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Towards Designing Companion Robots with the End in Mind 面向终端的同伴机器人设计
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580046
Waki Kamino
This paper presents an early-stage idea of using 'robot death' as an integral component of human-robot interaction design for companion robots. Reviewing previous discussions around the deaths of companion robots in real-life and popular culture contexts, and analyzing the lifelike design of current companion robots in the market, the paper explores the potential advantages of designing companion robots and human-robot interaction with their 'death' in mind.
本文提出了将“机器人死亡”作为伴侣机器人人机交互设计的一个组成部分的早期想法。回顾之前在现实生活和流行文化背景下关于伴侣机器人死亡的讨论,并分析当前市场上伴侣机器人的逼真设计,本文探讨了在设计伴侣机器人和人机交互时考虑到它们的“死亡”的潜在优势。
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引用次数: 0
The Robot Made Us Hear Each Other: Fostering Inclusive Conversations among Mixed-Visual Ability Children 机器人让我们彼此倾听:培养混合视觉能力儿童之间的包容性对话
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568162.3576997
Isabel Neto, Filipa Correia, Filipa Rocha, Patricia Piedade, Ana Paiva, Hugo Nicolau
Inclusion is key in group work and collaborative learning. We developed a mediator robot to support and promote inclusion in group conversations, particularly in groups composed of children with and without visual impairment. We investigate the effect of two mediation strategies on group dynamics, inclusion, and perception of the robot. We conducted a within-subjects study with 78 children, 26 experienced visual impairments, in a decision-making activity. Results indicate that the robot can foster inclusion in mixed-visual ability group conversations. The robot succeeds in balancing participation, particularly when using a highly intervening mediating strategy (directive strategy). However, children feel more heard by their peers when the robot is less intervening (organic strategy). We extend prior work on social robots to assist group work and contribute with a mediator robot that enables children with visual impairments to engage equally in group conversations. We finish by discussing design implications for inclusive social robots.
包容是小组工作和协作学习的关键。我们开发了一个调解机器人来支持和促进群体对话的包容性,特别是在有视力障碍和没有视力障碍的儿童组成的群体中。我们研究了两种调解策略对群体动力学、包容和机器人感知的影响。我们在决策活动中对78名儿童进行了研究,其中26名有视觉障碍。结果表明,机器人可以促进混合视觉能力群体对话的包容性。机器人成功地平衡了参与,特别是在使用高度干预的中介策略(指令策略)时。然而,当机器人较少干预时,孩子们更能感受到同伴的倾听(有机策略)。我们扩展了先前在社交机器人方面的工作,以协助小组工作,并贡献了一个调解机器人,使视力受损的儿童能够平等地参与小组对话。最后,我们将讨论包容性社交机器人的设计含义。
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引用次数: 4
Reactive Planning for Coordinated Handover of an Autonomous Aerial Manipulator 自主航空机械臂协调交接的反应性规划
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580055
Jérôme Truc, D. Sidobre, R. Alami
In this paper, we present a coordinated and reactive human-aware motion planner for performing a handover task by an autonomous aerial manipulator (AAM). We present a method to determine the final state of the AAM for a handover task based on the current state of the human and the surrounding obstacles. We consider the visual field of the human and the effort to turn the head and see the AAM as well as the discomfort caused to the human. We apply these social constraints together with the kinematic constraints of the AAM to determine its coordinated motion along the trajectory.
在本文中,我们提出了一个协调和反应的人类感知运动规划器,用于执行自主空中机械臂(AAM)的切换任务。我们提出了一种基于人的当前状态和周围障碍物来确定交接任务的AAM最终状态的方法。我们考虑了人的视野和努力转过头来看到AAM以及对人造成的不适。我们将这些社会约束与AAM的运动学约束结合起来确定其沿轨迹的协调运动。
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引用次数: 0
RoPi
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580198
Sebastian Caballa, David Lizano, Manuel Aranda, Diego Zegarra
Injury burns are traumatic events, especially for children. The use of combined pharmacological and non-pharmacological strategies in hospitals favor emotional experiences. However, in Latin American hospitals, which have low budgets, it is not possible to hire therapeutic support personnel, such as clowns, due to the lack of available human resources. RoPi is a social robot created to assist hospitalized children's emotional support through its multicolor interchangeable pieces and its interactive functions.
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引用次数: 0
Comparison of Attitudes Towards Robots of Different Population Samples in Norway 挪威不同人口样本对机器人的态度比较
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580151
Marten Bloch, Alexandra Fernandes
Acceptance of robots is known to be directly influenced by perceptions and attitudes potential users have of them. Particularly, negative attitudes can prevent that the implementations of robots unlock their full potential and ultimately fail if negative attitudes are not addressed. We employed the popular Negative Attitude Towards Robots Scale (NARS) across four different studies to assess how different populations in Norway perceive robots. All four included exposure to at least a robot. However, the setup of each individual study was different from the others. We summarized the results across study and made comparisons between the different samples. We also analyzed the effect of gender and age on attitude towards robots as measured by the NARS. The results indicate that there are significant differences between samples and that females score significantly higher than males, thus having a less favorable opinion of robots and potentially avoiding interaction with them. We touch upon possible explanations and implications of our results and highlight the need for more research into this topic.
