Melodica: an affordable music companion

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

Authors/Creators:

Hewitt, M. https://orcid.org/0000-0002-4392-5869
Rodríguez Muñoz, T. https://orcid.org/0000-0001-9402-4799
Huang, G. https://orcid.org/0000-0002-0266-6987

© 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:

Published (online): 13 March 2023
Published: 13 March 2023

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:

https://doi.org/10.1145/3568294.3580188

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Melodica: an affordable music companion

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