Robotics & Machine Learning Daily News2024,Issue(Jun.6) :37-38.

Research from Kyoto University Provides New Data on Robotics (Impact of politene ss and performance quality of android robots on future interaction decisions: a conversational design perspective)

京都大学的研究提供了机器人学的新数据(politene ss和android机器人性能质量对未来交互决策的影响:会话设计视角)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :37-38.

Research from Kyoto University Provides New Data on Robotics (Impact of politene ss and performance quality of android robots on future interaction decisions: a conversational design perspective)

京都大学的研究提供了机器人学的新数据(politene ss和android机器人性能质量对未来交互决策的影响:会话设计视角)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx编辑在日本京都的新闻报道,Rese Arch说,“尽管机器人被应用于现代社会的各种场合,但有些人回避它们,或者不喜欢与它们互动。”新闻记者从京都大学的研究中获得了一句话:“允许机器人与人适当互动的设计将给他们留下积极的印象,从而对机器人进行更好的评估,从而解决这个问题。为了建立这样的设计,本研究进行了两个场景实验,重点是机器人谈话的礼貌和Beha Vior,研究了机器人成功或轻微失败时所产生的印象。这两个实验表明,无论机器人是机器人还是人类,礼貌不仅影响了互动的印象,还影响了对下一次任务结果更好的期望。尽管礼貌对机器人agent偏好的影响小于对人类agent的影响,但人们更有可能再次与礼貌的机器人和人类agent互动,因为他们认为自己下次不会失败。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of Kyoto, Japan, by NewsRx editors, rese arch stated, “Despite robots being applied in various situations of modern socie ty, some people avoid them or do not feel comfortable interacting with them.” The news reporters obtained a quote from the research from Kyoto University: “De signs that allow robots to interact appropriately with people will make a positi ve impression on them resulting in a better evaluation of robots, which will sol ve this problem. To establish such a design, this study conducted two scenario-b ased experiments focusing on the politeness of the robot’s conversation and beha vior, and examined the impressions caused when the robot succeeds or slightly fa ils at a task. These two experiments revealed that regardless of whether the par tner is a robot or a human, politeness not only affected the impression of inter action but also the expectations for better task results on the next occasion. A lthough the effect of politeness on preference toward robot agents was smaller t han those toward human agents when agents failed a task, people were more likely to interact with polite robots and human agents again because they thought that they would not fail the next time.”

Key words

Kyoto University/Kyoto/Japan/Asia/Em erging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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