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      Animal Personas: Representing Dog Stakeholders in Interaction Design


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      Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017) (HCI)

      digital make-believe, with delegates considering our expansive

      3 - 6 July 2017

      Animal Computer Interaction, Dog Computer Interaction, Personas, User-centered design

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          This paper describes the development and evaluation of animal personas for use in the design and development of interactive product. Building from 196 dog owner reports describing dog behaviours and explaining how they interact with digital media devices, six dog personas are created as examples of both how these can be presented but also of how they can be derived. The created personas are then evaluated by experts in terms of their value to the Animal Computer Interaction Community. These experts reported that the personas were useful commenting on their use across ACI. The contributions of this paper are the datastore used to generate the personas, the method used and the persona set.

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          When species meet

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            Discrimination of human and dog faces and inversion responses in domestic dogs (Canis familiaris).

            Although domestic dogs can respond to many facial cues displayed by other dogs and humans, it remains unclear whether they can differentiate individual dogs or humans based on facial cues alone and, if so, whether they would demonstrate the face inversion effect, a behavioural hallmark commonly used in primates to differentiate face processing from object processing. In this study, we first established the applicability of the visual paired comparison (VPC or preferential looking) procedure for dogs using a simple object discrimination task with 2D pictures. The animals demonstrated a clear looking preference for novel objects when simultaneously presented with prior-exposed familiar objects. We then adopted this VPC procedure to assess their face discrimination and inversion responses. Dogs showed a deviation from random behaviour, indicating discrimination capability when inspecting upright dog faces, human faces and object images; but the pattern of viewing preference was dependent upon image category. They directed longer viewing time at novel (vs. familiar) human faces and objects, but not at dog faces, instead, a longer viewing time at familiar (vs. novel) dog faces was observed. No significant looking preference was detected for inverted images regardless of image category. Our results indicate that domestic dogs can use facial cues alone to differentiate individual dogs and humans and that they exhibit a non-specific inversion response. In addition, the discrimination response by dogs of human and dog faces appears to differ with the type of face involved.
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              Research through design as a method for interaction design research in HCI


                Author and article information

                July 2017
                July 2017
                : 1-12
                University of Central Lancashire

                Preston, PR1 2HE
                © Hirskyj-Douglas et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2017 – Digital Make-Believe. Sunderland, UK.

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)
                Sunderland, UK
                3 - 6 July 2017
                Electronic Workshops in Computing (eWiC)
                digital make-believe, with delegates considering our expansive
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Electronic Workshops in Computing


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