The multi-modal interface of Robot-Era multi-robot services tailored for the elderly

Alessandro Di Nuovo, Frank Broz, Ning Wang, Tony Belpaeme, Angelo Cangelosi, Ray Jones, Raffaele Esposito, Filippo Cavallo, Paolo Dario

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)
22 Downloads (Pure)

Abstract

Socially assistive robotic platforms are now a realistic option for the long-term care of ageing populations. Elderly users may benefit from many services provided by robots operating in different environments, such as providing assistance inside apartments, serving in shared facilities of buildings or guiding people outdoors. In this paper, we present the experience gained within the EU FP7 ROBOT-ERA project towards the objective of implementing easy-to-use and acceptable service robotic system for the elderly. In particular, we detail the user-centred design and the experimental evaluation in realistic environments of a web-based multi-modal user interface tailored for elderly users of near future multi-robot services. Experimental results demonstrate positive evaluation of usability and willingness to use by elderly users, especially those less experienced with technological devices who could benefit more from the adoption of robotic services. Further analyses showed how multi-modal modes of interaction support more flexible and natural elderly–robot interaction, make clear the benefits for the users and, therefore, increase its acceptability. Finally, we provide insights and lessons learned from the extensive experimentation, which, to the best of our knowledge, is one of the largest experimentation of a multi-robot multi-service system so far.

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalIntelligent Service Robotics
Volume11
Issue number1
Early online date2 Sep 2017
DOIs
Publication statusPublished - Jan 2018

Keywords

  • Elderly care
  • Human–robot interaction
  • Multi-modal user interface
  • Socially assistive robotics
  • User-centred design

ASJC Scopus subject areas

  • Computational Mechanics
  • Engineering (miscellaneous)
  • Mechanical Engineering
  • Artificial Intelligence

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