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From Biological Synapses to “Intelligent” Robots
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In: ISSN: 2079-9292 ; Electronics ; https://hal.archives-ouvertes.fr/hal-03590998 ; Electronics, MDPI, 2022, 11 (5), pp.707. ⟨10.3390/electronics11050707⟩ (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Finding the best way to put media bias research into practice via an annotation app ...
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Are neural language models sensitive to false belief? A computational study. ...
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Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
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Can distributional semantics explain performance on the false belief task? ...
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Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
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Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues ...
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Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse
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In: Research outputs 2014 to 2021 (2022)
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Integrating Blockchains and Intelligent Agents in the Pursuit of Artificial General Intelligence
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In: Senior Honors Theses (2022)
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Grounding Language to Autonomously-Acquired Skills via Goal Generation
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In: ICLR 2021 - Ninth International Conference on Learning Representation ; https://hal.inria.fr/hal-03121146 ; ICLR 2021 - Ninth International Conference on Learning Representation, May 2021, Vienna / Virtual, Austria (2021)
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"It Is Not the Robot Who Learns, It Is Me." Treating Severe Dysgraphia Using Child-Robot Interaction
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Gargot, Thomas; Asselborn, Thibault; Zammouri, Ingrid; Brunelle, Julie; Johal, Wafa; Dillenbourg, Pierre; Archambault, Dominique; Chetouani, Mohamed; Cohen, David,; Anzalone, Salvatore
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In: ISSN: 1664-0640 ; Frontiers in Psychiatry ; https://hal.sorbonne-universite.fr/hal-03152170 ; Frontiers in Psychiatry, Frontiers, 2021, 12, pp.596055. ⟨10.3389/fpsyt.2021.596055⟩ (2021)
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Abstract:
International audience ; Writing disorders are frequent and impairing. However, social robots may help to improve children’s motivation and to propose enjoyable and tailored activities. Here, we have used the Co-writer scenario in which a child is asked to teach a robot how to write via demonstration on a tablet, combined with a series of games we developed to train specifically pressure, tilt, speed, and letter liaison controls. This setup was proposed to a 10-year-old boy with a complex neurodevelopmental disorder combining phonological disorder, attention deficit/hyperactivity disorder, dyslexia, and developmental coordination disorder with severe dysgraphia. Writing impairments were severe and limited his participation in classroom activities despite 2 years of specific support in school and professional speech and motor remediation. We implemented the setup during his occupational therapy for 20 consecutive weekly sessions. We found that his motivation was restored; avoidance behaviors disappeared both during sessions and at school; handwriting quality and posture improved dramatically. In conclusion, treating dysgraphia using child–robot interaction is feasible and improves writing. Larger clinical studies are required to confirm that children with dysgraphia could benefit from this setup.
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Keyword:
[INFO.EIAH]Computer Science [cs]/Technology for Human Learning; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SCCO.NEUR]Cognitive science/Neuroscience; [SCCO.PSYC]Cognitive science/Psychology; [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics; dysgraphia; handwriting; human-robot interaction; learning-byteaching; occupational therapy; serious-game
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URL: https://hal.sorbonne-universite.fr/hal-03152170 https://doi.org/10.3389/fpsyt.2021.596055 https://hal.sorbonne-universite.fr/hal-03152170/file/fpsyt-12-596055.pdf https://hal.sorbonne-universite.fr/hal-03152170/document
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Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech
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In: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://hal.inria.fr/hal-03031413 ; IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩ ; https://ieeexplore.ieee.org/abstract/document/9548713/metrics#metrics (2021)
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Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
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In: ISSN: 2296-9144 ; Frontiers in Robotics and AI ; https://hal.archives-ouvertes.fr/hal-03409678 ; Frontiers in Robotics and AI, Frontiers Media S.A., 2021, 8, ⟨10.3389/frobt.2021.699090⟩ (2021)
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Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech ...
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Measuring Equity Mindsets and Improvisational Practices Through Language Patterns in Equity Simulations ...
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Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales ...
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VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ...
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Embodying Pre-Trained Word Embeddings Through Robot Actions ...
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