2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)最新文献_第7页

Making HRI accessible to everyone through online videos: A proposal for a μMOOC in human robot interaction 通过在线视频让每个人都能访问HRI:关于人机交互μMOOC的建议

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333679

E. B. Sandoval, Omar Mubin

引用次数: 2

Robot head movements and human effort in the evaluation of tracking performance 机器人头部运动和人的努力在跟踪性能的评价

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333652

Silvia Rossi, M. Staffa, Maurizio Giordano, M. D. Gregorio, Antonio Rossi, Anna Tamburro, C. Vellucci

{"title":"Robot head movements and human effort in the evaluation of tracking performance","authors":"Silvia Rossi, M. Staffa, Maurizio Giordano, M. D. Gregorio, Antonio Rossi, Anna Tamburro, C. Vellucci","doi":"10.1109/ROMAN.2015.7333652","DOIUrl":"https://doi.org/10.1109/ROMAN.2015.7333652","url":null,"abstract":"People detection and tracking are essential capabilities in human-robot interaction (HRI). Typically, a tracker performance is evaluated by measuring objective data, such as the tracking error. However, in HRI applications, human- tracking performance does not have to be evaluated by considering it as a passive sensing behavior, but as an active sensing process, where both the robot and the human are involved within-the-loop. In this context, we foresee that the robotic non-verbal feedback, such as the head movement, plays an important role in improving the system tracking performance, as well as in reducing the human effort in the interactive tracking process. In order to verify this assumption, we evaluate a tracker performance in a joint task between a human and a robot, modeled as a game, and in three different settings. We adopt common HRI performance measures, such as the robot attention demand or the human effort, to evaluate the HRI human tracking performance scaling up with respect to the used robot feedback channels.","PeriodicalId":119467,"journal":{"name":"2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329143","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: 7

Selecting the right robot: Influence of user attitude, robot sociability and embodiment on user preferences 选择合适的机器人:用户态度、机器人社交性和体现对用户偏好的影响

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333598

M. Ligthart, K. Truong

引用次数: 16

You and your robot companion — A framework for creating robotic applications usable by non-experts 您和您的机器人伙伴——一个用于创建非专家可用的机器人应用程序的框架

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333562

J. Hoefinghoff, A. V. D. Pütten, J. Pauli, N. Krämer

引用次数: 5

Preliminary investigation of attention responses against behavior observation Robot's movements 行为观察对机器人运动注意反应的初步研究

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333670

K. Wada, Mutsuki Yageta, Motoyasu Tooyama

引用次数: 0

Meta analysis of the usage of the Godspeed Questionnaire Series Godspeed系列问卷使用情况的Meta分析

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333568

A. Weiss, C. Bartneck

引用次数: 92

Robotic emotional model with personality factors based on Pleasant-Arousal scaling model 基于愉悦-唤醒尺度模型的人格因素机器人情感模型

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333657

Naoki Masuyama, C. Loo

引用次数: 12

Object recognition using multiple instance learning with unclear object teaching 模糊对象教学下的多实例学习目标识别

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333694

Yasuto Tamura, Hun-ok Lim

引用次数: 0

Perception matters! Engagement in task orientated social robotics 感觉很重要!参与以任务为导向的社交机器人

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333665

L. J. Corrigan, Christina Basedow, Dennis Küster, Arvid Kappas, Christopher E. Peters, Ginevra Castellano

引用次数: 11

Relationship between evoked electrical responses and robotic behavior analyzed by Self-Organization Map 利用自组织图分析诱发电反应与机器人行为的关系

2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2015-11-23 DOI: 10.1109/ROMAN.2015.7333700

Wataru Minoshima, Yasuhiro Fukui, Hidekatsu Ito, Suguru N. Kudoh

{"title":"Relationship between evoked electrical responses and robotic behavior analyzed by Self-Organization Map","authors":"Wataru Minoshima, Yasuhiro Fukui, Hidekatsu Ito, Suguru N. Kudoh","doi":"10.1109/ROMAN.2015.7333700","DOIUrl":"https://doi.org/10.1109/ROMAN.2015.7333700","url":null,"abstract":"Toward neuroprosthetic technology, it is critical that a simple model system for interaction between brain and electric devices. For this purpose, we developed neurorobot system, Vitroid, equipped with a living neuronal network and a miniature moving robot as a body of the neurorobot. Self-Organization-Map (SOM) was employed as a generator for behavior of Vitroid. SOM was designed to map a high-dimensional feature vector to a 2-dimentional vector as the winner unit in output layer of SOM. Furthermore, neighboring units were assigned to resemble input vectors. Thus, SOM also performs pattern classifying analysis for inputted feature vector of neuronal activity. Cultured neuronal networks on Multi-Electrodes-Array (MEA) dish was alternately stimulated by two different electrodes. SOM mapped patterns induced by electrical stimulation to a 30 × 30 - 2D output layer. Only in the first step of the learning, SOM is forced to select a specific winner unit previously assigned in order to associate specific behaviors. We call this process “Seeding”. After seeding process, the winner-units correspond to the response patterns induced by two different stimuli were separately mapped. We confirmed that response patterns by two different electrical stimuli could be classified and they were almost stable. Furthermore, it revealed that spontaneous activity and evoked response shared the same patterns, suggesting that the internal autonomous activity is not only a noise, but is almost equivalent to a meaningful response. We also succeeded in collision avoidance of Vitroid by SOM-based behavior generator.","PeriodicalId":119467,"journal":{"name":"2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130353732","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: 1