The University of Southampton
University of Southampton Institutional Repository

The Quick Association Check (QuACk): a resource-light, ‘bias robust’ method for exploring the relationship between mental models and behaviour patterns with home heating systems

The Quick Association Check (QuACk): a resource-light, ‘bias robust’ method for exploring the relationship between mental models and behaviour patterns with home heating systems
The Quick Association Check (QuACk): a resource-light, ‘bias robust’ method for exploring the relationship between mental models and behaviour patterns with home heating systems
Easy-to-apply methods, allowing exploration of users’ mental models and behaviour with devices, are scarce. Existing methods can be resource-intensive, or fail to mitigate bias, threatening output validity. This paper describes the development of the Quick Association Check (QuACk) and highlights the methodological improvements following qualitative iterations. QuACk is a semi-structured interview with paper-based activities and templates, constructed with consideration of bias from the outset, offering a quick, resource light method to explore association between householders’ heating mental models and behaviour patterns. Through qualitative iterations of the method, key revisions identified the need to: (1) strongly emphasise positioning, guidance and structure; (2) re-categorise existing ‘shared models’ in the literature as ‘device generic’, rather than ‘thermostat specific’ during data interpretation and (3) consider an association at the system level, rather than the device level. The potential to apply the findings of QuACk to energy-reducing strategies is discussed, and generalisability considered.
1464-536X
554-587
Revell, Kirsten
58c66c29-ca9a-4e29-911c-e110f54f6b2b
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Revell, Kirsten
58c66c29-ca9a-4e29-911c-e110f54f6b2b
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd

Revell, Kirsten and Stanton, Neville (2016) The Quick Association Check (QuACk): a resource-light, ‘bias robust’ method for exploring the relationship between mental models and behaviour patterns with home heating systems. Theoretical Issues in Ergonomics Science, 17 (5-6), 554-587. (doi:10.1080/1463922X.2016.1180439).

Record type: Article

Abstract

Easy-to-apply methods, allowing exploration of users’ mental models and behaviour with devices, are scarce. Existing methods can be resource-intensive, or fail to mitigate bias, threatening output validity. This paper describes the development of the Quick Association Check (QuACk) and highlights the methodological improvements following qualitative iterations. QuACk is a semi-structured interview with paper-based activities and templates, constructed with consideration of bias from the outset, offering a quick, resource light method to explore association between householders’ heating mental models and behaviour patterns. Through qualitative iterations of the method, key revisions identified the need to: (1) strongly emphasise positioning, guidance and structure; (2) re-categorise existing ‘shared models’ in the literature as ‘device generic’, rather than ‘thermostat specific’ during data interpretation and (3) consider an association at the system level, rather than the device level. The potential to apply the findings of QuACk to energy-reducing strategies is discussed, and generalisability considered.

Text
__soton.ac.uk_ude_personalfiles_users_jr1d11_mydesktop_ePrints_Quack.docx - Author's Original
Download (4MB)

More information

Accepted/In Press date: 15 April 2016
e-pub ahead of print date: 1 June 2016
Organisations: Transportation Group

Identifiers

Local EPrints ID: 397802
URI: http://eprints.soton.ac.uk/id/eprint/397802
ISSN: 1464-536X
PURE UUID: af07eedb-1dfa-459e-a3e0-1c6a75e7f222
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 07 Jul 2016 09:24
Last modified: 15 Mar 2024 03:33

Export record

Altmetrics

Contributors

Author: Kirsten Revell
Author: Neville Stanton ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×