机器人支持的信息搜索:儿童更喜欢哪种会话交互方式?

IF 4.2 Q2 ROBOTICS ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580128

Suyash Sharma, T. Beelen, K. Truong

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引用次数: 0

摘要

通过机器人语音搜索可以更好地支持儿童表达他们的信息需求。我们报告了一项探索性研究，其中儿童(N=35)与使用不同交互风格的两个机器人一起完成搜索任务。一个系统提出封闭的是/否问题，更多的是系统驱动，而另一个系统使用开放式问题，更多的是用户驱动。我们通过问卷调查和半结构化访谈来研究儿童对这些互动方式的偏好和体验。我们发现在交互风格之间没有明显的偏好。然而，一些孩子报告了任务依赖的偏好。我们进一步报告了儿童对支持信息搜索的机器人交互风格的解释和推理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robot-Supported Information Search: Which Conversational Interaction Style do Children Prefer?

Searching via speech with a robot can be used to better support children in expressing their information needs. We report on an exploratory study where children (N=35) worked on search tasks with two robots using different interaction styles. One system posed closed, yes/no questions and was more system-driven while the other system used open-ended questions and was more user-driven. We studied children's preferences and experiences of these interaction styles using questionnaires and semi-structured interviews. We found no overall strong preference between the interaction styles. However, some children reported task-dependent preferences. We further report on children's interpretation and reasoning around interaction styles for robots supporting information search.

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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.