一个有说服力的机器人，减轻了与智能手机相关的内生干扰

IF 4.2 Q2 ROBOTICS ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580097

Hanyang Hu, Mengyu Chen, Ruhan Wang, Yijie Guo

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引用次数: 0

摘要

智能手机的内生干扰已经在很多方面影响了人们的日常生活，尤其是在灯下的学习和工作场景。为了减轻这种情况，我们制造了一个机器人，它可以通过增加你桌子上的灯的特定姿势和光线来说服你。本文将介绍我们的设计考虑和第一个原型，以展示通过机器人减轻人们内生干扰的可能性。

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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A Persuasive Robot that Alleviates Endogenous Smartphone-related Interruption

The endogenous interruptions of smartphones have impacted people's everyday life in many aspects, especially in the study and work scene under a lamp. To mitigate this, we make a robot that could persuade you intrinsically by augmenting the lamp on your desk with specific posture and light. This paper will present our design considerations and the first prototype to show the possibility of alleviating people's endogenous interruptions through robots.

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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.