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Shimaya, Jiro; Yoshikawa, Yuichiro; Ogawa, Kohei; Ishiguro, Hiroshi – Journal of Computer Assisted Learning, 2021
Encouraging students to actively ask questions during lectures is a formidable challenge that can be addressed through innovative use of information technology. We developed a robotic system that allows students in a lecture to collaboratively decide questions to be asked by a humanoid robot. To verify whether the system reduces hesitation to ask…
Descriptors: Robotics, Technology Integration, Questioning Techniques, Synchronous Communication
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Kumazaki, Hirokazu; Sumioka, Hidenobu; Muramatsu, Taro; Yoshikawa, Yuichiro; Shimaya, Jiro; Iwanaga, Ryoichiro; Ishiguro, Hiroshi; Sumiyoshi, Tomiki; Mimura, Masaru – Journal of Autism and Developmental Disorders, 2022
Sensory overresponsivity (SOR) emerges before anxiety and positively predicts subsequent increasing levels of anxiety in individuals with autism spectrum disorder (ASD). Sensory seeking behavior occurs as compensation for SOR, and individuals may seek sensory input in one sensory domain to compensate for SOR. Tactile seeking behavior is sufficient…
Descriptors: Program Effectiveness, Interpersonal Relationship, Tactual Perception, Interpersonal Communication
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Kumazaki, Hirokazu; Warren, Zachary; Swanson, Amy; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Yoshimura, Yuko; Shimaya, Jiro; Ishiguro, Hiroshi; Sarkar, Nilanjan; Wade, Joshua; Mimura, Masaru; Minabe, Yoshio; Kikuchi, Mitsuru – Journal of Autism and Developmental Disorders, 2019
Technological agents could be effective tools to be used in interventions for enhancing social orienting for some young children with ASD. We examined response to social bids in preschool children with ASD and typical development (TD) at a very early age (i.e., around 3 years) using social prompts presented by technological agents of various forms…
Descriptors: Autism, Pervasive Developmental Disorders, Attention, Assistive Technology
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Kumazaki, Hirokazu; Muramatsu, Taro; Yoshikawa, Yuichiro; Yoshimura, Yuko; Ikeda, Takashi; Hasegawa, Chiaki; Saito, Daisuke N.; Shimaya, Jiro; Ishiguro, Hiroshi; Mimura, Masaru; Kikuchi, Mitsuru – Journal of Autism and Developmental Disorders, 2019
We investigated the feasibility of our novel evaluation system for use with children with autism spectrum disorders (ASD). We prepared the experimental setting with two humanoid robots in reference to the birthday party scene in the Autism Diagnostic Observational Schedule (ADOS). We assessed the relationship between social communication ability…
Descriptors: Autism, Pervasive Developmental Disorders, Robotics, Feasibility Studies
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Kumazaki, Hirokazu; Warren, Zachary; Swanson, Amy; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Ishiguro, Hiroshi; Sarkar, Nilanjan; Minabe, Yoshio; Kikuchi, Mitsuru – Journal of Autism and Developmental Disorders, 2018
Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophysiology of autism spectrum disorders (ASD). We investigated whether impressions of "humanness" for android robot might represent a candidate characteristic of an ASD endophenotype. We used a female type of android robot with an appearance…
Descriptors: Autism, Pervasive Developmental Disorders, Robotics, Adolescents
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Kumazaki, Hirokazu; Muramatsu, Taro; Yoshikawa, Yuichiro; Corbett, Blythe A.; Matsumoto, Yoshio; Higashida, Haruhiro; Yuhi, Teruko; Ishiguro, Hiroshi; Mimura, Masaru; Kikuchi, Mitsuru – Autism: The International Journal of Research and Practice, 2019
Job interviews are significant barriers for individuals with autism spectrum disorder because these individuals lack good nonverbal communication skills. We developed a job interview training program using an android robot. The job interview training program using an android robot consists the following three stages: (1) tele-operating an android…
Descriptors: Employment Interviews, Training, Nonverbal Communication, Robotics
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Iio, Takamasa; Maeda, Ryota; Ogawa, Kohei; Yoshikawa, Yuichiro; Ishiguro, Hiroshi; Suzuki, Kaori; Aoki, Tomohiro; Maesaki, Miharu; Hama, Mika – Journal of Computer Assisted Learning, 2019
This paper reports how robot-assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To…
Descriptors: English (Second Language), Pretests Posttests, Asians, Accuracy