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Effects of Collaborative Learning between Educational-Support Robots and Children who Potential Symptoms of a Development Disability.

, , , , and . SCIS&ISIS, page 266-270. IEEE, (2016)

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A Verification of Visualization Ability of Onomatopoeia Thesaurus Map for Sound-Symbolism on Japanese Vowels., , , and . SCIS/ISIS, page 1-5. IEEE, (2020)Similarity-Based Approach to Earthenware Reconstruction., , , and . ICIAP, page 478-483. IEEE Computer Society, (2001)Consideration of Life Rhythm for Hearing-Dog Robots Searching for User., , , , , and . TAAI, page 102-105. IEEE Computer Society, (2018)Method of extracting characteristic facial expression for monitoring system., , and . TAAI, page 502-505. IEEE, (2015)A Consideration on Initial Parameter Setting using Onomatopoeias for Interactive Design Tools., , , , and . FUZZ-IEEE, page 1-5. IEEE, (2019)Black-and-white drawing support for adobe illustrator using onomatopoeia., , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Effect of robot utterances using onomatopoeia on collaborative learning., , , , and . FUZZ-IEEE, page 1268-1272. IEEE, (2014)Effect of collaborative learning with robot that prompts constructive interaction., , , and . SMC, page 2983-2988. IEEE, (2014)An Investigation of Phonological Features and Acoustic Features to Auto-Classify Japanese Onomatopoeias into Semantic Usage Category., , , , , and . SCIS&ISIS, page 220-225. IEEE, (2018)Feasibility of Collaborative Learning and Work Between Robots and Children with Autism Spectrum Disorders., , , , and . JSAI-isAI Workshops, volume 10091 of Lecture Notes in Computer Science, page 454-461. (2015)