Work stress impacts people's daily lives. Their well-being can be improved if the stress is monitored and addressed in time. Attaching physiological sensors are used for such stress monitoring and analysis. Such a...
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Synaesthesia is a cross-sensory phenomenon where the stimulation of one sense involuntarily triggers another sensory percept. Previous research in HCI often engaged with synaesthesia in conceptual or metaphorical term...
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This work presents the first-ever detailed and large-scale measurementanalysis of storage consumption behavior of applications (apps) on smart mobile devices. We start by carrying out a five-year longitudinal static ...
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This work presents the first-ever detailed and large-scale measurementanalysis of storage consumption behavior of applications (apps) on smart mobile devices. We start by carrying out a five-year longitudinal static analysis of millions of Android apps to study the increase in their sizes over time and identify various sources of app storage consumption. Our study reveals that mobile apps have evolved as large monolithic packages that are packed with features to monetize/engage users and optimized for performance at the cost of redundant storage consumption. We also carry out a mobile storage usage study with 140 Android participants. We built and deployed a lightweight context-aware storage tracing tool, called COSMOS1, on each participant's device. Leveraging the traces from our user study, we show that only a small fraction of apps/features are actively used and usage is correlated to user context. Our findings suggest a high degree of app feature bloat and unused functionality, which leads to inefficient use of storage. Furthermore, we found that apps are not constrained by storage quota limits, and developers freely abuse persistent storage by frequently caching data, creating debug logs, user analytics, and downloading advertisements as needed. Finally, drawing upon our findings, we discuss the need for efficient mobile storage management, and propose an elastic storage design to reclaim storage space when unused. We further identify research challenges and quantify expected storage savings from such a design. We believe our findings will be valuable to the storage research community as well as mobile app developers.
Partial analysis is a program analysis technique used in compilation systems when the whole program is not available. Many recent promising approaches perform partial analysis statically that involves identifying the ...
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The rapidly evolving healthcare domain and the rise of telemedicine and remote diagnostic techniques underscore the critical demand for secure, authentic, and reliable medical imaging solutions. This study introduces ...
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Technology for outdoor recreation, like the hiking app AllTrails, can improve access and safety for hikers. However, these tools can also negatively impact hikers on the trail, for example, by distracting them from ex...
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This paper details an investigation into the information management challenges encountered by disability service providers. Prior research has mainly focused on understanding the information management challenges rela...
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Sonic interaction designs can be enhanced by considering the music cognitive processes of tension and release. However, existing design models for applying these principles lack accessibility for practitioners, and pr...
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Docker has transformed modern software development, enabling the widespread reuse of containerized applications. Currently, Docker images are primarily distributed through centralized registries, among which Docker Hu...
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