2013 · 16 citations · 6 references
ComputingCloud ComputingInformation TechnologyMobile ComputingMobile SystemsUser Experience DesignMobile Cloud ComputingMobile Health ApplicationsMobile Human-computer InteractionMobile SensingMobile User ExperiencePersonalizationActivitiesBehavioral SensingDesign PrinciplesLocation TrackingMobile Cloud ArchitecturePersonalization In Mobile Systems
Smart-phones are becoming our constant companions, they are with us all of the time, being used for calling, web surfing, apps, music listening, TV viewing, social networking, buying, gaming, and a myriad of other uses. Smart-phones are a technology that knows us much better than most of us could imagine. Based on our usage and the fact that we are never far away from our smart phones, they know where we go, who we interact with, what information we consume, and with a little clever software, they can know what we are doing and even why we are doing it. They are beginning to know us better than we know ourselves. In this work we present SenseSeer a generic mobile-cloud-based mobile Lifelogging framework. This framework supports customisable analytic services for sensing the person, understanding the semantics of life activities and the easy deployment of analytic tools and novel interfaces. At present, SenseSeer supports services in many domains, such as personal health monitoring, location tracking, lifestyle analysis and tourism focused applications. This work demonstrate the design principles of SenseSeer and three of its services: My Health, My Location and My Social Activity.
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A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method
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Social Sciences, Computer Systems, Information Technology +9