Hewitt, M. orcid.org/0000-0002-4392-5869, Rodríguez Muñoz, T. orcid.org/0000-0001-9402-4799 and Huang, G. orcid.org/0000-0002-0266-6987 (2023) Melodica: an affordable music companion. In: Castellano, G., Riek, L., Cakmak, M. and Leite, I., (eds.) HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. HRI '23: ACM/IEEE International Conference on Human-Robot Interaction, 13-16 Mar 2023, Stockholm, Sweden. Association for Computing Machinery (ACM) , pp. 806-809. ISBN 9781450399708
Abstract
Melodica is a situated robot we envision will help users practise mindfulness and overcome social disconnection through music. At a time when there are insufficient mental health resources, several AI tools have been designed to support people. Whereas these employ therapeutic practice, Melodica uses music as an approach to self-care. Music is a universal language, accessible to everyone, and helps to connect people from different cultures, age groups, and socio-economic backgrounds. Melodica is designed to be an inclusive and affordable robot that aims to accompany users and enrich their musical experiences, bringing people joy and solace to their everyday lives.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2023 ACM. This is an author-produced version of a paper subsequently published in HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | affordability; human-robot interaction (hri); inclusive technologies; interoperable design; mindfulness; music |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/S023062/1 Engineering and Physical Sciences Research Council 2638499 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Mar 2024 15:47 |
Last Modified: | 13 Mar 2024 17:07 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Identification Number: | 10.1145/3568294.3580188 |
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Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210102 |