2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)最新文献_第3页

The influence of individual social traits on robot learning in a human-robot interaction 人机交互中个体社会特征对机器人学习的影响

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-28 DOI: 10.1109/ROMAN.2017.8172311

Hakim Guedjou, S. Boucenna, J. Xavier, D. Cohen, M. Chetouani

{"title":"The influence of individual social traits on robot learning in a human-robot interaction","authors":"Hakim Guedjou, S. Boucenna, J. Xavier, D. Cohen, M. Chetouani","doi":"10.1109/ROMAN.2017.8172311","DOIUrl":"https://doi.org/10.1109/ROMAN.2017.8172311","url":null,"abstract":"Interactive Machine Learning considers that a robot is learning with and/or from a human. In this paper, we investigate the impact of human social traits on the robot learning. We explore social traits such as age (children vs. adult) and pathology (typical developing children vs. children with autistic spectrum disorders). In particular, we consider learning to recognize both postures and identity of a human partner. A human-robot posture imitation learning, based on a neural network architecture, is used to develop a multi-task learning framework. This architecture exploits three learning levels : 1) visual feature representation, 2) posture classification and 3) human partner identification. During the experiment the robot interacts with children with autism spectrum disorders (ASD), typical developing children (TD) and healthy adults. Previous works assessed the impact on learning of these social traits at the group level. In this paper, we focus on the analysis of individuals separately. The results show that the robot is impacted by the social traits of these different groups' individuals. First, the architecture needs to learn more visual features when interacting with a child with ASD (compared to a TD child) or with a TD child (compared to an adult). However, this surplus in the number of neurons helped the robot to improve the TD children's posture recognition but not that of children with ASD. Second, preliminary results show that this need of a neurons surplus while interacting with children with ASD is also generalizable to the identity recognition task.","PeriodicalId":134777,"journal":{"name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"81 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910271","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: 5

Assessing the social criteria for human-robot collaborative navigation: A comparison of human-aware navigation planners 评估人机协同导航的社会标准:人类感知导航计划者的比较

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-28 DOI: 10.1109/ROMAN.2017.8172447

Harmish Khambhaita, R. Alami

{"title":"Assessing the social criteria for human-robot collaborative navigation: A comparison of human-aware navigation planners","authors":"Harmish Khambhaita, R. Alami","doi":"10.1109/ROMAN.2017.8172447","DOIUrl":"https://doi.org/10.1109/ROMAN.2017.8172447","url":null,"abstract":"This paper focuses on requirements for effective human robot collaboration in interactive navigation scenarios. We designed several use-cases where humans and robot had to move in the same environment that resemble canonical path-crossing situations. These use-cases include open as well as constrained spaces. Three different state-of-the-art humanaware navigation planners were used for planning the robot paths during all selected use-cases. We compare results of simulation experiments with these human-aware planners in terms of quality of generated trajectories together with discussion on capabilities and limitations of the planners. The results show that the human-robot collaborative planner [1] performs better in everyday path-crossing configurations. This suggests that the criteria used by the human-robot collaborative planner (safety, time-to-collision, directional-costs) are possible good measures for designing acceptable human-aware navigation planners. Consequently, we analyze the effects of these social criteria and draw perspectives on future evolution of human-aware navigation planning methods.","PeriodicalId":134777,"journal":{"name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134641427","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: 25

Strategies and mechanisms to enable dialogue agents to respond appropriately to indirect speech acts 对话主体对间接言语行为作出适当反应的策略和机制

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172321

Gordon Briggs, Matthias Scheutz

引用次数: 2

Interoperability in cloud robotics — Developing and matching knowledge information models for heterogenous multi-robot systems 云机器人中的互操作性。开发和匹配异构多机器人系统的知识信息模型

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172471

J. Quintas, P. Menezes, J. Dias

引用次数: 4

Impact of embodied training on object recognition 具身训练对目标识别的影响

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172478

P. Narayanan, M. Bugajska, W. Lawson, J. Trafton

引用次数: 3

Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation ADL识别的两种深度方法:多尺度LSTM和具有三维矩阵骨架表示的CNN-LSTM

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172406

Giovanni Ercolano, D. Riccio, Silvia Rossi

{"title":"Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation","authors":"Giovanni Ercolano, D. Riccio, Silvia Rossi","doi":"10.1109/ROMAN.2017.8172406","DOIUrl":"https://doi.org/10.1109/ROMAN.2017.8172406","url":null,"abstract":"In this work, we propose a deep learning approach for the detection of the activities of daily living (ADL) in a home environment starting from the skeleton data of an RGB-D camera. In this context, the combination of ad hoc features extraction/selection algorithms with supervised classification approaches has reached an excellent classification performance in the literature. Since the recurrent neural networks (RNNs) can learn temporal dependencies from instances with a periodic pattern, we propose two deep learning architectures based on Long Short-Term Memory (LSTM) networks. The first (MT-LSTM) combines three LSTMs deployed to learn different time-scale dependencies from pre-processed skeleton data. The second (CNN-LSTM) exploits the use of a Convolutional Neural Network (CNN) to automatically extract features by the correlation of the limbs in a skeleton 3D-grid representation. These models are tested on the CAD-60 dataset. Results show that the CNN-LSTM model outperforms the state-of-the-art performance with 95.4% of precision and 94.4% of recall.","PeriodicalId":134777,"journal":{"name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116653901","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: 22