众所周知,机器人的接受程度直接受到潜在用户对机器人的看法和态度的影响。特别是,消极的态度可能会阻止机器人发挥其全部潜力,如果不解决消极态度,最终会失败。我们在四项不同的研究中采用了流行的对机器人的消极态度量表(NARS)来评估挪威不同人群对机器人的看法。所有四种实验都至少接触了一个机器人。然而,每项研究的设置都是不同的。我们总结了整个研究的结果,并对不同样本进行了比较。我们还分析了性别和年龄对NARS测量的机器人态度的影响。结果表明,样本之间存在显著差异,女性得分明显高于男性,因此对机器人的看法不太好,并可能避免与机器人互动。我们谈到了可能的解释和我们的结果的含义,并强调需要对这个主题进行更多的研究。
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引用次数: 0
Carla - Making Transport Hubs Accessible 卡拉-使交通枢纽无障碍
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580204
A. Girish, Suchithra Selladurai, Vidhya Vidhya Sagar Murugan, Viboosithasri N S
Accessibility in transport hubs is indispensable for the upliftment of the social and economic spheres of persons with disabilities. Carla - a smart, autonomous personal assistant is proposed as an affordable solution to impart inclusivity in transport hubs. Carla can serve as a guide to the destination, an information kiosk and a luggage carrier. It is equipped with a rope guide and digital braille to serve people suffering from multi-sensory impairment. Carla can move to a modest push from the user - a novel feature introduced to enhance interaction. The system architecture and algorithm for autonomous navigation are also discussed. Finally, the interaction of Carla in a number of use cases are presented.
交通枢纽的无障碍对于提高残疾人的社会和经济地位是必不可少的。卡拉——一款智能、自主的个人助理,被提议作为一种经济实惠的解决方案,以实现交通枢纽的包容性。卡拉可以充当目的地的向导、信息亭和行李搬运工。它配备了绳导和数字盲文,为患有多种感官障碍的人服务。用户轻轻推一下,卡拉就会移动——这是一项增强交互的新功能。讨论了自主导航的系统结构和算法。最后,介绍了Carla在一些用例中的交互。
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引用次数: 0
Human-Robot Conversational Interaction (HRCI) 人机会话交互(HRCI)
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3579954
Donald Mcmillan, Razan N. Jaber, Benjamin R. Cowan, J. Fischer, Bahar Irfan, Ronald Cumbal, Nima Zargham, Minha Lee
Conversation is one of the primary methods of interaction between humans and robots. It provides a natural way of communication with the robot, thereby reducing the obstacles that can be faced through other interfaces (e.g., text or touch) that may cause difficulties to certain populations, such as the elderly or those with disabilities, promoting inclusivity in Human-Robot Interaction (HRI). Work in HRI has contributed significantly to the design, understanding and evaluation of human-robot conversational interactions. Concurrently, the Conversational User Interfaces (CUI) community has developed with similar aims, though with a wider focus on conversational interactions across a range of devices and platforms. This workshop aims to bring together the CUI and HRI communities through a one-day workshop to outline key shared opportunities and challenges in developing conversational interactions with robots, resulting in collaborative publications targeted at the CUI 2023 provocations track.
对话是人与机器人交互的主要方式之一。它提供了一种与机器人交流的自然方式,从而减少了通过其他界面(例如文本或触摸)可能对某些人群(如老年人或残疾人)造成困难的障碍,从而促进了人机交互(HRI)的包容性。人力资源研究所的工作对人机对话交互的设计、理解和评估做出了重大贡献。与此同时,会话用户界面(CUI)社区也以类似的目标发展起来,尽管它更广泛地关注跨一系列设备和平台的会话交互。本次研讨会旨在通过为期一天的研讨会将CUI和HRI社区聚集在一起,概述在发展与机器人的对话互动方面的关键共同机遇和挑战,从而产生针对CUI 2023挑衅轨道的合作出版物。
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引用次数: 0
SEAN-VR: An Immersive Virtual Reality Experience for Evaluating Social Robot Navigation SEAN-VR:用于评估社交机器人导航的沉浸式虚拟现实体验
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580039
Qiping Zhang, Nathan Tsoi, Marynel Vázquez
We propose a demonstration of the Social Environment for Autonomous Navigation with Virtual Reality (VR) for advancing research in Human-Robot Interaction. In our demonstration, a user controls a virtual avatar in simulation and performs directed navigation tasks with a mobile robot in a warehouse environment. Our demonstration shows how researchers can leverage the immersive nature of VR to study robot navigation from a user-centered perspective in densely populated environments while avoiding physical safety concerns common with operating robots in the real world. This is important for studying interactions with robots driven by algorithms that are early in their development lifecycle.
