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2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)最新文献

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Pronunciation-Based Child-Robot Game Interactions to Promote Literacy Skills 基于发音的儿童-机器人游戏互动促进读写能力
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673296
Samuel Spaulding, C. Breazeal
In this paper we present additional results from a prior study of speech-based games to promote early literacy skills through child-robot interaction [6]. The additional data and results support our original conclusion, that pronunciation analysis software can be an effective enabler of speech child-robot interactions. We also include a comparison of other pronunciation services, an updated version of the SpeechAce API and a new technology from Soapbox Labs. We reflect on some lessons learned and introduce a redesigned version of the game interaction called ‘RhymeRacer’ based on the results and observations from both data collections.
在本文中,我们从先前的一项基于语音的游戏的研究中获得了额外的结果,该游戏通过儿童与机器人的互动来促进早期读写技能[6]。额外的数据和结果支持了我们最初的结论,即发音分析软件可以有效地促进孩子与机器人之间的语音交互。我们还包括其他发音服务的比较,一个更新版本的speech hace API和一个来自Soapbox实验室的新技术。我们总结了一些经验教训,并基于两种数据收集的结果和观察,重新设计了游戏互动版本“RhymeRacer”。
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引用次数: 2
Promoting STEAM Education with Child-Robot Musical Theater 以儿童机器人音乐剧推动STEAM教育
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673311
Jaclyn A. Barnes, S. M. Fakhrhosseini, Eric Vasey, Joseph D. Ryan, C. Park, M. Jeon
In an eight-week STEAM education program for elementary school children, kids worked on musical theater projects with a variety of robots. The program included 4 modules about acting, dancing, music & sounds, and drawing. Twenty-five children grades K-5 participated in this program. Children were excited by the program and they demonstrated collaboration and peer-to-peer interactive learning. In the future, we plan to add more robust interaction and more science and engineering experiences to the program. This program is expected to promote STEM education in the informal learning environment by combining it with arts and design.
在为期八周的针对小学生的STEAM教育项目中,孩子们与各种机器人一起完成音乐剧项目。课程包括表演、舞蹈、音乐与声音、绘画四个模块。25名K-5年级的孩子参加了这个项目。孩子们对这个项目感到兴奋,他们展示了合作和点对点的互动学习。在未来,我们计划在这个项目中增加更多的互动和更多的科学和工程经验。该项目旨在通过将STEM教育与艺术和设计相结合,促进非正式学习环境中的STEM教育。
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引用次数: 7
BabeBay-A Companion Robot for Children Based on Multimodal Affective Computing 基于多模态情感计算的儿童伴侣机器人babebay
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673163
Meimei Zheng, Yingying She, Fang Liu, Jin Chen, Yang Shu, J. Xiahou
The BabeBay is a children companion robot which has the ability of real-time multimodal affective computing. Accurate and effective affective fusion computing makes BabeBay own adaptability and capability during interaction according to different children in different emotion. Furthermore, the corresponding cognitive computing and robots behavior can be enhanced to personalized companionship.
BabeBay是一款具有实时多模态情感计算能力的儿童陪伴机器人。准确有效的情感融合计算,使BabeBay在互动过程中根据不同孩子的不同情绪有自己的适应性和能力。此外,相应的认知计算和机器人行为可以增强为个性化的陪伴。
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引用次数: 10
Robots for Learning - R4L: Adaptive Learning 学习机器人- R4L:适应性学习
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673109
W. Johal, A. Sandygulova, J. D. Wit, M. Haas, B. Scassellati
The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. This year's half-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts to design, develop and test new robotics systems that help learners. This 5th edition of the workshop will be dealing in particular on the potential use of robots for adaptive learning. Since the past few years, inclusive education have been a key policy in a number of countries, aiming to provide equal changes and common ground to all. In this workshop, we aim to discuss strategies to design robotics system able to adapt to the learners' abilities, to provide assistance and to demonstrate long-term learning effects.
学习机器人研讨会系列旨在推进与在教育环境中使用社交机器人相关的研究课题。今年为期半天的研讨会是继人机交互会议之前的活动之后,重点关注设计、开发和测试帮助学习者的新机器人系统的努力。第五届研讨会将特别讨论机器人在自适应学习中的潜在应用。过去几年来,全纳教育已成为许多国家的一项关键政策,旨在为所有人提供平等的变化和共同点。在本次研讨会中,我们旨在讨论设计能够适应学习者能力的机器人系统的策略,以提供帮助并展示长期学习效果。
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引用次数: 2
Is Human-Robot Interaction More Competitive Between Groups Than Between Individuals? 群体之间的人机互动比个人之间的竞争更激烈吗?
