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Empirically derived user attributes for the design of home healthcare technologies

Author(s)
Burrows, Alison  
Gooberman-Hill, Rachael  
Coyle, David  
Uri
http://hdl.handle.net/10197/7665
Date Issued
2015-12
Date Available
2016-06-08T08:28:03Z
Abstract
Designing effective home healthcare technologies is a complex task. In order to succeed, it is important to look beyond purely technology-driven solutions and to develop technologies and services that are flexible and reflect a sensitive understanding of the diverse users of such systems. The key contribution of this paper is to introduce 15 empirically derived attributes that can help designers to build a more detailed understanding of the potential users of home healthcare systems. The attributes are spread across four broad themes: technology in the home, experiences of technology, experiences of health and care, and thoughts about smart home technology for health and care. These themes and attributes emerged from an ethnographic study in which we interviewed people across 15 households. All interviews took place in people’s homes and were supplemented by home technology tours and cultural probes. It is intended that the 15 attributes be used in conjunction with demographic and household data to build a richer picture of personal experiences of home, health, and technology in real-life contexts. The aim was to provide an inclusive framework, based on empirically derived attributes, that helps to inform an overall user-centred design approach. To demonstrate one application of the attributes in design, the paper provides in-depth example of their use in the development of a rich set of data-driven personas.
Other Sponsorship
SPHERE-IRC
UK Engineering and Physical Sciences Research Council (EPSRC)
Type of Material
Journal Article
Publisher
Springer
Journal
Personal and Ubiquitous Computing
Volume
19
Issue
8
Start Page
1233
End Page
1245
Copyright (Published Version)
2015 the Authors
Subjects

Machine learning

Statistics

Smart home

Healthcare

User-centred design

Ethnography

User attributes

Personas

DOI
10.1007/s00779-015-0889-1
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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insight_publication.pdf

Size

1.27 MB

Format

Adobe PDF

Checksum (MD5)

cfbbe1208a0976265f3381aeaf5d950b

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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