Syed Khursheed Hasnain, Ghilès Mostafaoui, R. Salesse, L. Marin, P. Gaussier
{"title":"Intuitive human robot interaction based on unintentional synchrony: A psycho-experimental study","authors":"Syed Khursheed Hasnain, Ghilès Mostafaoui, R. Salesse, L. Marin, P. Gaussier","doi":"10.1109/DEVLRN.2013.6652569","DOIUrl":"https://doi.org/10.1109/DEVLRN.2013.6652569","url":null,"abstract":"Inspired by studies of interpersonal coordinations, we assumed that unintentional synchrony is a fundamental parameter to initiate and maintain Human Machine interactions. We developed, in our previous works, a neural model allowing a robot to synchronize its behavior depending on the human movement frequency, and thus to choose this interacting partner on the basis of synchrony detection between its own learned dynamics and the visual stimuli induced by the human motion. To confirm or deny our assumptions we present here a psychological study to measure unintentional synchronization during Unidirectional and Bidirectional Human Robot Interaction using our previously proposed model for initiating the interaction and focusing the robot attention on a selected partner. The experimental results demonstrated that bidirectional intuitive interaction leading to possible unintentional synchronization is primordial to obtain natural human robot interactions using a minimal cognitive load (unintentional behavior).","PeriodicalId":106997,"journal":{"name":"2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124040485","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}
{"title":"Salience-based reinforcement of a spiking neural network leads to increased syllable production","authors":"A. Warlaumont","doi":"10.1109/DEVLRN.2013.6652547","DOIUrl":"https://doi.org/10.1109/DEVLRN.2013.6652547","url":null,"abstract":"Canonical babbling is vocal babbling that contains syllabic patterning like that in adult speech. Its emergence during the first year of human infancy is one of the most significant pre-speech vocal motor milestones. This paper focuses on a spiking neural network model that controls the lip and jaw muscles of an articulatory speech synthesizer and learns to produce canonical babbling. The model was adapted to receive reinforcement when it produced a sound with high auditory salience. Salience-reinforced versions of the model increased their rates of canonical babbling over the course of learning more than their yoked controls. This supports the idea that both intrinsic reinforcement and social reinforcement both contribute to human acquisition of canonical babbling.","PeriodicalId":106997,"journal":{"name":"2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078028","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}
Guner Orhan, Sertaç Olgunsoylu, E. Sahin, Sinan Kalkan
{"title":"Co-learning nouns and adjectives","authors":"Guner Orhan, Sertaç Olgunsoylu, E. Sahin, Sinan Kalkan","doi":"10.1109/DEVLRN.2013.6652550","DOIUrl":"https://doi.org/10.1109/DEVLRN.2013.6652550","url":null,"abstract":"In cognitive robotics community, categories belonging to adjectives and nouns have been learned separately and independently. In this article, we propose a prototype-based framework that conceptualize adjectives and nouns as separate categories that are, however, linked to and interact with each other. We demonstrate how this co-learned concepts might be useful for a cognitive robot, especially using a game called “What object is it?” that involves finding an object based on a set of adjectives.","PeriodicalId":106997,"journal":{"name":"2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131320858","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}