A robot at home — How affect, technology commitment, and personality traits influence user experience in an intelligent robotics apartment 家中的机器人——在智能机器人公寓中，情感、技术承诺和个性特征如何影响用户体验

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172370

Jasmin Bernotat, F. Eyssel

{"title":"A robot at home — How affect, technology commitment, and personality traits influence user experience in an intelligent robotics apartment","authors":"Jasmin Bernotat, F. Eyssel","doi":"10.1109/ROMAN.2017.8172370","DOIUrl":"https://doi.org/10.1109/ROMAN.2017.8172370","url":null,"abstract":"Previous research has shown that user features like affect, personality traits, user gender, technology commitment, perceived ease of technology use, and the feeling of being observed impact human-technology interaction (e.g., [1], [2]). To date, most studies have focused on the influence of user characteristics while interacting with single technical devices such as smart phones, audio players (e.g., [3]), or computers (e.g., [1]). To extend this work, we investigated the influence of individual user characteristics, the perceived ease of task completion, and the feeling of being observed on human-technology interaction and human-robot interaction (HRI) in particular. We explored how participants would solve seven tasks within a smart laboratory apartment. To do so, we collected video data and complemented this analysis with survey data to investigate naïve users' attitudes towards the smart home and the robot. User characteristics such as agreeableness, low negative affect, technology acceptance, low perceived competence regarding technology use, and the perceived ease of task were predictors of positive user experiences within the intelligent robotics apartment. Regression analyses revealed that a positive evaluation of the robot was predicted by positive affect and, to a lesser extent, by technology acceptance. Actual interactions with the robot were predicted by a positive evaluation of the robot and, to a lesser degree, by technology acceptance. Moreover, our findings show that user characteristics and, by tendency, the ease of task impact HRI within an intelligent apartment. Implications for future research on how to investigate the interplay of user and further task characteristics to improve HRI are discussed.","PeriodicalId":134777,"journal":{"name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127325519","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: 24

Playing the mirror game with a humanoid: Probing the social aspects of switching interaction roles 与人形机器人玩镜子游戏:探索转换互动角色的社交方面

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172437

Shelly Sicat, Shreya Chopra, Nico Li, E. Sharlin

{"title":"Playing the mirror game with a humanoid: Probing the social aspects of switching interaction roles","authors":"Shelly Sicat, Shreya Chopra, Nico Li, E. Sharlin","doi":"10.1109/ROMAN.2017.8172437","DOIUrl":"https://doi.org/10.1109/ROMAN.2017.8172437","url":null,"abstract":"Individuals can easily change interaction roles during everyday tasks, for example by shifting from following someone's lead, to leading the task themselves. We are interested in how these existing social experiences scale to human-robot interaction (HRI). How would robots change their interaction roles when working with people? Would changes in interaction roles pose a challenge unique to robots? In this paper, we propose a testbed for changing interaction roles in HRI based on a drama exercise known as the Mirror Game. The Mirror Game enables close collaboration between two individuals with each closely following the other's movements. Utilizing the Mirror Game with a large humanoid robot allowed us to examine people's reactions to changes in the humanoid interaction roles. We contribute: 1) the design of a human-robot interaction role-switching testbed based on the Mirror Game 2) a prototype of our testbed realized with Rethink Robotic's humanoid, Baxter, and 3) the results of a preliminary study examining people's reactions to the robot changing interaction roles to verify the design of the testbed.","PeriodicalId":134777,"journal":{"name":"2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127546248","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: 2

Semantic-based interaction for teaching robot behavior compositions 基于语义的机器人行为组合教学交互

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172279

Victor Paléologue, Jocelyn Martin, A. Pandey, Alexandre Coninx, M. Chetouani

引用次数: 12

Proposal of non-rotating joint drive type high output power assist suit for squat lifting 一种非旋转关节驱动型高输出助力深蹲提升套装的设计方案

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pub Date : 2017-08-01 DOI: 10.1109/ROMAN.2017.8172460

Shun Mohri, H. Inose, Hirokazu Arakawa, Kazuya Yokoyama, Yasuyuki Yamada, Isao Kikutani, Taro Nakamura

引用次数: 1