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673241
Marlena R. Fraune, Steven Sherrin, S. Šabanović, Eliot R. Smith
As robots, both individually and in groups, become more prevalent in everyday contexts (e.g., schools, workplaces, educational and caregiving institutions), it is possible that they will be perceived as outgroups, or come into competition for resources with humans. Research indicates that some of the psychological effects of intergroup interaction common in humans translate to human-robot interaction (HRI). In this paper, we examine how intergroup competition, like that among humans, translates to HRI. Specifically, we examined how Number of Humans (1, 3) and Number of Robots (1, 3) affect behavioral competition on dilemma tasks and survey ratings of perceived threat, emotion, and motivation (fear, greed, and outperformance). We also examined the effect of perceived group entitativity (i.e., cohesiveness) on competition motivation. Like in social psychological literature, these results indicate that groups of humans (especially entitative groups) showed more greed-based motivation and competition toward robots than individual humans did. However, we did not find evidence that number of robots had an effect on fear-based motivation or competition against them unless the robot groups were perceived as highly entitative. Our data also show the intriguing finding that participants displayed more fear of and competed slightly more against robots that matched their number. Future research should more deeply examine this novel pattern of results compared to one-on-one HRI and typical group dynamics in social psychology.
随着机器人个体和群体在日常环境(如学校、工作场所、教育和护理机构)中变得越来越普遍,它们可能会被视为外群体,或者与人类竞争资源。研究表明,人类群体间互动的一些心理效应可以转化为人机互动(HRI)。在本文中,我们研究了群体间竞争,如人类之间的竞争,是如何转化为人力资源竞争力的。具体来说,我们研究了人类数量(1,3)和机器人数量(1,3)如何影响两难任务中的行为竞争,并调查了感知威胁、情绪和动机(恐惧、贪婪和卓越表现)的评级。我们还研究了感知群体实体性(即凝聚力)对竞争动机的影响。与社会心理学文献一样,这些结果表明,人类群体(尤其是实体群体)比个人表现出更多基于贪婪的动机和对机器人的竞争。然而,我们没有发现证据表明机器人的数量对基于恐惧的动机或对它们的竞争有影响,除非机器人群体被认为是高度真实的。我们的数据还显示了一个有趣的发现,即参与者对与其数量匹配的机器人表现出更多的恐惧,并且与之竞争的次数也会稍微多一些。未来的研究应该更深入地研究这种新的结果模式,将其与一对一的HRI和社会心理学中典型的群体动力学进行比较。
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引用次数: 32
Demo: Pointing Gestures for Proximity Interaction 演示:接近交互的指向手势
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673329
B. Gromov, Jérôme Guzzi, L. Gambardella, A. Giusti
We demonstrate a system to control robots in the users proximity with pointing gestures—a natural device that people use all the time to communicate with each other. Our setup consists of a miniature quadrotor Crazyflie 2.0, a wearable inertial measurement unit MetaWearR+ mounted on the user's wrist, and a laptop as the ground control station. The video of this demo is available at https://youtu.be/yafy-HZMk_U [1].
我们演示了一个系统,可以用手势来控制用户附近的机器人——这是人们一直用来相互交流的自然设备。我们的装置包括一个微型四旋翼飞行器crazyfly 2.0,一个安装在用户手腕上的可穿戴惯性测量单元MetaWearR+,以及一台作为地面控制站的笔记本电脑。这个演示的视频可以在https://youtu.be/yafy-HZMk_U[1]上找到。
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引用次数: 3
DataDrawingDroid: A Wheel Robot Drawing Planned Path as Data-Driven Generative Art DataDrawingDroid:一个车轮机器人绘制计划路径作为数据驱动的生成艺术
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673122
Yasuto Nakanishi
This paper introduces DataDrawingDroid, a wheel robot to visualize data and draw data-driven generative art onto a floor. In our user study, 24 participants watched videos of three types of data drawing. T-tests for the results on five-point Likert scales indicated that it attracted them and suggested the importance of balancing functionality and aesthetics.
