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Intelligent Cognitive Fusion in Human-Robot Interaction: A Autism Spectrum Disorder Case Study

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Human-Computer Interaction (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14685))

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Abstract

Edge computing has recently emerged as a transformative concept, facilitating the development of future technologies such as AI, robotics, IoT, and high-speed wireless sensor networks like 5G. It achieves this by bridging the gap between cloud computing resources and end-users. In the context of medical and healthcare applications, edge computing plays a crucial role in enabling remote patient monitoring and handling large volumes of multimedia data. One specific area where edge computing has made significant strides is in the field of robotics, particularly in the domain of robot-assisted therapy (RAT). RAT is an active-assistive robotic technology within the realm of rehabilitation robotics, garnering considerable attention from researchers. Its primary objective is to benefit individuals with disabilities, such as children with autism spectrum disorder (ASD). However, RAT faces a substantial challenge, namely the development of models capable of accurately detecting the emotional states of individuals with ASD and retaining knowledge of their unique preferences. Furthermore, incorporating expert diagnosis and recommendations to guide robots in adapting therapy approaches to varying conditions and scenarios is essential to the ASD therapy process. This paper proposes a novel architecture known as edge cognitive computing, which seamlessly integrates human experts and assisted robots within the same framework to provide long-term support for ASD patients. By combining real-time computing and analysis through an innovative cognitive robotic model designed for ASD therapy, this proposed architecture achieves several critical functionalities. These include uninterrupted remote diagnosis, continuous symptom monitoring, rapid response to emergencies, dynamic therapy adjustments, and advanced assistance, all aimed at enhancing the well-being of individuals with ASD.

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Authors and Affiliations

  1. Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Huddersfield, Queensgate, HD1 3DH, UK

    Tariq Alsboui & Faisal Jamil

  2. Department of Health Sciences in Ålesund, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Larsgårdsvegen 2, 6009, Ålesund, Norway

    Abeer Badawy, Ibrahim Alqatawneh & Ibrahim A. Hameed

  3. School of Computer Science, The University of Sunderland, Sunderland, UK

    Tariq Alsboui, Abeer Badawy, Faisal Jamil, Ibrahim Alqatawneh & Ibrahim A. Hameed

  4. Department of ICT and Natural Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Larsgårdsvegen 2, 6009, Ålesund, Norway

    Tariq Alsboui, Abeer Badawy, Faisal Jamil, Ibrahim Alqatawneh & Ibrahim A. Hameed

Authors
  1. Tariq Alsboui
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  2. Abeer Badawy
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  3. Faisal Jamil
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  4. Ibrahim Alqatawneh
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  5. Ibrahim A. Hameed
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Correspondence to Faisal Jamil .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Alsboui, T., Badawy, A., Jamil, F., Alqatawneh, I., Hameed, I.A. (2024). Intelligent Cognitive Fusion in Human-Robot Interaction: A Autism Spectrum Disorder Case Study. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2024. Lecture Notes in Computer Science, vol 14685. Springer, Cham. https://doi.org/10.1007/978-3-031-60412-6_1

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  • DOI: https://doi.org/10.1007/978-3-031-60412-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60411-9

  • Online ISBN: 978-3-031-60412-6

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