我们提出了一个虚拟现实(VR)自主导航的社会环境演示,以推进人机交互的研究。在我们的演示中,用户在模拟中控制虚拟化身,并在仓库环境中使用移动机器人执行定向导航任务。我们的演示展示了研究人员如何利用VR的沉浸式本质,在人口密集的环境中从以用户为中心的角度研究机器人导航,同时避免现实世界中操作机器人常见的物理安全问题。这对于研究与处于开发生命周期早期的算法驱动的机器人的交互非常重要。
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引用次数: 1
Robotic Interventions for Learning (ROB-I-LEARN): Examining Social Robotics for Learning Disabilities through Business Model Canvas 学习的机器人干预(robi - learn):通过商业模型画布检查学习障碍的社交机器人
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568294.3580088
A. Arora, Amit Arora, K. Sivakumar, John R. McIntyre
This ROB-I-LEARN research utilizes a versatile framework (e.g., Business Model Canvas or BMC) for robot design and curriculum development aimed at students diagnosed with autism spectrum disorder (ASD). Robotic interventions / human-robot interaction (HRI) field experiments with high school students were conducted as a recommendation or an outcome of the BMC framework and customer discovery interviews. These curriculum-related robotic interventions / interactive scenarios were designed to improve cognitive rehabilitation targeting students with ASD in high schools, thus enabling a higher quality learning environment that corresponds with students' learning requirements to prepare them for future learning and workforce environments.
这项robi - learn研究利用了一个通用框架(例如,商业模型画布或BMC)来设计机器人和开发针对被诊断为自闭症谱系障碍(ASD)的学生的课程。机器人干预/人机交互(HRI)现场实验与高中生进行作为建议或结果BMC框架和客户发现访谈。这些与课程相关的机器人干预/互动场景旨在改善高中ASD学生的认知康复,从而为学生的学习需求提供更高质量的学习环境,为他们未来的学习和工作环境做好准备。
{"title":"Robotic Interventions for Learning (ROB-I-LEARN): Examining Social Robotics for Learning Disabilities through Business Model Canvas","authors":"A. Arora, Amit Arora, K. Sivakumar, John R. McIntyre","doi":"10.1145/3568294.3580088","DOIUrl":"https://doi.org/10.1145/3568294.3580088","url":null,"abstract":"This ROB-I-LEARN research utilizes a versatile framework (e.g., Business Model Canvas or BMC) for robot design and curriculum development aimed at students diagnosed with autism spectrum disorder (ASD). Robotic interventions / human-robot interaction (HRI) field experiments with high school students were conducted as a recommendation or an outcome of the BMC framework and customer discovery interviews. These curriculum-related robotic interventions / interactive scenarios were designed to improve cognitive rehabilitation targeting students with ASD in high schools, thus enabling a higher quality learning environment that corresponds with students' learning requirements to prepare them for future learning and workforce environments.","PeriodicalId":36515,"journal":{"name":"ACM Transactions on Human-Robot Interaction","volume":"107 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79163684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On Using Social Signals to Enable Flexible Error-Aware HRI 利用社会信号实现灵活的错误感知HRI
IF 5.1 Q2 ROBOTICS Pub Date : 2023-03-13 DOI: 10.1145/3568162.3576990
Maia Stiber, R. Taylor, Chien-Ming Huang
Prior error management techniques often do not possess the versatility to appropriately address robot errors across tasks and scenarios. Their fundamental framework involves explicit, manual error management and implicit domain-specific information driven error management, tailoring their response for specific interaction contexts. We present a framework for approaching error-aware systems by adding implicit social signals as another information channel to create more flexibility in application. To support this notion, we introduce a novel dataset (composed of three data collections) with a focus on understanding natural facial action unit (AU) responses to robot errors during physical-based human-robot interactions---varying across task, error, people, and scenario. Analysis of the dataset reveals that, through the lens of error detection, using AUs as input into error management affords flexibility to the system and has the potential to improve error detection response rate. In addition, we provide an example real-time interactive robot error management system using the error-aware framework.
先前的错误管理技术通常不具备跨任务和场景适当处理机器人错误的通用性。它们的基本框架包括显式的手动错误管理和隐式的特定于领域的信息驱动的错误管理,为特定的交互上下文定制它们的响应。我们提出了一个框架,通过增加隐式社会信号作为另一个信息通道来接近错误感知系统,以创造更大的应用灵活性。为了支持这一概念,我们引入了一个新的数据集(由三个数据集组成),重点是理解基于物理的人机交互过程中对机器人错误的自然面部动作单元(AU)响应——在任务、错误、人员和场景之间变化。对数据集的分析表明,从错误检测的角度来看,使用au作为错误管理的输入为系统提供了灵活性,并有可能提高错误检测响应率。此外,我们还提供了一个使用错误感知框架的实时交互式机器人错误管理系统示例。
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引用次数: 5
期刊
ACM Transactions on Human-Robot Interaction
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