95 research outputs found

    Technology for Bonding in Human-Animal Interaction

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    This workshop focuses on the use and influence of technology on human-animal bonding, and how to facilitate them with technology. We explore the elements and characteristics of human-animal bonding, and how technology is connected to emotions and bonding between the human and the animal. We are particularly interested in animal's experiences, emotions, and welfare in bonding. The workshop facilitates discussion, creates a framework to support design activities, identifies future research themes, and creates ideas on facilitating the mutual bonding in human-animal interaction. The main focus is on dogs, but workshop aims is to pave way for further investigations and research with other domestic animals, such as cats, horses, and rabbits

    Towards a Methodology for Data-Driven Automatic Analysis of Animal Behavioral Patterns

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    Measurement of behavior a major challenge in many animal-related disciplines, including ACI. This usually requires choosing specific parameters for measuring, related to the investigated hypothesis. Therefore, a key challenge is determining a priori what parameters are informational for a given experiment. The scope of this challenge is raised even further by the emerging computational approaches for animal detection and tracking, as automatizing behavioral measurement makes the possibilities for measuring behavioral parameters practically endless. This paper approaches these challenges by proposing a framework for guiding the decision making of researchers in their future data analysis. The framework is data-driven in the sense that it applies data mining techniques for obtaining insights from experimental data for guiding the choice of certain behavioral parameters. Here, we demonstrate the approach using a concrete example of clustering-based analysis of trajectories which can identify 'prevalent areas of stay' of the animal subjects in the experimental setting

    Don't cut to the chase: hunting experiences for zoo animals and visitors

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    This workshop explores different ways to use technology to facilitate hunting behaviour enrichment for zoo-housed animals and parallel gaming experiences for zoo visitors

    Exploring methods for interaction design with animals: a case-study with Valli

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    This case study describes our progress towards the goal of providing technology-enhanced enrichment for an Asian elephant so that she can exercise choice and control. We offer guidelines for developers to show how interaction design with a captive elephant might be approached

    Salient features, combined detectors and image flipping: an approach to Haar cascades for recognising horses and other complex, deformable objects

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    This is the author accepted manuscript. The final version is available from ACM via the DOI in this record.The author describes a new ‘shortcut’ approach to automatically detecting horses in still images and video: salient features, combining and flipping. Horses are complex, deformable (non-rigid) target objects with high levels of intra-class shape variability. A prototype Haar cascade detector was trained to detect what the author calls a ‘salient feature’. This a distinctive, minimally changing physical attribute that is easily recognisable from multiple viewpoints. The detector’s target object is: ‘horse ears’ and it only required a total training time of 91 minutes. It was evaluated in combination with an existing, ‘asymmetric’ detector (trained only to recognise right-facing horses). By combining the existing horse detector with the author’s salient feature ears detector, the hit rate for true positives was increased by 50% (relative to the existing detector’s performance). Flipping each test image (or video frame) around its vertical axis increased the hit rate by 83% (relative to the unflipped results) for the existing, asymmetric detector, when tested on an image dataset of horses facing in both directions.The work described in this paper builds on an exploratory project funded by the EPSRC under Platform Grant 'Living with Digital Ubiquity ' reference: EP/M000877/1

    Towards Multispecies Interaction Environments: Extending Accessibility to Canine Users

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    In this paper we discuss the role of mobility assistance dogs in human society and the challenges they face when operating in human environments. We present the findings of an ethnographic study at a training facility as well as the findings of early evaluations of canine-friendly switches. We discuss how the species-specific implementation of core interaction design principles could inform the design of interaction environments that better support these skilled workers
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