Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Happy dogs and happy owners: using dog activity monitoring technology in everyday life
Show others and affiliations
2018 (English)In: ACI '18: Proceedings of the Fifth International Conference on Animal-Computer Interaction, Association for Computing Machinery (ACM), 2018, p. 1-12, article id 9Conference paper, Published paper (Refereed)
Abstract [en]

Today, the markets are populated with dozens of devices for dog activity tracking and monitoring. Our aim was to get detailed insights on how dog owners use these devices in their everyday life. Two studies, an interview study with Finnish dog owners (N=7) and an international online questionnaire (N=35) were done to capture the motivations for using dog activity trackers, their utility, user experience, gained insights, and impacts of use. The results showed that the use of the devices was motivated by monitoring health, behavior, learning related issues, and by balancing the amount of activity and rest to an appropriate level. The tracker inspired the owners to spend more time with the dog and to be more observant to his/her behavior. In return, this had the potential to improve their relationship. The owners wanted to keep their dog happy, and in turn, perceiving the dog as happy made the owners happy. Based on the results, we also briefly discuss development needs for dog activity monitoring solutions.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 1-12, article id 9
Keywords [en]
Dog, welfare, activity, tracker, wearable, monitoring, rest, training, learning, motivation, user experience, happiness
National Category
Human Computer Interaction
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-178744DOI: 10.1145/3295598.3295607ISBN: 978-1-4503-6219-1 (electronic)OAI: oai:DiVA.org:su-178744DiVA, id: diva2:1391122
Conference
ACI18: Fifth International Conference on Animal-Computer Interaction, Atlanta, Georgia, USA, December 4–6, 2018
Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text
By organisation
Department of Computer and Systems Sciences
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf