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Confirmation detection in human-agent interaction using non-lexical speech cues ...
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Confirmation detection in human-agent interaction using non-lexical speech cues
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An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.inria.fr/hal-01404385 ; Frontiers in Psychology, Frontiers, 2016, 7, pp.18. ⟨10.3389/fpsyg.2016.00470⟩ ; http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00470/full (2016)
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Pragmatic Frames for Teaching and Learning in Human–Robot Interaction: Review and Challenges
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Embodied language learning and cognitive bootstrapping: methods and design principles
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Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
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Bisio, Ambra; Nolfi, Stefano; Tani, Jun; Metta, Giorgio; Foerster, Frank; Belpaeme, Tony; Lehmann, Hagen; Wrede, Britta; Cangelosi, Angelo; Zeschel, Arne; Rohlfing, Katharina; Morse, Anthony; Sciutti, Alessandra; Lyon, Caroline; Tuci, Elio; Nehaniv, Chrystopher; Fischer, Kerstin; Nori, Francesco; Saunders, Joe; Mohan, Vishwanathan. - 2016
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Abstract:
© 2016 Author(s). Licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ; Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods. ; Peer reviewed
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Keyword:
cognitive architecture; Cognitive bootstrapping; Computer Science(all); Developmental robotics; human robot interaction; Language; negation; Neuroscience(all); Psychology(all); Robot Language; statistical learning
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URL: http://hdl.handle.net/2299/17419
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An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
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Alignment to the Actions of a Robot
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In: ISSN: 1875-4791 ; EISSN: 1875-4805 ; International Journal of Social Robotics ; https://hal.inria.fr/hal-01249226 ; International Journal of Social Robotics, Springer, 2015, ⟨10.1007/s12369-014-0252-0⟩ (2015)
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The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
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Towards robots with teleological action and language understanding
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In: Humanoids 2012 Workshop on Developmental Robotics: Can developmental robotics yield human-like cognitive abilities? ; https://hal.inria.fr/hal-00788627 ; Humanoids 2012 Workshop on Developmental Robotics: Can developmental robotics yield human-like cognitive abilities?, Nov 2012, Osaka, Japan (2012)
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Modelling the effects of speech rate variation for automatic speech recognition
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