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Estimating Person's Awareness of an Obstacle using HCRF for an Attendant Robot 基于HCRF的随从机器人对障碍物意识的估计
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2974832
Kenji Koide, J. Miura
This paper describes an estimation method of a person's awareness of an obstacle. We assume that the person's awareness influences the person's motion, and construct a model of the relationship between the awareness and the motion using HCRF. We extract a sequence of motion features from the person trajectory, and then classify whether the person is aware of the obstacle or not using the model. Awareness estimation experiments are conducted in order to validate the method and evaluate its performance. Since the method uses only the position and the velocity of the person, it can be applicable to mobile robots.
本文描述了一种评估人对障碍物感知能力的方法。我们假设人的意识影响人的运动,并利用HCRF构建了人的意识与运动之间的关系模型。我们从人的运动轨迹中提取一系列运动特征,然后使用该模型对人是否意识到障碍物进行分类。为了验证该方法并评估其性能,进行了感知估计实验。由于该方法仅使用人的位置和速度,因此可以适用于移动机器人。
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引用次数: 4
Conversational Agents and Mental Health: Theory-Informed Assessment of Language and Affect 会话代理与心理健康:语言与情感的理论评估
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2974820
Adam S. Miner, A. Chow, Sarah Adler, Ilia Zaitsev, P. Tero, Alison M Darcy, A. Paepcke
A study deployed the mental health Relational Frame Theory as grounding for an analysis of sentiment dynamics in human-language dialogs. The work takes a step towards enabling use of conversational agents in mental health settings. Sentiment tendencies and mirroring behaviors in 11k human-human dialogs were compared with behaviors when humans interacted with conversational agents in a similar-sized collection. The study finds that human sentiment-related interaction norms persist in human-agent dialogs, but that humans are twice as likely to respond negatively when faced with a negative utterance by a robot than in a comparable situation with humans. Similarly, inhibition towards use of obscenity is greatly reduced. We introduce a new Affective Neural Net implementation that specializes in analyzing sentiment in real time.
一项研究将心理健康关系框架理论作为人类语言对话中情绪动态分析的基础。这项工作朝着在精神卫生环境中使用对话代理迈出了一步。研究人员将11k个人际对话中的情绪倾向和镜像行为与人类与类似规模的对话代理交互时的行为进行了比较。研究发现,人类情感相关的互动规范在人机对话中仍然存在,但当人类面对机器人的负面话语时,做出负面反应的可能性是人类的两倍。同样,对使用淫秽内容的抑制也大大减少。我们引入了一种新的情感神经网络实现,专门用于实时分析情绪。
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引用次数: 53
Ambiguity-driven Interaction in Robot-to-Human Teaching 机器人对人教学中的模糊驱动交互
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2980514
Kenta Yamada, J. Miura
The transfer of task knowledge is ubiquitous in our daily lives, where various types of interaction occur. Such an interactive task knowledge transfer, however, requires that an instructor and a learner to be at the same place and time. If we use a robot to mediate between them, such limitations can be eliminated. This paper focuses on human-to-robot teaching, in which a robot instructor interactively teaches a human learner how to achieve a task. We develop an ambiguity-driven formulation of interactive teaching based on the Dempster-Shafer theory. We implemented an experimental system for blocks world tasks as a proof-of-concept and show our preliminary results.
任务知识的转移在我们的日常生活中无处不在,发生着各种各样的互动。然而,这种交互式任务知识转移要求教师和学习者在同一地点和同一时间。如果我们用机器人在他们之间进行调解,这些限制就可以消除。本文主要研究的是人机教学,即由机器人讲师交互式地指导人类学习者如何完成任务。我们发展了一个基于Dempster-Shafer理论的模糊驱动的互动教学公式。我们为积木世界任务实现了一个实验系统,作为概念验证,并展示了我们的初步结果。
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引用次数: 4
A Study on Trust in Pharmacists for Better HAI Design 药师信任对优化药品监督管理设计的影响研究
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2980507
Jia Qi Lim, Nico Lim, Maya Zheng, S. L. See
Trust is a fundamental element in human cooperation and a critical factor in determining the success of human-human communications. This paper investigates trust in pharmacists and their customers and provides an insight into how trust is being established to effect human-human and human-agent interactions (HAI), in order to promote better design of robotic agents, such as a robot pharmacy-advisor, in support of the healthcare industry.
