18,167 research outputs found

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

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    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

    Trade-offs Between Targeting and Simplicity: Lessons from the U.S. and British Experiences with Refundable Tax Credits

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    In the United Kingdom and many other European countries, every child receives a cash benefit. Eligibility for the benefit, as well as the benefit amount, is determined without regard to the parents' income or asset holdings or marital status. As automated data systems become more sophisticated and unique identifiers (e.g., the social security number in the United States) become more prevalent, universal benefits could be as easy to distribute as voter registration or library cards.Working Paper Number 04-42

    Fog-Driven Context-Aware Architecture for Node Discovery and Energy Saving Strategy for Internet of Things Environments

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    The consolidation of the Fog Computing paradigm and the ever-increasing diffusion of Internet of Things (IoT) and smart objects are paving the way toward new integrated solutions to efficiently provide services via short-mid range wireless connectivity. Being the most of the nodes mobile, the node discovery process assumes a crucial role for service seekers and providers, especially in IoT-fog environments where most of the devices run on battery. This paper proposes an original model and a fog-driven architecture for efficient node discovery in IoT environments. Our novel architecture exploits the location awareness provided by the fog paradigm to significantly reduce the power drain of the default baseline IoT discovery process. To this purpose, we propose a deterministic and competitive adaptive strategy to dynamically adjust our energy-saving techniques by deciding when to switch BLE interfaces ON/OFF based on the expected frequency of node approaching. Finally, the paper presents a thorough performance assessment that confirms the applicability of the proposed solution in several different applications scenarios. This evaluation aims also to highlight the impact of the nodes' dynamic arrival on discovery process performance

    InfoTech Update, Volume 11, Number 3, May/June 2003

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    https://egrove.olemiss.edu/aicpa_news/4998/thumbnail.jp
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