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Understanding animals: A critical challenge in ACI
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2018 (English)In: NordiCHI '18 Proceedings of the 10th Nordic Conference on Human-Computer Interaction, Association for Computing Machinery (ACM), 2018, p. 148-160Conference paper, Published paper (Refereed)
Abstract [en]

We present a qualitative content analysis of visual-verbal social media posts, where ordinary dog owners pretend to be their canine, to identify meaningful facets in their dogs' life-worlds, e.g. pleasures of human-dog relation, dog-dog relations, food etc. We use this knowledge to inform design of "quantified pets". The study targets a general problem in Animal-Computer Interaction (ACI), i.e. to understand animals when designing "for" them, although lacking a common language. Several approaches, e.g. ethnography and participatory design, have been appropriated from HCI without exhausting the issue. We argue for a methodological creativity and pluralism by suggesting an additional approach drawing on "kinesthetic empathy". It implies to understand animals by empathizing with their bodily movements over time and decoding the realities of their life-worlds. This, and other related approaches, has inspired animal researchers to conduct more or less radical participant observations during extensive duration to understand the perspective of the other. We suggest that dog owners whom share their lives with their dogs already possess a similar understanding as these experts, and thus uphold important experiences of canine life that could be used to understand individual dogs and inspire design.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 148-160
Keywords [en]
Animal-Computer Interaction, Quantified Pets, Dog Blogs, Social Media, Kinesthetic Empathy, Pet Dogs
National Category
Human Computer Interaction
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-163222DOI: 10.1145/3240167.3240226ISBN: 978-1-4503-6437-9 (electronic)OAI: oai:DiVA.org:su-163222DiVA, id: diva2:1271973
Conference
10th Nordic Conference on Human-Computer Interaction, Oslo, Norway, September 29 - October 03, 2018
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-21Bibliographically approved

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