信任是人类合作的基本要素,也是决定人际交往成功与否的关键因素。本文调查了药剂师及其客户的信任,并提供了如何建立信任来影响人与人和人代理交互(HAI)的见解,以促进更好地设计机器人代理,例如机器人药房顾问,以支持医疗保健行业。
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引用次数: 0
See Where I am Looking at: Perceiving Gaze Cues With a NAO Robot 看看我在看哪里:用NAO机器人感知凝视线索
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2980479
E. Mwangi, E. Barakova, Ruixin Zhang, M. Díaz, Andreu Català, G.W.M. Rauterberg
Gaze is an important nonverbal cue in human - human communication, for example, in communicating direction of attention. Therefore, presumably being able to understand and provide gaze cues is an important aspect in robot's interactive behavior. While there is considerable progress, as regards the design of social gaze cues for robots, there is little that has been done to examine the ability of humans to read and accept help signals from a robot's gaze. In this study, we examine how people perceive gaze cues and head angles directed towards different target positions on a table when human and NAO robot are sitting against each other as in board game scenarios. From the results, we show that when the head pitch angle is higher (24±2) and the depth is less, approximately 20 cm from the robot, participants detected the positions with good accuracy. Unexpectedly, the locations on the left of the robot were detected with lower accuracy. In conclusion, we discuss the implications of this research for design of interaction settings between human and a robot that is intended for social and educational support.
凝视是人类交流中重要的非语言提示,例如,在交流注意方向时。因此,能够理解并提供注视线索是机器人交互行为的一个重要方面。虽然在机器人社交注视线索的设计方面已经取得了相当大的进展,但在检测人类阅读和接受机器人注视的帮助信号的能力方面却做得很少。在这项研究中,我们研究了在棋盘游戏场景中,当人类和NAO机器人面对面坐着时,人们如何感知指向桌子上不同目标位置的凝视线索和头部角度。结果表明,当头部俯仰角较大(24±2)且深度较小(距离机器人约20 cm)时,参与者检测位置的准确性较好。出乎意料的是,机器人左边的位置检测精度较低。总之,我们讨论了这项研究对设计人类和机器人之间的交互设置的影响,旨在为社会和教育提供支持。
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引用次数: 8
Who am I Touching?: User Study of Remote Handshaking with a Telepresence Face 我在触摸谁?:使用网真人脸进行远程握手的用户研究
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2974821
Kana Misawa, J. Rekimoto
In mediated communications, the social presence is said to be enhanced not only by eye contact and body gestures but also by remote haptics. To realize remote haptics, we present a mask telepresence system worn by a surrogate that displays the face of a remote user through a livestream. This system allows someone to shake the hand of a remote user via the surrogate. We conducted experiments where the surrogate contacted the participants to determine with whom the participants thought they shook hands: the surrogate or the remote user. We hy- pothesized that the relationship between the participant and surrogate or remote user is affected by the haptic sensations. Therefore, we prepared four conditions where the remote user was an acquaintance or a stranger and the surrogate was an acquaintance or a stranger. The results showed that, when the surrogate and the remote user were acquaintances, the participants felt like they were shaking hands with the remote user.
在中介沟通中,社会存在被认为不仅通过眼神交流和肢体动作,还通过远程触觉来增强。为了实现远程触觉,我们提出了一个由替身佩戴的面具远程呈现系统,该系统通过直播显示远程用户的面部。该系统允许某人通过代理与远程用户握手。我们进行了一些实验,让代理人联系参与者,以确定参与者认为他们与谁握手:代理人还是远程用户。我们假设参与者与代理或远程用户之间的关系受到触觉的影响。因此,我们准备了四个条件,其中远程用户是熟人或陌生人,代理是熟人或陌生人。结果表明,当替身和远程用户是熟人时,参与者感觉他们在和远程用户握手。
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引用次数: 2
Voting-Based Backchannel Timing Prediction Using Audio-Visual Information 利用视听信息进行基于投票的反信道时间预测
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2980501
T. Nishide, Kei Shimonishi, H. Kawashima, T. Matsuyama
While many spoken dialog systems are recently developed, users need to summarize and convey what they want the system to do clearly. However, in a human dialog, a speaker often summarize what to say incrementally, provided that there is a good listener who responds to the speaker's utterances at appropriate timing. We consider that generating backchannel responses, where appropriate, overlapped with the user's utterances is crucial for an artificial listener system that can promote user's utterances since such overlaps are the norm in human dialogs. Toward the goal to realize such a listener system, in this paper, we propose a voting-based algorithm of predicting the end of utterances early (i.e., before the utterances end) using audio-visual information. In the evaluation, we demonstrate the effectiveness of using audio-visual information and the applicability of the voting-based prediction algorithm with some early results.
