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HCC: Small: Manipulating Perceptions of Robot Agency

HCC: Small: Manipulating Perceptions of Robot Agency
HCC:小:操纵对机器人机构的看法
批准号:
1117801
负责人:
Brian Scassellati
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2014-08-31

项目摘要

项目成果

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中文摘要
翻译
机器人正日益成为人类日常互动的一部分:它们清扫地板,在医院送药,并为老年人和残疾人提供陪伴。这个项目研究了人们与这些机器人互动的一个方面:机器人的意图和自我反思的程度。由于机器人的感知代理会影响人们与机器人互动的许多方面,因此了解机器人设计的特征(如其行为和认知能力)如何影响代理的感知是很重要的。 这个问题是通过一系列的实验室实验来解决的,这些实验操纵行为和认知能力,并测量归因于社交互动机器人的代理程度。智力价值:该项目将导致感知机器人代理的新措施和关于人如何与机器人合作的新知识。研究结果将为工程师如何构建机器人、人工智能研究人员如何概念化行为架构以及设计师如何设计交互以生产以简单方式吸引人的机器人提供信息。该项目将提供一个新的定量测量机构,可用于人机交互和相关学科和新的信息,可以告知如何代理建模的设计,机器人互动,特别是在承认代理是主要因素的情况下。 研究结果将用于改善社交缺陷儿童的社交辅助机器人。该项目还将加强研究机构为研究生和本科生提供的跨学科研究。
英文摘要
Robots are increasingly becoming a part of daily human interactions: They vacuum floors, deliver medicine in hospitals, and provide company for elderly and disabled individuals. This project examines one aspect of people's interactions with these robots: how intentional and self-reflective the robot seems to be. Because the perceived agency of a robot affects many dimensions of people's interactions with that robot, it is important to understand how features of robot design, such as its behavior and cognitive abilities, affect perceptions of agency. This question is addressed through a series of laboratory experiments that manipulate behavior and cognitive abilities and measure the degree of agency attributed to socially interactive robots.Intellectual merit: The project will lead to new measures of perceived robot agency and new knowledge about how people collaborate with robots. The results will inform how engineers construct robots, how artificial intelligence researchers conceptualize behavioral architectures, and how designers craft interactions to produce robots that engage people in simple ways.Broader impacts: The project will provide a new quantitative measurement of agency that can be used in human-robot interaction and related disciplines and new information that can inform how agency is modeled in the design of human-robot interactions, especially in situations where recognition of agency is a primary factor. The outcomes will be used to improve socially assistive robotics for children with social deficits. The project will also enhance interdisciplinary research offerings for graduate and undergraduate students at the investigators' institution.
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