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

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

Re-centering multispecies practices: a canine interface for cancer detection dogs

We report on participatory design research where interaction designers, and canine behavioral specialists, together with their cancer detection dogs, teamed up to better support the dogs’ life-saving work. We discuss interspecies communication challenges in cancer detection training, requiring the dogs to use human signaling conventions that perturb their detection work. We describe our effort to develop a technology that could resolve those challenges, and how in the process our design focus gradually shifted from a human-centered to a canine-centered interaction model. The resulting interface, based on honest signaling, re-centers cancer detection practices on the dogs themselves, enabling them to better express their potential as cancer detection workers; it also provides a model for re-thinking human-computer interactions

Empowering assistance dogs: an alarm interface for canine use

This paper explores the intersection of assistance dog welfare and intelligent systems with a technological intervention in the form of an emergency canine alert system. We make the case that assistance dog welfare can be affected by the welfare of their human handlers, and examine the need for a canine alert system that enables the dog to take control over a potentially distressing situation thus improving assistance dog welfare. We focus on one specific subset of assistance dogs, the Diabetes Alert Dog, who are trained to warn their diabetic handlers of dangerously low or high blood sugar levels

Exploring the use of personas for designing with dogs

In HCI designers use personas as aids to explore a design space. Animal Computer Interaction (ACI) aims to design for multi-species users, thus here we explore the use of canine personas for investigating requirements for a canine emergency alert system enabling assistance dogs to call for help on behalf of their vulnerable owners in an emergency. Based on our work with canine users, we discuss potential benefits and pitfalls of using personas for non-human user

Exploring Assistive Technology for Assistance Dog Owners in Emergency Situations

Many vulnerable individuals own an assistance dog. Previous work has shown that a domestic alarm, Ringsel, allows assistance dogs to "call for help" via a canine interface that they interact with by pulling a detachment off with their mouths. Here we discuss the potential for systems like the Ringsel to leverage distinct behavioral patterns exhibited by the canine users to aid the automatic detection of emergencies by being used in coordination with existing assistive technologies for emergency detection and response

Sensing the Shape of Canine Responses to Cancer

We conducted a short study investigating the pressure patterns produced by cancer detection dogs via a canine-centered interface while searching samples of amyl acetate. We advance previous work by providing further insights into the potential of the approach for supporting and partly automating the practice of cancer detection with dogs

Using sniffing behavior to differentiate true negative from false negative responses in trained scent-detection dogs

False negatives are recorded in every chemical detection system, but when animals are used as a scent detector, some false negatives can arise as a result of a failure in the link between detection and the trained alert response, or a failure of the handler to identify the positive alert. A false negative response can be critical in certain scenarios, such as searching for a live person or detecting explosives. In this study, we investigated whether the nature of sniffing behavior in trained detection dogs during a controlled scent-detection task differs in response to true positives, true negatives, false positives, and false negatives. A total of 200 videos of 10 working detection dogs were pseudorandomly selected and analyzed frame by frame to quantify sniffing duration and the number of sniffing episodes recorded in a Go/No-Go single scent-detection task using an eight-choice test apparatus. We found that the sniffing duration of true negatives is significantly shorter than false negatives, true positives, and false positives. Furthermore, dogs only ever performed one sniffing episode towards true negatives, but two sniffing episodes commonly occurred in the other situations. These results demonstrate how the nature of sniffing can be used to more effectively assess odor detection by dogs used as biological detection devices

Canine Olfactory Thresholds to Amyl Acetate in a Biomedical Detection Scenario

Dogs’ abilities to respond to concentrations of odorant molecules are generally deemed superior to electronic sensors. This sensitivity has been used traditionally in many areas; but is a more recent innovation within the medical field. As a bio-detection sensor for human diseases such as cancer and infections, dogs often need to detect volatile organic compounds in bodily fluids such as urine and blood. Although the limits of olfactory sensitivity in dogs have been studied since the 1960s, there is a gap in our knowledge concerning these limits in relation to the concentration of odorants presented in a fluid phase. Therefore the aim of this study was to estimate olfactory detection thresholds to an inert substance, amyl acetate presented in a liquid phase. Ten dogs were trained in a “Go/No go” single scent-detection task using an eight-choice carousel apparatus. They were trained to respond to the presence of solutions of amyl acetate diluted to varying degrees in mineral oil by sitting in front of the positive sample, and not responding to the seven other control samples. Training and testing took place in an indoor room with the same handler throughout using a food reward. After 30 weeks of training, using a forward chaining technique, dogs were tested for their sensitivity. The handler did not assist the dog during the search and was blind to the concentration of amyl acetate tested and the position of the target in the carousel. The global olfactory threshold trend for each dog was estimated by fitting a least-squares logistic curve to the association between the proportion of true positives and amyl acetate concentration. Results show an olfactory detection threshold for fluid mixtures ranging from 40 parts per billion to 1.5 parts per trillion. There was considerable inter-dog difference in sensitivity, even though all dogs were trained in the same way and worked without the assistance of the handler. This variation highlights factors to be considered in future work assessing olfactory detection performance by dogs