虽然最近开发了许多口语对话系统,但用户需要清楚地总结和传达他们希望系统做什么。然而,在人类对话中,只要有一个好的听众在适当的时间对说话者的话语做出回应,说话者通常会逐步总结自己要说的话。我们认为,在适当的情况下,生成与用户话语重叠的反向通道响应对于能够促进用户话语的人工听者系统至关重要,因为这种重叠在人类对话中是常态。为了实现这样一个听者系统,在本文中,我们提出了一种基于投票的算法,利用视听信息提前预测话语结束(即在话语结束之前)。在评估中,我们展示了使用视听信息的有效性和基于投票的预测算法的适用性,并取得了一些初步结果。
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引用次数: 0
A Leader-Follower Relation between a Human and an Agent 人类和代理人之间的领导-追随者关系
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2974822
K. Terada, S. Yamada, Kazuyuki Takahashi
The purpose of this work is to investigate which of an agent's properties determines leader-follower relationships in cooperative tasks performed by a human and an agent (a computer). The possible factors of an agent are intelligence, obstinance, and appearance. In this paper, we focused on intelligence and obstinance and conducted a psychological experiment using a mark matching game with a declaration phase, which enables us to observe who becomes the leader in a cooperative task. Experimental results showed that humans tend to follow an agent who has low intelligence and more obstinance rather than an agent who has high intelligence and less obstinance, and we found that obstinance is more important than intelligence in being a leader in human-computer interaction.
这项工作的目的是研究在由人类和智能体(计算机)执行的合作任务中,哪个智能体的属性决定了领导者-追随者关系。代理人的可能因素是智力、固执和外表。在这篇论文中,我们以智力和执拗为研究对象,采用带有声明阶段的标记匹配游戏进行了心理实验,观察在合作任务中谁会成为领导者。实验结果表明,人类倾向于跟随低智商、更固执的智能体,而不是高智商、更不固执的智能体。我们发现,在人机交互中,固执比智力更重要。
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引用次数: 0
Development of a Simulated Environment for Recruitment Examination and Training of High School Teachers 高中教师招聘考试与培训模拟环境的开发
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2980508
Masato Fukuda, Hung-Hsuan Huang, Tetsuya Kanno, Naoki Ohta, K. Kuwabara
While the environment of schools become more and more complicated, the improvement of teachers' skills in teaching and management is required. In this study, we focus on the development of a Wizard-of-Oz (WOZ) platform of simulated school environment, which can be utilized for teacher training or the examination of teacher recruitment from remote. This system is comprised of two front ends, one is a simulated classroom for the trainee, the other one is the interface for the system operator / investigator. The virtual classroom contains a number of virtual students who are controlled by the operator from the remote. The operator can observe the trainee from a dedicated interface and control the behaviors of any individual student as well as the atmosphere of the whole class. The whole-class atmosphere created by relatively large number of students is modeled as a concentration-arousal two dimensional space. The prototype system is evaluated with subject experiment and the results are reported.
随着学校环境的日益复杂,对教师教学和管理技能的提高提出了更高的要求。在本研究中,我们重点开发了一个模拟学校环境的Wizard-of-Oz (WOZ)平台,该平台可以用于教师培训或远程教师招聘考试。该系统由两个前端组成,一个是培训学员的模拟教室,另一个是系统操作员/调查员的界面。虚拟教室包含许多虚拟学生,这些学生由操作员从远程控制。操作员可以从一个专用的界面观察学员,控制任何一个学生的行为以及整个班级的气氛。由人数较多的学生创造的整个课堂氛围被建模为一个集中-觉醒的二维空间。对原型系统进行了主体实验评价,并报告了实验结果。
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引用次数: 0
A Web-based Platform for Collection of Human-Chatbot Interactions 基于web的人机交互收集平台
Pub Date : 2016-10-04 DOI: 10.1145/2974804.2980500
Lue Lin, L. F. D’Haro, R. Banchs
Over recent years, the world has seen multiple uses for conversational agents. Chatbots has been implemented into ecommerce systems, such as Amazon Echo's Alexa [1]. Businesses and organizations like Facebook are also implementing bots into their applications. While a number of amazing chatbot platform exists, there are still difficulties in creating data-driven-systems as they large amount of data is needed for development and training. This paper we describe an advanced platform for evaluating and annotating human-chatbot interactions, its main features and goals, as well as the future plans we have for it.
近年来,世界上出现了会话代理的多种用途。聊天机器人已经被应用到电子商务系统中,比如亚马逊Echo的Alexa[1]。像Facebook这样的企业和组织也在他们的应用程序中实施机器人。虽然有许多令人惊叹的聊天机器人平台存在,但创建数据驱动系统仍然存在困难,因为它们需要大量的数据来进行开发和培训。本文描述了一个用于评估和注释人类聊天机器人交互的高级平台,它的主要功能和目标,以及我们对它的未来计划。
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引用次数: 24
期刊
Proceedings of the Fourth International Conference on Human Agent Interaction
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