The 23rd IEEE International Symposium on Robot and Human Interactive Communication最新文献_第4页

Basic controls for generating robots behaviors in HRI contexts 用于在HRI环境中生成机器人行为的基本控件

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926281

A. Meddahi, R. Chellali

引用次数: 0

Effects of blame on trust in human robot interaction 人-机器人互动中责备对信任的影响

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926359

Poornima Kaniarasu, Aaron Steinfeld

引用次数: 49

Realistic 3D simulation of multiple human recognition over Perception Sensor Network 感知传感器网络上多人识别的逼真三维仿真

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926303

JiGwan Park, Kijin An, Jong-suk Choi

引用次数: 10

Transferring human navigation behaviors into a robot local planner 将人类的导航行为转化为机器人的局部规划器

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926347

Rafael Ramón Vigo, Noé Pérez-Higueras, F. Caballero, L. Merino

引用次数: 27

Enhancing My Keepon robot: A simple and low-cost solution for robot platform in Human-Robot Interaction studies 增强My Keepon机器人:人机交互研究中一个简单、低成本的机器人平台解决方案

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926311

Hoang-Long Cao, G. Perre, Ramona Simut, C. Pop, Andreea Peca, D. Lefeber, B. Vanderborght

{"title":"Enhancing My Keepon robot: A simple and low-cost solution for robot platform in Human-Robot Interaction studies","authors":"Hoang-Long Cao, G. Perre, Ramona Simut, C. Pop, Andreea Peca, D. Lefeber, B. Vanderborght","doi":"10.1109/ROMAN.2014.6926311","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926311","url":null,"abstract":"Many robots capable of performing social behaviors have recently been developed for Human-Robot Interaction (HRI) studies. These social robots are applied in various domains such as education, entertainment, medicine, and collaboration. Besides the undisputed advantages, a major difficulty in HRI studies with social robots is that the robot platforms are typically expensive and/or not open-source. It burdens researchers to broaden experiments to a larger scale or apply study results in practice. This paper describes a method to modify My Keepon, a toy version of Keepon robot, to be a programmable platform for HRI studies, especially for robot-assisted therapies. With an Arduino microcontroller board and an open-source Microsoft Visual C# software, users are able to fully control the sounds and motions of My Keepon, and configure the robot to the needs of their research. Peripherals can be added for advanced studies (e.g., mouse, keyboard, buttons, PlayStation2 console, Emotiv neuroheadset, Kinect). Our psychological experiment results show that My Keepon modification is a useful and low-cost platform for several HRI studies.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127600855","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: 17

The autonomy levels and the human intervention levels of robots: The impact of robot types in human-robot interaction 机器人的自主水平与人的干预水平:机器人类型对人机交互的影响

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926394

Jung-Ju Choi, Yunkyung Kim, Sonya S. Kwak

{"title":"The autonomy levels and the human intervention levels of robots: The impact of robot types in human-robot interaction","authors":"Jung-Ju Choi, Yunkyung Kim, Sonya S. Kwak","doi":"10.1109/ROMAN.2014.6926394","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926394","url":null,"abstract":"The objective of this study is to examine the effect of the robot types on emotional engagement with robots. Robots are classified into an autonomous robot and a tele-operated robot according to the levels of autonomy. On the contrary, robots could be distinguished depending on the levels of human intervention required for controlling a robot. An autonomous robot performs task by itself while a tele-operated robot requires an operator's help in task-oriented activity. In emotional communication, an autonomous robot expresses robotic emotions by itself whereas a tele-operated robot delivers an operator's emotions to a receiver. In this study, we compared the impact of the two robot types on perceived intelligence and social presence of robots. We executed a 2 (robot types: an autonomous robot vs. a tele-operated robot) within-participants experiment (N=36). Participants had an interview with either autonomous robot interviewers or tele-operated robot interviewers. They evaluated autonomous robots as more intelligent than tele-operated robots while they felt more social presence toward tele-operated robots than autonomous robots. Implications for design of social robots to increase humans' emotional engagement with robots are discussed.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133610494","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: 18

A drop-out rate in a long-term cognitive rehabilitation program through robotics aimed at children with TBI 一个长期认知康复项目的辍学率，该项目通过机器人技术针对患有脑外伤的儿童

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926251

Àlex Barco, J. Albó-Canals, Carles Garriga, Xavier Vilasís-Cardona, Laura Callejón, M. Turón, Claudia Gómez, A. López-Sala

引用次数: 8

Actions speak louder than looks: Does robot appearance affect human reactions to robot protest and distress? 行动比外表更有说服力:机器人的外表会影响人类对机器人抗议和痛苦的反应吗?

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926402

Gordon Briggs, Bryce Gessell, Matt Dunlap, Matthias Scheutz

引用次数: 6

Coordinating turn-taking and talking in multi-party conversations by controlling robot's eye-gaze 通过控制机器人的眼神来协调多方对话的轮流和对话

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926266

Ryo Sato, Yugo Takeuchi

引用次数: 12

A probabilistic approach for human everyday activities recognition using body motion from RGB-D images 基于RGB-D图像的人体运动识别人类日常活动的概率方法

The 23rd IEEE International Symposium on Robot and Human Interactive Communication Pub Date : 2014-10-20 DOI: 10.1109/ROMAN.2014.6926340

D. Faria, C. Premebida, U. Nunes

{"title":"A probabilistic approach for human everyday activities recognition using body motion from RGB-D images","authors":"D. Faria, C. Premebida, U. Nunes","doi":"10.1109/ROMAN.2014.6926340","DOIUrl":"https://doi.org/10.1109/ROMAN.2014.6926340","url":null,"abstract":"In this work, we propose an approach that relies on cues from depth perception from RGB-D images, where features related to human body motion (3D skeleton features) are used on multiple learning classifiers in order to recognize human activities on a benchmark dataset. A Dynamic Bayesian Mixture Model (DBMM) is designed to combine multiple classifier likelihoods into a single form, assigning weights (by an uncertainty measure) to counterbalance the likelihoods as a posterior probability. Temporal information is incorporated in the DBMM by means of prior probabilities, taking into consideration previous probabilistic inference to reinforce current-frame classification. The publicly available Cornell Activity Dataset [1] with 12 different human activities was used to evaluate the proposed approach. Reported results on testing dataset show that our approach overcomes state of the art methods in terms of precision, recall and overall accuracy. The developed work allows the use of activities classification for applications where the human behaviour recognition is important, such as human-robot interaction, assisted living for elderly care, among others.","PeriodicalId":235810,"journal":{"name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128017803","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: 92