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Theorizing Animal–Computer Interaction as Machinations
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: International journal of human-computer studies, ISSN 1071-5819, E-ISSN 1095-9300, Vol. 98, 135-149 p.Article in journal (Refereed) Published
Abstract [en]

The increased involvement of animals in digital technology and user-computer research opens up for new possibilities and forms of interaction. It also suggests that the emerging field of Animal–Computer Interaction (ACI) needs to reconsider what should be counted as interaction. The most common already established forms of interaction are direct and dyadic, and limited to domesticated animals such as working dogs and pets. Drawing on an ethnography of the use of mobile proximity sensor cameras in ordinary wild boar hunting we emphasize a more complex, diffuse, and not directly observable form of interaction, which involves wild animals in a technological and naturalistic setting. Investigating human and boar activities related to the use of these cameras in the light of Actor-Network Theory (ANT) and Goffman's notion of strategic interaction reveals a gamelike interaction that is prolonged, networked and heterogeneous, in which members of each species is opposed the other in a mutual assessment acted out through a set of strategies and counter-strategies. We stress the role of theory for the field of ACI and how conceptualizations of interaction can be used to excite the imagination and be generative for design. Seeing interaction as strategies and acknowledging the existence of complex interdependencies could potentially inspire the design of more indirect and non-dyadic interactions where a priori simplifications of design challenges as either human or animal can be avoided.

Place, publisher, year, edition, pages
2017. Vol. 98, 135-149 p.
Keyword [en]
Animal–computer interaction, Actor-network theory, Strategic interaction, Ontological symmetry, Ethnography
National Category
Information Systems
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-136638DOI: 10.1016/j.ijhcs.2016.05.005ISI: 000390628800012OAI: oai:DiVA.org:su-136638DiVA: diva2:1055520
Available from: 2016-12-12 Created: 2016-12-12 Last updated: 2017-02-07Bibliographically approved

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Aspling, FredrikJuhlin, Oskar
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CiteExportLink to record
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Citation style
  • apa
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