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: $ 20万
• 依托单位: University of Washington
• 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
• 起止时间: 2008-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0842832&HistoricalAwards=false
• 关键词: HCC; SGER; Social; Moral; Interaction

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.

一类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。 这些机器人以不同的方式和不同的程度拥有人格，具有自适应性和自主性，可以交流，学习，使用自然提示和自我组织。 这种“拟人化”的机器人，将成为人们日常生活的一部分，形成了这项研究的重点，其中将探索一种新的方法来设计它们，建立在PI术语“交互模式”的概念基础上。通过交互模式，PI意味着人类和机器人之间社会交互的基本特征的表征，指定足够抽象，使得模式的许多不同实例可以在给定不同类型的机器人，目的和使用上下文的情况下唯一地实现。 当我们被介绍给一个新的人时，人类之间的互动模式发生了一个简单的例子。 在西方社会，我们经常握手，说“嗨”，交换我们的名字，也许还聊一聊天气。 在其他文化中，人们可能会互相鞠躬，或提供一个合十礼问候。 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交往。 虽然引言不会以完全相同的方式进行两次，但活动是有结构的，并遵循可识别的模式。 PI认为，这种模式只是可以用来帮助构建人机交互的许多模式之一。 在目前的项目中，PI将产生50-75种社会和道德互动模式。 他将详细说明设计交互模式的方法（其中，部分地，从人与人的互动和人与自然的互动中描述成功的互动模式），将阐明互动模式的抽象和具体化之间的最佳表征水平，将显示单个模式的多个实例（强调模式不是刚性的模具，但产生多种不同的实例），将实现技术上的一系列这些模式与实际的机器人，无论是自主或（更经常）通过“向导的盎司？技术，将为验证交互模式建立一套指导方针，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日本高级电信研究（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，公众可能会对将拟人化的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的设计议程，承认合理的社会关注，并展示我们如何用机器人“做正确的事”。