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User Centered Design Approaches to Measuring Canine Behavior: Tail Wagging as a Measure of User Experience

Cox, Elizabeth; Ruge, Luisa; Mancini, Clara and Luck, Rachael (2018). User Centered Design Approaches to Measuring Canine Behavior: Tail Wagging as a Measure of User Experience. In: ACI2018 Proceedings of the Fifth International Conference on Animal-Computer Interaction, ACM International Conference Proceeding Series, ACM Digital Library, article no. 1.

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Animal Computer Interaction (ACI) aims to design user-centered interactions between animals and technology. In this regard, a major challenge for researchers is accurately assessing and interpreting animal behavior, in part, due to the invasive nature of data collection techniques and to the individuality of behavior. This paper presents a method that uses tail wagging, a communicative behavior in dogs used in animal behavior and welfare studies, as a non-invasive parameter used to measure canine user experience (UX). We present findings from a study based on an observational analysis of three mobility assistance dogs’ tail wagging behaviors and canine personality scores. The findings show tail wagging is a communicative indicator, that the manner in which the tail is wagged correlates to personality, and that tail wagging provides a baseline to assess canine UX. A tail wagging ethogram was used as an evaluative tool for measuring canine UX during task training.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
Dog-Smart Homes: Domestic Interfaces for Mobility Assistance DogsNot SetPet Plan Charitable Trust
Keywords: animal computer interaction; tail wagging; user centered design, user experience, canine users, dogs.
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Research Group: Centre for Research in Computing (CRC)
Item ID: 57936
Depositing User: Clara Mancini
Date Deposited: 10 Dec 2018 11:02
Last Modified: 17 Jul 2019 14:31
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