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Hearing it Out: Guiding Robot Sound Design through Design Thinking
Oregon State Univ, Collaborat Robot & Intelligent Syst Inst, Corvallis, OR 97331 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-8601-1370
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-3086-0322
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2023 (English)In: 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 2064-2071Conference paper, Published paper (Refereed)
Abstract [en]

Sound can benefit human-robot interaction, but little work has explored questions on the design of nonverbal sound for robots. The unique confluence of sound design and robotics expertise complicates these questions, as most roboticists do not have sound design expertise, necessitating collaborations with sound designers. We sought to understand how roboticists and sound designers approach the problem of robot sound design through two qualitative studies. The first study followed discussions by robotics researchers in focus groups, where these experts described motivations to add robot sound for various purposes. The second study guided music technology students through a generative activity for robot sound design; these sound designers in-training demonstrated high variability in design intent, processes, and inspiration. To unify the two perspectives, we structured recommendations through the design thinking framework, a popular design process. The insights provided in this work may aid roboticists in implementing helpful sounds in their robots, encourage sound designers to enter into collaborations on robot sound, and give key tips and warnings to both.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 2064-2071
Series
IEEE RO-MAN, ISSN 1944-9445
National Category
Design
Identifiers
URN: urn:nbn:se:kth:diva-342045DOI: 10.1109/RO-MAN57019.2023.10309489ISI: 001108678600269Scopus ID: 2-s2.0-85186967284OAI: oai:DiVA.org:kth-342045DiVA, id: diva2:1826018
Conference
32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), AUG 28-31, 2023, Busan, SOUTH KOREA
Note

Part of proceedings ISBN 979-8-3503-3670-2

QC 20240110

Available from: 2024-01-10 Created: 2024-01-10 Last updated: 2024-03-22Bibliographically approved

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Torre, IlariaBresin, RobertoLeite, Iolanda

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