University of Hertfordshire

From the same journal

By the same authors

Documents

  • 07322264

    Final published version, 737 KB, PDF-document

View graph of relations
Original languageEnglish
Pages (from-to)29-40
JournalIEEE Transactions on Human-Machine Systems
Journal publication date1 Feb 2016
Volume46
Issue1
Early online date9 Nov 2015
DOIs
StatePublished - 1 Feb 2016

Abstract

Care issues and costs associated with an increasing elderly population is becoming a major concern for many countries. The use of assistive robots in ‘smart-home’ environments has been suggested as a possible partial solution to these concerns. One of the many challenges faced is the personalisation of the robot to meet the changing needs of the elderly person over time. One approach is to allow the elderly person, or their
carers or relatives, to teach the robot to both recognise activities in the smart home and to teach it to carry out behaviours in response to these activities. The overriding premise being that such teaching is both intuitive and ‘non-technical’. As part of a European project researching and evaluating these issues a commercially available autonomous robot has been deployed in a fully sensorised but otherwise ordinary suburban house.
Occupants of the house are equipped with a non-technical teaching and learning system. This paper details the design approach to the teaching, learning, robot and smart home systems as an integrated unit and presents results from an evaluation of the teaching component and a preliminary evaluation of the learning component in a Human-Robot interaction experiment. Results from this evaluation indicated that participants overall found this approach to personalisation useful, easy to use, and felt that they would be capable of using it in a real-life situation
both for themselves and for others. However there were also some salient individual differences within the sample.

Notes

© 2015 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information.

ID: 9165341