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

基本信息

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

项目摘要

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.

机器人正在成为人们生活中越来越普遍的改进。他们辅导学生、帮忙做家务、在工厂工作等等。为了使机器人技术发挥最大作用，了解人们如何与其进行最佳互动非常重要。在这个项目中，研究人员应用社会心理学和群体动力学理论来改善人机协作。先前的研究表明，人类与他们视为队友的机器人（称为“内群体”）合作比与他们视为对手的机器人（称为“外群体”）合作得更好。然而，内群体和外群体都是社会类别，目前尚不清楚机器人必须表现出怎样的社交行为才能从内群体偏爱中受益。相反，不确定非社交机器人是否可以避免被视为外群体成员的缺点。在这个项目中，研究人员将加深对这些关键因素的理解，并将其应用于现实世界的人类机器人团队，例如建筑团队。这将促进心理科学的进步，展示心理群体动力学原理扩展到非社会主体的程度以及这些原理何时失效。研究结果将产生机器人设计建议，以改善人机协作。例如，这项研究可能表明，当机器人行为一致时，人类和类机器机器人可以最有效、最顺利地一起工作。为了检查群体间人机交互，研究人员将建立合作和竞争环境，以引发群体效应并确定机器人必须有多社交才能被视为群体内或群体外的成员（研究 1）。然后，研究人员将确定社会群体原则，例如机器人群体的实体性（凝聚力），是否会影响与机器人群体的互动，即使机器人是非社会性的（与现实世界中工厂制造的建筑机器人类似；研究 2）。由于人类群体会与机器人互动（例如，家庭成员与家庭机器人、建筑工人互动），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）。由于群体比个人更具竞争力，研究人员将在与机器人进行群体互动之前检查与机器人的一对一接触，以减少对机器人的偏见（研究 4）。最后，研究人员将把研究 1-4 的研究成果应用到现实世界，并与工程学院的合作者一起引入建筑机器人（研究 5）。这项研究将为理解人机交互中的群体动力学奠定基础。根据研究结果，研究人员将提供有关哪种机器人形态和群体内行为最适合群体间互动的设计建议。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

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：
2021-03
期刊：
Not in my house!: Children Playing an Online Game with Robots Show Low Trust and Closeness with Ingroup Robots.
影响因子：
0
作者：
Rheman, Jennifer;Fraune, Marlena R.
通讯作者：
Fraune, Marlena R.

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：
2021-03
期刊：
Workshop YOUR Study Design! Participatory Critique and Refinement of Participants' Studies
影响因子：
0
作者：
Fraune, Marlena R.;Karatas, Nihan;Leite, Iolanda
通讯作者：
Leite, Iolanda

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

DOI：
3371382.3378381
发表时间：
2020-03
期刊：
Human-Robot Interaction
影响因子：
0
作者：
Fraune; M. R.
通讯作者：
M. R.

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

通过虚拟无人机搜索游戏为人类无人机团队开发未来可穿戴接口

DOI：
10.1016/j.ijhcs.2020.102573
发表时间：
2021-03
期刊：
International Journal of Human-Computer Studies
影响因子：
5.4
作者：
Fraune, Marlena R.;Khalaf, Ahmed S.;Zemedie, Mahlet;Pianpak, Poom;NaminiMianji, Zahra;Alharthi, Sultan A.;Dolgov, Igor;Hamilton, Bill;Tran, Son;Toups, Z.O.
通讯作者：
Toups, Z.O.

Together We can Figure It out: Groups Find Hospitality Robots Easier to Use and Interact With Them More than Individuals

我们可以共同解决这个问题：团体发现酒店机器人比个人更易于使用和互动