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Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)
Journal of Computer-Mediated Communication ( IF 5.4 ) Pub Date : 2020-01-14 , DOI: 10.1093/jcmc/zmz026
S Shyam Sundar 1
Affiliation  

Advances in personalization algorithms and other applications of machine learning have vastly enhanced the ease and convenience of our media and communication experiences, but they have also raised significant concerns about privacy, transparency of technologies and human control over their operations. Going forth, reconciling such tensions between machine agency and human agency will be important in the era of artificial intelligence (AI), as machines get more agentic and media experiences become increasingly determined by algorithms. Theory and research should be geared toward a deeper understanding of the human experience of algorithms in general and the psychology of Human–AI interaction (HAII) in particular. This article proposes some directions by applying the dual-process framework of the Theory of Interactive Media Effects (TIME) for studying the symbolic and enabling effects of the affordances of AI-driven media on user perceptions and experiences.

中文翻译:

机器代理的兴起:研究人类与AI互动的心理学框架(HAII)

个性化算法的进步和机器学习的其他应用极大地提高了我们的媒体和通信体验的便利性,但同时也引起了人们对隐私,技术透明性以及对其操作的人为控制的关注。展望未来,在机器学习和人工代理之间解决这种紧张关系在人工智能(AI)时代将非常重要,因为机器获得了更多的代理,并且越来越多的算法决定了媒体体验。理论和研究应针对一般算法的人类经验,尤其是人类与AI交互的心理学(HAII),加深理解。
更新日期:2020-04-17
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