CRII: CHS: Examining and applying robot sociality to enhance intergroup human-robot interaction

CRII：CHS：检查和应用机器人社交性以增强群体间人机交互

• 批准号: 1849591
• 负责人: Marlena Fraune
• 金额: $ 17.5万
• 依托单位: New Mexico State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1849591&HistoricalAwards=false
• 关键词: CRII; CHS; Examining; applying; robot

Robots are becoming increasingly common enhancements in people's lives. They tutor students, help around the house, work in factories, and more. For robotic technology to be the most helpful, it is important to learn how people best interact with it. In this project, the researchers apply theory of social psychology and group dynamics to improve human-robot teaming. Previous research has shown that humans work better with robots that they view as teammates (called 'ingroup') than robots that they view as opponents (called 'outgroup'). However, ingroup and outgroup are social categories, and it is not known how social a robot must behave to benefit from ingroup favoritism. Conversely, it is uncertain if nonsocial robots can avoid the drawbacks of being viewed as outgroup members. In this project, researchers will develop the understanding of these critical factors and apply them to real-world human-robot teams, such as for construction. This will promote the progress of psychological science, demonstrating how far principles of psychological group dynamics extend to nonsocial agents and when these principles break down. The results will lead to robot design recommendations to improve human-robot teaming. For example, this research might indicate that humans and machine-like robots can work most efficiently and smoothly together when the robots behave uniformly.To examine intergroup human-robot interaction, the researchers will set up cooperative and competitive contexts to elicit group effects and determine how social the robots must be to be treated like ingroup or outgroup members (Study 1). Then the researchers will determine if social group principles, such as entitativity (cohesiveness) of robot groups, affect interactions with them even when robots are nonsocial (paralleling factory-created construction robots in the real world; Study 2). Because human groups will interact with robots (e.g., family members interacting with a home robot, a construction crew), the researchers will examine how human group type (e.g., friend, coworker) affects responses toward the robots (Study 3). Because groups are more competitive than individuals, the researchers will examine one-on-one contact with robots before group interaction with them to reduce prejudice against them (Study 4). Finally, the researchers will apply their research findings from Studies 1-4 to the real world and the introduction of construction robots with their collaborators from the College of Engineering (Study 5). This research will lay the foundation for understanding group dynamics in human-robot interaction. Based on the findings, the researchers will provide design recommendations about what robot form and intragroup behavior will be best suited for intergroup interaction.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

机器人在人们的生活中越来越普遍。他们辅导学生，在房子周围提供帮助，工厂工作等等。为了使机器人技术成为最有用的技术，重要的是要了解人们如何最好地与之互动。在这个项目中，研究人员采用社会心理学和群体动态理论来改善人类机器人的团队。先前的研究表明，与他们认为是对手的机器人（称为“外部”）相比，人类在机器人方面的工作更好，他们将其视为队友（称为“ Ingroup”）。但是，群体和群体是社会类别，尚不清楚机器人必须如何行为从偏爱中受益。相反，不确定非社交机器人是否可以避免被视为外部成员的缺点。在这个项目中，研究人员将发展对这些关键因素的理解，并将其应用于现实世界中的人类机器人团队，例如建设。这将促进心理科学的进步，证明心理群体动力学的原则扩展到非社交代理以及这些原理何时崩溃。结果将导致机器人设计建议，以改善人机组合。例如，这项研究可能表明，当机器人行为统一时，人类和类似机器的机器人可以最有效，平稳地工作。为了检查群体间的人类机器人互动，研究人员将建立合作和竞争性的环境，以引起群体效应，并确定必须如何对机器人进行社会效果，例如INGROUP或INGROUP或OUTROUP OUTOUP成员（研究1）（研究1）。然后，研究人员将确定即使机器人是非社会的（现实世界中的工厂创建的施工机器人，诸如机器人群体的权利（凝聚力））是否会影响与他们的相互作用；研究2）。由于人类群体将与机器人（例如，与家用机器人，建筑人员互动）互动，因此研究人员将研究人类群体类型（例如，朋友，同事）如何影响对机器人的反应（研究3）。由于小组比个人更具竞争力，因此研究人员将在与机器人的互动之前对机器人进行一对一的接触，以减少对他们的偏见（研究4）。最后，研究人员将将其研究结果从研究1-4应用于现实世界，并与工程学院的合作者一起引入建筑机器人（研究5）。这项研究将为了解人类机器人相互作用的群体动态奠定基础。根据研究结果，研究人员将提供有关哪种机器人形式和组内行为最适合组间互动的设计建议。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛影响的评估标准来通过评估来获得支持的。

项目成果

Safety Blanket of Humanity: Thinking of Unfamiliar Humans or Robots Increases Conformity to Humans

人类的安全毯：思考不熟悉的人类或机器人会增加对人类的认同

• 发表时间: 2020
• 期刊: Human-Robot Interaction
• 作者: Fraune, M. R.

Developing Future Wearable Interfaces for Human-Drone Teams through a Virtual Drone Search Game

• DOI: 10.1016/j.ijhcs.2020.102573
• 发表时间: 2021-03-01
• 期刊: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
• 影响因子: 5.4
• 作者: Fraune, Marlena R.;Khalaf, Ahmed S.;Dugas, Phoebe O. Toups
• 通讯作者: Dugas, Phoebe O. Toups

Workshop YOUR Study Design! Participatory Critique and Refinement of Participants' Studies

研讨会您的学习设计！

• DOI: 10.1145/3434074.3444867
• 发表时间: 2021
• 期刊: Workshop YOUR Study Design! Participatory Critique and Refinement of Participants' Studies
• 作者: Fraune, Marlena R.;Karatas, Nihan;Leite, Iolanda
• 通讯作者: Leite, Iolanda

Not in my house!: Children Playing an Online Game with Robots Show Low Trust and Closeness with Ingroup Robots

不在我家！：与机器人一起玩在线游戏的孩子对群体内的机器人表现出较低的信任度和亲密感

• DOI: 10.1145/3434074.3447204
• 发表时间: 2021
• 期刊: Not in my house!: Children Playing an Online Game with Robots Show Low Trust and Closeness with Ingroup Robots.
• 作者: Rheman, Jennifer;Fraune, Marlena R.
• 通讯作者: Fraune, Marlena R.