The IET Premium Awards - Healthcare Technology Letters

Thorpe, Julia Rosemary (Recipient), Rønn-Andersen, Kristoffer (Recipient), Bien, Paulina (Recipient), Özkil, Ali Gürcan (Recipient), Hysse Forchhammer , Birgitte (Recipient) & Maier, Anja (Recipient)

Copenhagen Center for Health Technology

Prize: Prizes, scholarships, distinctions

Description

Best journal paper in on wearable technology for people with dementia

Awarded date	27 Jun 2018
Degree of recognition	International
Granting Organisations	Institution of Engineering and Technology

Keywords

mHealth
Personal Healthcare Technology
Dementia
Design
User Centred Design
Human Centred Design
Healthcare
Wearables
Healthcare Design
Engineering Systems Design

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Documents & Links

2016-Thorpe et al-assistive technology for peope with dementia - user centred design - HTL-SI-2016-0057
File: application/pdf, 588 KB
Type: Text file

Thorpe, J.R., Rønn-Andersen, K.V.H., Bień, P., Özkil, A.G., Forchhammer, B.H., Maier, A.M. : ‘ Pervasive assistive technology for people with dementia: a UCD case ’, Healthcare Technology Letters, 2016, 3, (4), pp. 297–302 Smart mobile and wearable technology offers exciting opportunities to support people with dementia (PwD). Its ubiquity and popularity could even benefit user adoption – a great challenge for assistive technology (AT) for PwD that calls for user-centred design (UCD) methods. This study describes a user-centred approach to developing and testing AT based on off-the-shelf pervasive technologies. A prototype is created by combining a smartphone, smartwatch and various applications to offer six support features. This is tested among five end-users (PwD) and their caregivers. Controlled usability testing was followed by field testing in a real-world context. Data is gathered from video recordings, interaction logs, system usability scale questionnaires, logbooks, application usage logs and interviews structured on the unified theory of acceptance and use of technology model. The data is analysed to evaluate usability, usefulness and user acceptance. Results show some promise for user adoption, but highlight challenges to be overcome, emphasising personalisation and familiarity as key considerations. The complete findings regarding usability issues, usefulness of support features and four identified adoption profiles are used to provide a set of recommendations for practitioners and further research. These contribute toward UCD practices for improved smart, pervasive AT for dementia.