skip to main content
10.1145/3411763.3451681acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
poster

Meow Meow Call: Prototype Design for Building Interactive Connection between Human and Deaf Cat

Authors Info & Claims
Published:08 May 2021Publication History

ABSTRACT

Animal-Computer Interaction (ACI) is a discipline that encourages study on animal interactions, and there are few studies that discuss disabled animals. This study will focus on cats with hearing loss and explore ways to build the emotional connection between humans and cats through interactions. The prototype design consisted of three parts, all of which were used in a two-week initial feasibility test. In the test with volunteers, two deaf cats and their keepers have participated in the interactive progress, and the owners’ feedback showed some valuable results, which may refer to further studies around this topic.

References

  1. Andrej Kral, Stephen G. Lomber. 2015. Deaf White Cats. Curr. Biol. 25 (9), R351–R353. https://doi.org/10/ghrq5w.Google ScholarGoogle ScholarCross RefCross Ref
  2. Anna Zamansky, Amanda Roshier, Clara Mancini, Emily C. Collins, Carol Hall, Katie Grillaert, Ann Morrison, Steve North, and Hanna Wirman. 2017. A Report on the First International Workshop on Research Methods in Animal-Computer Interaction. In CHI’17 Extended Abstracts on Human Factors in Computing Systems, pp. 806–815. ACM. https://doi.org/10.1145/3027063.3052759.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chijiiwa, H., Takagi, S., Arahori, M., Hori, Y., Saito, A., Kuroshima, H., & Fujita, K. 2020. Dogs and cats prioritize human action: choosing a now-empty instead of a still-baited container. Animal Cognition, 1-9. https://doi.org/10.1007/s10071-020-01416-w.Google ScholarGoogle ScholarCross RefCross Ref
  4. Clara Mancini. 2011. Animal-computer interaction: a manifesto. Interactions 18.4: 69-73. https://doi.org/10.1145/1978822.1978836.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Clara Mancini. 2013. Animal-computer interaction (ACI): changing perspective on HCI, participation and sustainability. In CHI’13 Extended Abstracts on Human Factors in Computing Systems, pp. 2227-2236. ACM. http://doi.org/10.1145/2468356.2468744.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Clutton-Brock J. 1988. The British Museum book of cats: ancient and modern. British Museum Press, London.Google ScholarGoogle Scholar
  7. Frank Noz and Jinsoo An. 2011. Cat cat revolution: an interspecies gaming experience. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘11). Association for Computing Machinery, New York, NY, USA. pp. 2661–2664. Doi: 10.1145/1978942.1979331.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. George M. Strain. 2011. Deafness in Dogs and Cats. CABI: Cambridge, MA.Google ScholarGoogle Scholar
  9. Heli Väätäjä, Emilia K. Pesonen. 2013. Ethical issues and guidelines when conducting HCI studies with animals. In CHI’13 Extended Abstracts on Human Factors in Computing Systems, pp. 2159-2168. ACM. http://doi.org/10.1145/2468356.2468736.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Heli Väätäjä, Päivi Majaranta, Heini Törnqvist, Mari Ainasoja, Veikko Surakka, Oskar Juhlin, and Clara Mancini. 2017. Technology for Bonding in Human-Animal Interaction. In Proceedings of the Fourth International Conference on Animal-Computer Interaction. Association for Computing Machinery: New York, NY, USA, 2017. pp. 1–5. https://doi.org/10.1145/3152130.3152153.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Heli Väätäjä, Päivi Majaranta, Poika Isokoski, Yulia Gizatdinova, Miiamaaria V. Kujala, Sanni Somppi, Antti Vehkaoja, Outi Vainio, Oskar Juhlin, Mikko Ruohonen, and Veikko Surakka. 2018. Happy dogs and happy owners: using dog activity monitoring technology in everyday life. In Proceedings of the Fifth International Conference on Animal-Computer Interaction (ACI ‘18). Association for Computing Machinery, New York, NY, USA, Article 9, pp. 1–12. https://doi-org/10.1145/3295598.3295607.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Ito, Y., Watanabe, A., Takagi, S., Arahori, M., & Saito, A. 2016. Cats Beg For Food From The Human Who Looks At And Calls To Them: Ability To Understand Humans'attentional States. Psychologia, 59(2-3), pp. 112-120. Doi: 10.2117/Psysoc.2016.112.Google ScholarGoogle Scholar
