The Open UniversitySkip to content

A Method for Evaluating Animal Usability (MEAU)

Ruge, Luisa and Mancini, Clara (2019). A Method for Evaluating Animal Usability (MEAU). In: Proceedings of the Sixth International Conference on Animal-Computer Interaction (ACI'19), Association for Computer Machinery, New York, NY, USA, article no. 14.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


Animal Computer Interaction, aims to design user centered interactions that result in good user experiences (UX). During evaluation, the quality of the UX is assessed by measuring the degree to which the interaction between the user and the artefact meets the users’ needs and preferences, as evidenced by their behavior. A key measure of the UX is usability. When evaluating usability for different species, ACI researchers face two major challenges: the differences in cognitive, physical and sensory capabilities between human evaluators and animal users, with the implications these differences have for assessing the users’ behavior; and the human-centric focus of most usability evaluation methods currently available. To address these challenges, this paper proposes a Method for Evaluating Animal Usability (MEAU), here tailored to Mobility Assistance Dogs as the users, and illustrates its application during a study that compared the canine usability of different access controls.

Item Type: Conference or Workshop Item
ISBN: 1-4503-7693-2, 978-1-4503-7693-8
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 68269
Depositing User: Clara Mancini
Date Deposited: 27 Nov 2019 10:33
Last Modified: 28 Mar 2020 07:45
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU