Experimental evaluation of a multi-modal user interface for a robotic service

DI NUOVO, Alessandro, WANG, Ning, BROZ, Frank, BELPAEME, Tony, JONES, Ray and CANGELOSI, Angelo (2016). Experimental evaluation of a multi-modal user interface for a robotic service. In: ALBOUL, Lyuba, DAMIEN, Dana and AITKEN, Jonathan M., (eds.) Towards autonomous robotic systems, 17th Annual Conference, TAROS 2016, Sheffield, UK, June 26--July 1, 2016, Proceedings. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence (9716). Springer International Publishing, 87-98.

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3...
Link to published version:: https://doi.org/10.1007/978-3-319-40379-3_9
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    Abstract

    This paper reports the experimental evaluation of a Multi- Modal User Interface (MMUI) designed to enhance the user experience in terms of service usability and to increase acceptability of assistive robot systems by elderly users. The MMUI system offers users two main modalities to send commands: they are a GUI, usually running on the tablet attached to the robot, and a SUI, with a wearable microphone on the user. The study involved fifteen participants, aged between 70 and 89 years old, who were invited to interact with a robotic platform customized for providing every-day care and services to the elderly. The experimental task for the participants was to order a meal from three different menus using any interaction modality they liked. Quantitative and qualitative data analyses demonstrate a positive evaluation by users and show that the multi-modal means of interaction can help to make elderly-robot interaction more flexible and natural.

    Item Type: Book Section
    Additional Information: Series ISSN : 0302-9743.
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1007/978-3-319-40379-3_9
    Page Range: 87-98
    Depositing User: Margaret Boot
    Date Deposited: 27 Sep 2016 08:50
    Last Modified: 28 Jan 2019 14:31
    URI: http://shura.shu.ac.uk/id/eprint/13375

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