Abstract
Working dogs perform a variety of essential services for their human partners, from assisting people with disabilities, to Search and Rescue, police, and military work. Recent interest in the nascent field of Animal-Computer Interaction has prompted research in computer-mediated technology for communication between working dogs and their handlers. Haptic (touch) interfaces in the form of vibrating motors are a promising approach for handler-to-dog communication. Haptic interfaces can provide a silent, long-range method of sending commands to a dog, when voice or hand signals are inappropriate or impossible. However, evaluating haptic interfaces for dogs, who cannot self-report sensations, creates interesting challenges. This study draws on human-computer interaction concepts, such as Just Noticeable Difference, to explore methods and issues in evaluating haptic interfaces for working dogs. We created a haptic system and developed an evaluation method, results for ten dogs of widely varying breeds, sizes, and coat types. Provides a new method to evaluate haptic interfaces, solving the inability of dogs to self-report.Addresses how to mitigate the Clever Hans effect through double blind and randomized studies.Stresses the importance of training reporting behavior to reliable haptic cues.
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