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Robotic Music Therapy Assistant: A Cognitive Game Playing Robot

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Social Robotics (ICSR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14454))

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Abstract

Music Therapy is a non-pharmacological treatment used to maintain/enhance cognitive abilities, on the basis that music is able to simultaneously activate multiple brain functions. In this paper we propose the combination of Music Therapy (MT) with cognitive training games administered by a humanoid robot (QT robot of LUXAI). This intervention is intended to mitigate cognitive decline in individuals with mild cognition impairment, while reducing the load on therapists and care staff, by offering MT to a larger population. The four implemented music-themed cognitive games elicit activation of different sets of cognitive functions, producing an overall multi-domain treatment, and adapt to subject’s preferences, skills and progress. We present here results from two pilot studies on our robotic-aided MT setup, and identify key factors necessary to increasing the success and feasibility of the approach.

Research Funded by Dunhill Medical Trust. Grant number: RPGF2006/241.

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Notes

  1. 1.

    https://luxai.com/.

  2. 2.

    This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Middlesex University (28/01/2022/number 14845). All participants provided written informed consent before taking part in the study.

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Author information

Authors and Affiliations

  1. Middlesex University, The Burroughs, London, NW4 4BT, UK

    Jwaad Hussain, Anthony Mangiacotti, Fabia Franco & Eris Chinellato

Authors
  1. Jwaad Hussain
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  2. Anthony Mangiacotti
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  3. Fabia Franco
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  4. Eris Chinellato
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Corresponding author

Correspondence to Jwaad Hussain .

Editor information

Editors and Affiliations

  1. Qatar University, Doha, Qatar

    Abdulaziz Al Ali

  2. Qatar University, Doha, Qatar

    John-John Cabibihan

  3. Qatar University, Doha, Qatar

    Nader Meskin

  4. University of Naples Federico II, Napoli, Italy

    Silvia Rossi

  5. Qingdao University, Qingdao, China

    Wanyue Jiang

  6. The University of Alabama, Tuscaloosa, AL, USA

    Hongsheng He

  7. National University of Singapore, Queenstown, Singapore

    Shuzhi Sam Ge

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hussain, J., Mangiacotti, A., Franco, F., Chinellato, E. (2024). Robotic Music Therapy Assistant: A Cognitive Game Playing Robot. In: Ali, A.A., et al. Social Robotics. ICSR 2023. Lecture Notes in Computer Science(), vol 14454. Springer, Singapore. https://doi.org/10.1007/978-981-99-8718-4_8

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  • DOI: https://doi.org/10.1007/978-981-99-8718-4_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8717-7

  • Online ISBN: 978-981-99-8718-4

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