Published in Frontiers in Veterinary Science, this 2022 study by C. Byrne, Thad Starner, and M. Jackson explored how smart technology can enhance selection accuracy in service dog training programs. With nearly half a million active service dogs in the U.S., demand for skilled dogs is high, and the ability to identify suitable candidates early could save significant time, cost, and training resources.
The researchers investigated whether sensor-equipped dog toys could measure behavioral traits predictive of future service dog success. Over a two-year period, dogs in advanced training at Canine Companions for Independence were tested using instrumented toys that collected data on handling style, engagement patterns, and bite metrics.
A key finding was that average bite duration was significantly correlated with successful placement as a service dog. Specifically, dogs with shorter, more controlled bite durations were more likely to successfully complete training and be matched with a human partner (Adjusted OR = 0.12, p = 0.00666). This suggests that controlled and intentional behavior—reflected in how a dog interacts with an object—may indicate stronger emotional regulation, temperament stability, and cognitive readiness for service roles.
The authors propose that integrating smart toy data with existing behavioral assessments could improve early-stage evaluations, helping trainers identify high-potential candidates more efficiently while reducing investment in dogs likely to be unsuitable for service work.
This approach represents an innovative intersection of technology, behavior science, and working dog selection, offering practical benefits for enhancing service dog training, placement success, and overall resource management.
Source: Byrne, C., Starner, T., & Jackson, M. (2022). Quantifying canine interactions with smart toys assesses suitability for service dog work. Frontiers in Veterinary Science. Published September 2, 2022.
