课题基金 / 基金详情

HCC-SGER: Social and Moral Interaction Patterns with a Personified Robot

HCC-SGER: Social and Moral Interaction Patterns with a Personified Robot
HCC-SGER:与拟人机器人的社会和道德互动模式
批准号:
0842832
负责人:
Peter Kahn
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2010-08-31

项目摘要

项目成果

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中文摘要
翻译
一种类型的机器人已经开始从科幻小说的页面转移到研究实验室,甚至进入整个社会。这些机器人,在不同的方式和不同的程度上,有一个角色,是适应和自主的,可以沟通,学习,使用自然的线索,并自我组织。这种“拟人化”机器人将成为人们日常生活的一部分,成为本研究的重点,其中将探索一种新的设计方法,该方法建立在PI术语“交互模式”的概念之上。通过交互模式,PI意味着人与机器人之间的社会交互的基本特征的特征,足够抽象地指定,以便在给定不同类型的机器人、目的和使用上下文的情况下,可以唯一地实现模式的许多不同实例。人与人之间互动模式的一个简单例子发生在我们被介绍给一个新朋友的时候。在西方社会,我们经常握手,说“嗨”,交换我们的名字,也许还会聊一聊天气。在其他文化中,人们可能会互相鞠躬,或者互致合十礼。我们可以把这种普遍的社会活动称为“介绍”,其目的是促进进一步的社会互动。虽然介绍不会以完全相同的方式执行两次,但该活动是结构化的,并遵循可识别的模式。PI认为,这种模式只是许多可以用来帮助构建人机交互的模式之一。在目前的项目中,PI将生成50-75种社会和道德互动模式。他将指定一种设计交互模式的方法(部分地,从人类交互和人类自然交互中成功的交互模式的特征中提取),将阐明交互模式的抽象和具体化之间的最佳特征级别,将展示单个模式的多个实例(强调模式不是刚性模型,而是产生大量不同的实例),将使用实际的机器人在技术上实现这些模式的序列,或者是自主地,或者(更经常地)通过“wizard-of-oz”实现?技术,将建立一套验证交互模式的指导方针,最后将开始验证一些顺序模式。这些模式的技术实现和开始验证将使用来自日本先进电信研究(ATR)的人形机器人Robovie进行。更广泛的影响:如果PI的方法被证明是成功的,然后被其他实验室采用,它将重塑人机交互(HRI)研究界的现有格局。此外,在不久的将来,公众很可能会对将拟人化机器人引入现代社会提出严重的担忧;这项研究将提供一个积极主动的设计议程,认识到合理的社会关注,并展示我们如何用机器人“做得对”。
英文摘要
A genre of robots has begun to move from the pages of science fiction to the research laboratories, and even into society at large. These robots, in various ways and to varying degrees, have a persona, are adaptive and autonomous, and can communicate, learn, use natural cues, and self organize. Such "personified" robots, which will become part of people's everyday lives, form the focus of this research wherein a new approach to their design will be explored that builds on a concept the PI terms "interaction patterns." By an interaction pattern the PI means characterizations of essential features of social interaction between humans and robots, specified abstractly enough such that many different instantiations of the pattern can be uniquely realized given different types of robots, purposes, and contexts of use. A simple example of an interaction pattern between humans takes place when we are introduced to a new person. In Western society, we often shake hands, say "hi," exchange our names, and perhaps engage in a little chit-chat about the weather. In other cultures, people might bow to one another, or offer a namaste greeting. We can call this universal social activity an "Introduction" and its purpose is to facilitate further social interaction. While the Introduction is never enacted exactly the same way twice, the activity is structured and follows a recognizable pattern. The PI argues that this pattern is but one of many that can be used to help structure human-robot interaction. In the current project, the PI will generate between 50-75 social and moral interaction patterns. He will specify a methodology for designing interaction patterns (which, in part, draws from characterizing successful patterns of interaction in human-human interaction and human-nature interaction), will articulate the optimal levels of characterization between abstraction and concretization for interaction patterns, will show multiple instantiations of individual patterns (to highlight that patterns are not rigid molds but engender a multitude of varied instantiations), will implement technically a sequence of these patterns with an actual robot, either autonomously or (more often) through a "wizard-of-oz? technique, will establish a beginning set of guidelines for validating interaction patterns, and finally will begin to validate a handful of sequenced patterns. The technical implementation and beginning validation of the patterns will occur using the humanoid robot Robovie from Advanced Telecommunications Research (ATR) in Japan. Broader Impacts: If the PI's approach proves successful, and is then taken up by other laboratories, it will reshape the existing landscape in the human-robot interaction (HRI) research community. Furthermore, it is likely in the near future that the public will raise serious concerns about the introduction of personified robots into modern society; this research will provide a proactive design agenda that recognizes the legitimate societal concerns and shows how we can "do it right" with robots.
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WORKSHOP: The 2013 HRI Pioneers Workshop at the 2013 ACM/IEEE International Conference on Human-Robot Interaction
  • 批准号:
    1311610
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.46万
  • 财政年份:
    2013
  • 负责人:
    Peter Kahn
  • 依托单位:
EAGER: Augmenting Human Creativity Through Human-Robot Interaction
  • 批准号:
    1247690
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2012
  • 负责人:
    Peter Kahn
  • 依托单位:
HCC: Medium: Social and Moral Relationships With Personified Robots
  • 批准号:
    0905289
  • 项目类别:
    Standard Grant
  • 资助金额:
    $126.44万
  • 财政年份:
    2009
  • 负责人:
    Peter Kahn
  • 依托单位:
Cornell Topology Festival Support; 2003-2005
  • 批准号:
    0244361
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.7万
  • 财政年份:
    2003
  • 负责人:
    Peter Kahn
  • 依托单位:
海外基金