System: Frontier and Future Agenda

智能推荐已经成为人工智能(artificial intelligence,AI)学术研究和产业应用密切关注的研究问题。分析面向智能推荐的AI人机交互研究热点和未来机会,可更好地促进跨学科学者在该领域开展进一步的纵深和延展研究,了解用户视角下信息行为研究的最新进展。本文采用扎根文献综述方法,通过定义与检索研究问题、遴选文献集合、提取合成编码和分析结果展示4个分析环节,对64篇中英文文献进行分析综述,并分析了面向智能推荐场景的AI人机交互研究热点及未来机会。综述发现,研究热点聚焦在面向智能推荐的AI人机交互行为及影响、AI人机交互感知与情感表达以及AI人机交互场景与服务应用。未来研究可以围绕面向智能推荐的新型AI人机交互关系、AI人机交互形式、AI人机交互影响和AI人机交互设备展开,相关学者可以在上述4个方面开展纵深化和跨学科的协同研究。

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 humancomputer 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.