Singapore Institute of Technology

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Non-Verbal Auditory Aspects of Human-Service Robot Interaction

conference contribution
posted on 2024-04-03, 05:14 authored by Jeannie S. A. LeeJeannie S. A. Lee, Muhamed Fauzi AbbasMuhamed Fauzi Abbas, Chee Kiat Seow, Qi Cao, Kar Peo YarKar Peo Yar, Sye Loong Keoh, Ian McLoughlinIan McLoughlin

As service robots become ever more pervasive, the number, degree and depth of interaction with humans, particularly fellow workers, is increasing rapidly. Humans are generally shaped alike, respond in predominantly similar ways and are often inherently predictable to other humans. Robots, by contrast, have an exceptional diversity of size, shape, mobility, function, and their intentions or actions are often less predictable. Humans working in close proximity have learnt to provide cues to their behaviour, both verbal and non-verbal, and we argue that this is an important aspect of maintaining both safety and comfort in a mixed work or social environment. At present, robots do not provide any such cues to their fellow workers, which can be cause of human discomfort, and indeed contribute to safety issues when working in close proximity to humans. This paper considers the non-verbal auditory aspects of interaction in a work environment, with particular emphasis on safe and comfortable integration of service robots into such locations. In particular, we propose a classification of interaction levels to inform the construction, programming and operation of robots in the workplace.


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2021 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 11-12 December 2021, Singapore.

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