The Open UniversitySkip to content
 

Canine-centered interface design: supporting the work of diabetes alert dogs

Robinson, Charlotte; Mancini, Clara; van der Linden, Janet; Guest, Claire and Harris, Rob (2014). Canine-centered interface design: supporting the work of diabetes alert dogs. In: ACM CHI Conference on Human Factors in Computing Systems, 26 Apr - 01 May 2014, Toronto, Canada, ACM.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (873kB) | Preview
Google Scholar: Look up in Google Scholar

Abstract

Many people with Diabetes live with the continuous threat of hypoglycaemic attacks and the danger of going into coma. Diabetic Alert Dogs are trained to detect the onset of an attack before the human handler they are paired with deteriorates, giving them time to take action. We investigated requirements for designing an alert system allowing dogs to remotely call for help when their human falls unconscious before being able to react to an alert. Through a multispecies ethnographic approach we focus on teasing out the requirements for a physical canine user interface, involving both dogs, their handlers and trainers in the design. We discuss tensions between the requirements for the canine and the human users, argue the need for increased sensitivity towards the needs of individual dogs that goes beyond breed specific physical characteristics and reflect on how we can move from designing for dogs to designing with dogs.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 ACM
ISBN: 1-4503-2473-8, 978-1-4503-2473-1
Keywords: Diabetes Alert Dog; human-animal interaction; animal-computer interaction; user-centered design; multispecies ethnography
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 39352
Depositing User: Charlotte Robinson
Date Deposited: 30 Jan 2014 13:53
Last Modified: 02 May 2018 13:57
URI: http://oro.open.ac.uk/id/eprint/39352
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU