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: $ 50万
• 依托单位: Yale University
• 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
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117801&HistoricalAwards=false
• 关键词: HCC; Small; Manipulating; Perceptions; Robot

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.

机器人正日益成为人类日常互动的一部分：它们吸尘、在医院送药、陪伴老人和残疾人。这个项目考察了人们与这些机器人互动的一个方面：机器人似乎是多么有意识和自我反思。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：该项目将带来感知机器人代理的新措施，以及关于人类如何与机器人合作的新知识。研究结果将告诉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们的机器人。更广泛的影响：该项目将提供一种新的代理定量测量方法，可用于人机交互和相关学科，并提供新的信息，可以告知如何在人机交互设计中对代理进行建模，特别是在代理识别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。该项目还将为研究机构的研究生和本科生提供跨学科的研究服务。