本文介绍了DataDrawingDroid,这是一个轮式机器人,可以将数据可视化并在地板上绘制数据驱动的生成艺术。在我们的用户研究中,24名参与者观看了三种类型的数据绘制视频。五分制李克特量表结果的t检验表明,它吸引了他们,并表明平衡功能和美学的重要性。
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引用次数: 2
Infrasound for HRI: A Robot Using Low-Frequency Vibrations to Impact How People Perceive its Actions HRI的次声:一个使用低频振动来影响人们如何感知其行为的机器人
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673172
Raquel Thiessen, Daniel J. Rea, Diljot S. Garcha, Cheng Cheng, J. Young
We investigate robots using infrasound, low-frequency vibrational energy at or near the human hearing threshold, as an interaction tool for working with people. Research in psychology suggests that the presence of infrasound can impact a person's emotional state and mood, even when the person is not acutely aware of the infrasound. Although often not noticed, infrasound is commonly present in many situations including factories, airports, or near motor vehicles. Further, a robot itself can produce infrasound. Thus, we examine if infrasound may impact how people interpret a robot's social communication: if the presence of infrasound makes a robot seem more or less happy, energetic, etc., as a result of impacting a person's mood. We present the results from a series of experiments that investigate how people rate a social robot's emotionally-charged gestures, and how varied levels and sources of infrasound impact these ratings. Our results show that infrasound does have a psychological effect on the person's perception of the robot's behaviors, supporting this as a technique that a robot can use as part of its interaction design toolkit. We further provide a comparison of infrasound generation methods.
我们研究了使用次声的机器人,低频振动能量达到或接近人类的听力阈值,作为与人合作的互动工具。心理学研究表明,次声的存在会影响一个人的情绪状态和情绪,即使这个人没有敏锐地意识到次声。虽然通常不被注意到,但次声通常存在于许多场合,包括工厂、机场或机动车附近。此外,机器人本身可以产生次声。因此,我们研究次声是否会影响人们如何理解机器人的社交交流:次声的存在是否会使机器人看起来更快乐、更有活力等,从而影响人的情绪。我们展示了一系列实验的结果,这些实验调查了人们如何评价社交机器人充满情感的手势,以及不同水平和来源的次声如何影响这些评分。我们的研究结果表明,次声确实会对人对机器人行为的感知产生心理影响,这支持了这种技术,机器人可以将其作为交互设计工具包的一部分。我们进一步提供了次声产生方法的比较。
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引用次数: 13
An Antisocial Social Robot: Using Negative Affect to Reinforce Cooperation in Human-Robot Interactions 反社会型社交机器人:利用负面情感加强人机互动中的合作
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673264
Hideki Garcia Goo, Jaime Alvarez Perez, Virginia Contreras
Inspired by prior work with robots that physically display positive emotion (e.g., [1]), we were interested to see how people might interact with a robot capable of communicating cues of negative affect such as anger. Based in particular on [2], we have prototyped an anti-social, zoomorphic robot equipped with a spike mechanism to nonverbally communicate anger. The robot's embodiment involves a simple dome-like morphology with a ring of inflatable spikes wrapped around its circumference. Ultrasonic sensors engage the robot's antisocial cuing (e.g., “spiking” when a person comes too close). To evaluate people's perceptions of the robot and the impact of the spike mechanism on their behavior, we plan to deploy the robot in social settings where it would be inappropriate for a person to approach (e.g., in front of a door with a “do not disturb” sign). We expect that exploration of robot antisociality, in addition to prosociality, will help inform the design of more socially complex human-robot interactions.
受先前机器人表现积极情绪的工作(例如,[1])的启发,我们有兴趣了解人们如何与能够传达消极情绪(如愤怒)线索的机器人互动。在[2]的基础上,我们制作了一个反社会的动物型机器人的原型,该机器人配备了一个刺突机制,以非语言方式表达愤怒。这个机器人的外形是一个简单的圆顶状的外形,在它的圆周上缠绕着一圈可充气的尖刺。超声波传感器利用机器人的反社会信号(例如,当有人靠得太近时,机器人会发出“脉冲”)。为了评估人们对机器人的看法以及刺突机制对他们行为的影响,我们计划将机器人部署在不适合人类接近的社交环境中(例如,在标有“请勿打扰”标志的门前)。我们期望对机器人反社会性的探索,除了亲社会性之外,将有助于为更复杂的人机交互设计提供信息。
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引用次数: 2
Face-to-Face Contact Method for Humanoid Robots Using Face Position Prediction 基于人脸位置预测的人形机器人面对面接触方法
Pub Date : 2019-03-11 DOI: 10.1109/HRI.2019.8673175
Yuki Okafuji, Jun Baba, Junya Nakanishi
It is an important functional behavior for humanoid robots to have face-to-face contact with humans. We predict future face position to achieve natural behavior that is similar to the communication between people. Robots gaze at a prediction point for reducing mechanical delay. The proposed system for robots to have face-to-face contact can reduce delay.
与人进行面对面接触是类人机器人的一项重要功能行为。我们预测未来的面部位置,以实现类似于人与人之间交流的自然行为。机器人凝视着一个预测点,以减少机械延迟。提出的机器人面对面接触系统可以减少延迟。
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引用次数: 3
期刊
2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
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