Robotics & Machine Learning Daily News2024,Issue(Jun.7) :116-117.

New Robotics Research from Carnegie Mellon University Outlined (Perceptions of a Robot that Interleaves Tasks for Multiple Users)

卡内基梅隆大学的新机器人研究概述(对机器人为多个用户交错任务的看法)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :116-117.

New Robotics Research from Carnegie Mellon University Outlined (Perceptions of a Robot that Interleaves Tasks for Multiple Users)

卡内基梅隆大学的新机器人研究概述(对机器人为多个用户交错任务的看法)

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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 e Ditors在宾夕法尼亚州匹兹堡的新闻报道,研究表明,“当机器人有多项任务要执行时,他们必须确定完成这些任务的顺序。”新闻记者从卡内基梅隆大学的研究中获得了一句话:“交错任务对试图完成待办事项清单的机器人来说是有效的,但对于由于日程效率而延迟请求的人来说,它可能不那么令人满意。在网上研究了各种动机的延迟[4,27]之后,我们创建了TW O现场研究,参与者的任务受到机器人任务的影响。参与者要么要求机器人代表他们完成任务,要么观看机器人为他人完成任务。我们测量了他们的观点是如何变化的,这取决于他们的任务完成是由于另一个参与者的任务而延迟,还是他们在没有自己任务的情况下进行观察。参与者让一个机器人带他们走到一座大厦,当机器人绕道到另一个地方时,他们的反应会被推迟。我们测量了人们对机器人的看法随谁要求绕道任务和绕道的长度而变化的程度。

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 Pittsburgh, Pennsylvania, by NewsRx e ditors, research stated, “When robots have multiple tasks to perform, they must determine the order in which to complete them.” The news reporters obtained a quote from the research from Carnegie Mellon Unive rsity: “Interleaving tasks is efficient for the robot trying to finish its to-do list, but it may be less satisfying for a human whose request was delayed in fa vor of schedule efficiency. Following online research that examined delays with various motivations [4, 27], we created tw o in-person studies in which participants’ tasks were impacted by the robot’s ot her tasks. In the first, participants either requested a task for the robot to c omplete on their behalf or watched the robot performing tasks for other people. We measured how their opinions changed depending on whether their task’s complet ion was delayed due to another participant’s task or they were observing without a task of their own. In the second, participants had a robot walk them to an of fice and became delayed as the robot detoured to another location. We measured h ow opinions of the robot changed depending on who requested the detour task and the length of the detour.”

Key words

Carnegie Mellon University/Pittsburgh/Pennsylvania/United States/North and Central America/Emerging Technologies/M achine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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