与机器对话:对话技术能否成为儿童的社交伙伴?

IF 5.1 1区 心理学 Q1 PSYCHOLOGY, DEVELOPMENTAL Child Development Perspectives Pub Date : 2022-12-30 DOI:10.1111/cdep.12475
Ying Xu
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引用次数: 2

摘要

与他人进行反复的对话对儿童早期的发展至关重要。传统上,儿童的对话伙伴是他们的父母、老师和同龄人,但人工智能的最新进展导致引入了能够理解人类语言并产生自然反应的机器,从而可以让儿童参与对话。随着这些技术在儿童的生活中变得越来越普遍,关于它们可能如何影响儿童发展的问题就出现了:儿童如何与对话技术互动、感知和学习?这些技术能否成为儿童的社交伙伴?在本文中,我详细介绍了我们对这些主题的了解,并讨论了对话技术对儿童不断变化的媒体环境的可能影响。我还建议研究议程可以解开儿童,他们的社会环境和对话技术之间复杂的相互作用。
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Talking with machines: Can conversational technologies serve as children's social partners?

Back-and-forth conversations with others are vital for children's development in the early years. While children's conversation partners have traditionally been their parents, teachers, and peers, recent advances in artificial intelligence have led to the introduction of machines that understand human speech and generate natural responses, and thus can engage children in conversations. As these technologies become increasingly ubiquitous in children's lives, questions arise as to how they might affect children's development: How do children interact with, perceive, and learn from conversational technologies? Can these technologies serve as children's social partners? In this article, I detail what we know about these topics and discuss the possible implications of conversational technologies for children's shifting media landscape. I also suggest research agendas that can unpack the complex interplay among children, their social contexts, and conversational technology.

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来源期刊
Child Development Perspectives
Child Development Perspectives PSYCHOLOGY, DEVELOPMENTAL-
CiteScore
11.90
自引率
1.60%
发文量
35
期刊介绍: Child Development Perspectives" mission is to provide accessible, synthetic reports that summarize emerging trends or conclusions within various domains of developmental research, and to encourage multidisciplinary and international dialogue on a variety of topics in the developmental sciences. Articles in the journal will include reviews, commentary, and groups of papers on a targeted issue. Manuscripts presenting new empirical data are not appropriate for this journal. Articles will be obtained through two sources: author-initiated submissions and invited articles or commentary. Potential contributors who have ideas about a set of three or four papers written from very different perspectives may contact the editor with their ideas for feedback.
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