SGER: Disagreeing Robots

SGER：不同意的机器人

• 批准号: 0746109
• 负责人: Clifford Nass
• 金额: $ 9.11万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0746109&HistoricalAwards=false
• 关键词: SGER; Disagreeing; Robots

The traditional vision of human-robot interaction is that the machines will be fully cooperative partners. Correspondingly, issues of robot disagreement have never been explored. Using a variable-based approach, the effects of robot autonomy, robot form, and robot politeness strategies on human behaviors and attitudes will be empirically tested. Behavior measures will include performance, physiological responses, and memory. Attitudinal measures will include affective responses as well as various assessments of the robot. Results will enable the discovery of which aspects of human-human interaction apply directly to human-robot interaction, and which aspects are different with respect to performance, memory, and attitudes. This exploratory research project will seek to empirically identify features of robots that influence humans' responses to robots' expressions of disagreement. Results are expected to identify strategies to facilitate the resolution of conflicts between humans and robots. While there are models of human-human disagreement, it is unknown which of these models will be applicable to human-robot interaction. This is an important exploratory area to pursue given that in many contexts, such as space exploration and colonization, rehabilitation, and complex manufacturing, the robot must express disagreement with the human, a highly-charged situation. This research will provide initial answers to the following critical questions: 1) which strategies of disagreement will be most effective and most palatable to human interaction partners? and 2) which characteristics of robots will most effectively enable the situation to be one of joint understand rather than pure conflict? It is expected that findings will enable researchers to create and study robots that are better able to coordinate with humans and assist humans in reaching their goals as well as reveal the ways in which robots can induce social responses to technology.

对人机交互的传统看法是，机器将是完全合作的伙伴。相应地，机器人分歧的问题从未被探讨过。采用基于变量的方法，对机器人自主性、机器人形态和机器人礼貌策略对人类行为和态度的影响进行实证检验。行为测量将包括表现、生理反应和记忆。态度测量将包括情感反应以及对机器人的各种评估。结果将有助于发现人机交互的哪些方面直接适用于人机交互，哪些方面在性能、记忆和态度方面是不同的。这个探索性研究项目将寻求经验识别机器人的特征，这些特征会影响人类对机器人表达不同意见的反应。结果有望确定促进解决人类和机器人之间冲突的策略。虽然存在人类分歧的模型，但尚不清楚这些模型中哪些将适用于人机交互。这是一个重要的探索领域，因为在许多情况下，如太空探索和殖民、康复和复杂制造，机器人必须表达与人类的不同意见，这是一个高度紧张的情况。这项研究将为以下关键问题提供初步答案：1)哪种不同意的策略对人类互动伙伴来说是最有效和最容易接受的？2)机器人的哪些特性将最有效地使情况成为一种共同理解而不是纯粹的冲突？预计这些发现将使研究人员能够创造和研究能够更好地与人类协调并帮助人类实现目标的机器人，并揭示机器人可以诱导对技术的社会反应的方式。