Pub Date : 2012-07-28DOI: 10.5898/JHRI.1.1.Feil-Seifer
David Feil-Seifer, M. Matarić
Sensing and interpreting the user's activities and social behavior, monitoring the dynamics of the social context, and selecting and producing appropriate robot action are the core challenges involved in using robots as social tools in interaction scenarios. In social human-robot interaction, speech and gesture are the commonly considered interaction modalities. In human-human interactions, interpersonal distance between people can contain significant social and communicative information. Thus, if human-robot interaction reflects this human-human interaction property, then human-robot distances also convey social information. If a robot is to be an effective social agent, its actions, including those relating to interpersonal distance, must be appropriate for the given social situation. This becomes a greater challenge in playful and unstructured interactions, such as those involving children. This paper demonstrates the use of a distance-based model for the recognition and expression of spatial social behavior. The model was designed to classify averse social behavior of a child engaged in playful interaction with a robot and uses distance-based features to autonomously identify interaction/play, avoidance, wall-hugging, and parent-proximity behavior with 94% accuracy. The same methodology was used to model the spatial aspects of a person following a robot and use the model as part of a modified navigation planner to enable the robot to exhibit socially-aware goal-oriented navigation behavior. The model-based planner resulted in robot navigation behavior that was more effective at allowing a partner to follow the robot. This effect was demonstrated using quantitative measures of navigation performance and observer rating of the robot's behavior. These two uses of spatial models were implemented on complete robot systems and validated in evaluation studies with children with autism spectrum disorders and with neurotypical adults.
{"title":"Distance-based computational models for facilitating robot interaction with children","authors":"David Feil-Seifer, M. Matarić","doi":"10.5898/JHRI.1.1.Feil-Seifer","DOIUrl":"https://doi.org/10.5898/JHRI.1.1.Feil-Seifer","url":null,"abstract":"Sensing and interpreting the user's activities and social behavior, monitoring the dynamics of the social context, and selecting and producing appropriate robot action are the core challenges involved in using robots as social tools in interaction scenarios. In social human-robot interaction, speech and gesture are the commonly considered interaction modalities. In human-human interactions, interpersonal distance between people can contain significant social and communicative information. Thus, if human-robot interaction reflects this human-human interaction property, then human-robot distances also convey social information. If a robot is to be an effective social agent, its actions, including those relating to interpersonal distance, must be appropriate for the given social situation. This becomes a greater challenge in playful and unstructured interactions, such as those involving children. This paper demonstrates the use of a distance-based model for the recognition and expression of spatial social behavior. The model was designed to classify averse social behavior of a child engaged in playful interaction with a robot and uses distance-based features to autonomously identify interaction/play, avoidance, wall-hugging, and parent-proximity behavior with 94% accuracy. The same methodology was used to model the spatial aspects of a person following a robot and use the model as part of a modified navigation planner to enable the robot to exhibit socially-aware goal-oriented navigation behavior. The model-based planner resulted in robot navigation behavior that was more effective at allowing a partner to follow the robot. This effect was demonstrated using quantitative measures of navigation performance and observer rating of the robot's behavior. These two uses of spatial models were implemented on complete robot systems and validated in evaluation studies with children with autism spectrum disorders and with neurotypical adults.","PeriodicalId":92076,"journal":{"name":"Journal of human-robot interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5898/JHRI.1.1.Feil-Seifer","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71217836","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}
Human-Robot Interaction (HRI) systems are often realized through a complex integration of relevant state-of-the-art algorithms, low-level software and robotic hardware. As such, advances in techniques and approaches for integrating components into a robotic system are essential to advance the field. To develop such techniques and systems requires one to address real-world challenges, particularly those arising from the complex nature of human-robot interaction embedded in a dynamic social and/or task environment. This special issue focuses on the concept of "systems", highlighting the importance of building actual HRI systems to validate and drive the science and technology in the field.
{"title":"Introduction to the special issue on HRI system studies","authors":"T. Kanda, Tony Belpaeme","doi":"10.5898/JHRI.2.1.Kanda","DOIUrl":"https://doi.org/10.5898/JHRI.2.1.Kanda","url":null,"abstract":"Human-Robot Interaction (HRI) systems are often realized through a complex integration of relevant state-of-the-art algorithms, low-level software and robotic hardware. As such, advances in techniques and approaches for integrating components into a robotic system are essential to advance the field. To develop such techniques and systems requires one to address real-world challenges, particularly those arising from the complex nature of human-robot interaction embedded in a dynamic social and/or task environment. This special issue focuses on the concept of \"systems\", highlighting the importance of building actual HRI systems to validate and drive the science and technology in the field.","PeriodicalId":92076,"journal":{"name":"Journal of human-robot interaction","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5898/JHRI.2.1.Kanda","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71217895","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：