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Article
Publication date: 21 December 2015

Joan Saez-Pons, Dag Sverre Syrdal and Kerstin Dautenhahn

Memory deterioration is one of the most common cognitive issues associated with ageing. Not being able to remember daily routines (e.g. taking medicine) poses a serious threat to…

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Abstract

Purpose

Memory deterioration is one of the most common cognitive issues associated with ageing. Not being able to remember daily routines (e.g. taking medicine) poses a serious threat to personal independence. Smart homes combined with assistive robots have been suggested as an acceptable solution to support the independent living of the older people. The purpose of this paper is to develop a memory visualisation tool in robots and smart houses following the hypothesis that the use of memory aids will have a positive effect on the cognitive capabilities of older people.

Design/methodology/approach

This paper describes the iterative development process and evaluation of a novel interface to visualise the episodic memory of a socially assistive robotic system which could help to improve the memory capabilities of older users. Two experimental studies were carried out to assess usability, usefulness and envisaged use of such a system.

Findings

Results show that users find a memory tool for the robot useful to help them remember daily routines and when trying to recall previous events. Usability results emphasise the need to tailor the memory tool to specific age ranges.

Originality/value

The research to date provides support that for assistive robots to be a truly useful tool, they must be able to deliver episodic memory visualisation tools that enhance day-to-day living (i.e. environmental information, data on the robot’s actions and human-robot interaction episodes). Equipping a robotic companion with a novel memory visualisation tool for episodic memory is an excellent opportunity to have a robot provide such a functionality (cognitive prosthetics).

Details

Journal of Assistive Technologies, vol. 9 no. 4
Type: Research Article
ISSN: 1754-9450

Keywords

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Article
Publication date: 21 December 2015

Chris Abbott

202

Abstract

Details

Journal of Assistive Technologies, vol. 9 no. 4
Type: Research Article
ISSN: 1754-9450

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