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Assessing user acceptance towards automated and conventional sink use for hand decontamination using the technology acceptance model.pdf (2.59 MB)

Assessing user acceptance towards automated and conventional sink use for hand decontamination using the technology acceptance model

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journal contribution
posted on 2020-12-02, 12:24 authored by Carolyn H. Dawson, Jamie B. Mackrill, Rebecca CainRebecca Cain
Hand hygiene (HH) prevents harmful contaminants spreading in settings including domestic, healthcare and food handling. Strategies to improve HH range from behavioural techniques through to automated sinks that ensure hand surface cleaning. This study aimed to assess user experience and acceptance towards a new automated sink, compared to a normal sink. An adapted version of the Technology Acceptance Model (TAM) assessed each mode of handwashing. A within-subjects design enabled N=46 participants to evaluate both sinks. Perceived Ease of Use and Satisfaction of Use were significantly lower for the automated sink, compared to the conventional sink (p<. 005). Across the remaining TAM factors there was no significant difference. Participants suggested design features including jet strength, water temperature, and device affordance may improve HH technology. We provide recommendations for future HH technology development to contribute a positive user experience, relevant to technology developers, ergonomists and those involved in HH across all sectors.

Funding

Participation in healthcare environment engineering

Engineering and Physical Sciences Research Council

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History

School

  • Design and Creative Arts

Department

  • Design

Published in

Ergonomics

Volume

60

Issue

12

Pages

1621 - 1633

Publisher

Taylor & Francis

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Taylor & Francis under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2017-03-30

Publication date

2017-04-24

Copyright date

2017

ISSN

0014-0139

eISSN

1366-5847

Language

  • en

Depositor

Prof Rebecca Cain. Deposit date: 2 December 2020

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