  13. J. Kim, S. Choi, D. Kim, J. Kim and M. Cho. 2009. Animal-Robot Interaction for pet caring. 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA), Daejeon. pp. 159-164. Doi: 10.1109/CIRA.2009.5423214.Google ScholarGoogle Scholar
  14. John Bradshaw. 2012. The Behaviour of the Domestic Cat. CABI.Google ScholarGoogle Scholar
  15. John Bradshaw. 2013. Cat Sense: How the New Feline Science Can Make You a Better Friend to Your Pet. Basic Books: New York.Google ScholarGoogle Scholar
  16. Kyoko Yonezawa, Takashi Miyaki, and Jun Rekimoto. 2009. Cat@Log: Sensing Device Attachable to Pet Cats for Supporting Human-Pet Interaction. In Proceedings of the International Conference on Advances in Computer Enterntainment Technology; ACE ‘09. Association for Computing Machinery: New York, NY, USA. pp. 149–156. https://doi.org/10/cg5cx3.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Mei-Lin Peng, Cheng-Yu Tsai, Chung-Liang Chien, John Ching-Jen Hsiao, Shuan-Yu Huang, Ching-Ju Lee, Hsiang-Yin Lin, Yang-Cheng Wen & Kuang-Wen Tseng. 2012. The Influence of Low-powered Family LED Lighting on Eyes in Mice Experimental Model. Life Science Journal. 2012;9(1):477-482] (ISSN:1097-8135). http://www.lifesciencesite.com.Google ScholarGoogle Scholar
  18. Michelle Westerlaken and Stefano Gualeni. 2014. Grounded Zoomorphism: An Evaluation Methodology for ACI Design. Proc. 2014 Work. Adv. Comput. Entertain. Conf. - ACE ‘14 Work. pp. 1–6. https://doi.org/10.1145/2693787.2693796.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Patricia Pons, Javier Jaen, and Alejandro Catala. 2015. Envisioning Future Playful Interactive Environments for Animals. In More Playful User Interfaces: Interfaces that Invite Social and Physical Interaction; Nijholt, A., Ed.; Gaming Media and Social Effects; Springer: Singapore. pp. 121–150. https://doi.org/10.1007/978-981-287-546-4_6.Google ScholarGoogle ScholarCross RefCross Ref
  20. Patricia Pons, Javier Jaen. 2016. Towards the Creation of Interspecies Digital Games: An Observational Study on Cats’ Interest in Interactive Technologies. In CHI’16 Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery: New York, NY, USA. pp. 1737-1743. https://doi.org/10/ghrqqf.Google ScholarGoogle Scholar
  21. Rui Trindade, Micaela Sousa, Cristina Hart, Nádia Vieira, Roberto Rodrigues, and João França. 2015. Purrfect Crime. Proc. 33rd Annu. ACM Conf. Ext. Abstr. Hum. Factors Comput. Syst. - CHI EA ‘15, pp. 93–96. https://doi.org/10.1145/2702613.2728660.Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Shaun Lawson, Ben Kirman, Conor Linehan, Tom Feltwell, and Lisa Hopkins. 2015. Problematising Upstream Technology through Speculative Design: The Case of Quantified Cats and Dogs. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems; CHI ‘15; Association for Computing Machinery: New York, NY, USA, 2015. pp. 2663–2672. https://doi.org/10/ghrqqh.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Takasaki T, Nagato R, Morishita E, 2001. Wild animal tracking by PHS (Personal Handy phone System). Human Friendly Mechatronics. Elsevier Science. pp. 43-48. https://doi.org/10.1016/B978-044450649-8/50009-7.%3c/bib>Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Meow Meow Call: Prototype Design for Building Interactive Connection between Human and Deaf Cat
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
            May 2021
            2965 pages
            ISBN:9781450380959
            DOI:10.1145/3411763

            Copyright © 2021 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 8 May 2021

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • poster
            • Research
            • Refereed limited

            Acceptance Rates

            Overall Acceptance Rate6,164of23,696submissions,26%

            Upcoming Conference

            CHI '24
            CHI Conference on Human Factors in Computing Systems
            May 11 - 16, 2024
            Honolulu , HI , USA

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format .

          View HTML Format