Abstract
Abstract Advancements in personal data collection and visualization – commonly referred to as the quantified self (QS) movement – allow individuals to self-track health and other attributes. We extend quantified self (QS) concepts to the quantified other (QO) to explore how the use of technology, collection of data on one's pet dog, and personal visualization affect pet owners' understandings of, and relationships with, their pets. We introduce the term Human–pet–computer interaction (HPCI) as the study of how technology can be designed and used to advance human–pet companionships. As an example, we describe CompanionViz, a personal information visualization prototype designed to inform pet owners on their dogs’ caloric inputs/outputs, as well as exercise and movement habits. We present a user study of CompanionViz featuring a twelve-participant survey and one field study, consisting of three unique use cases, and show that by providing pet owners with quantifiable awareness of their dogs’ health and exercise habits using personal visual representations, pet owner–dog bonds can benefit.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
