論文

© 2003 by The USENIX Association. Remote execution can transform the puniest mobile device into a computing giant able to run resource-intensive applications such as natural language translation, speech recognition, face recognition, and augmented reality. However, easily partitioning these applications for remote execution while retaining application-specific information has proven to be a difficult challenge. In this paper, we show that automated dynamic repartitioning of mobile applications can be reconciled with the need to exploit application-specific knowledge. We show that the useful knowledge about an application relevant to remote execution can be captured in a compact declarative form called tactics. Tactics capture the full range of meaningful partitions of an application and are very small relative to code size. We present the design of a tactics-based remote execution system, Chroma, that performs comparably to a runtime system that makes perfect partitioning decisions. Furthermore, we show that Chroma can automatically use extra resources in an overprovisioned environment to improve application performance.

Have you ever talked to fish? If you can incorporate the feelings of your fish into breeding systems, life with your fish can become more comfortable, fun, and a greater experience overall. In breeding pets, owners often cannot properly understand their pet's internal state, which can lead to impaired health-or worse, loss of life-for the pet. In case of fish, such situations are more likely to occur than with dogs or cats, since owner-pet communication is more difficult with fish. Although fish are the most bred pets [1], information and communications technology (ICT)-based solutions for accelerating owner-pet interaction have not yet been sufficiently explored. We present "TalkingNemo," an aquarium fish breeding system that enables interaction between owners and their fish. TalkingNemo detects the condition of fish and their aquarium via a camera and sensors attached to the aquarium, and notifies users with speech balloons as from the perspective of the fish (Figure 1). TalkingNemo empowers us to breed fish in good condition over a longer period. This paper introduces the architecture and evaluates the results of TalkingNemo.

© 2015 Elsevier B.V. All rights reserved. As the amount of information to users increases with the trends of an increasing numbers of devices, applications, and web services, the new bottleneck in computing is human attention. To minimize users attentional overload, we propose a novel middleware "Attelia" that detects breakpoints of user's mobile interactions to deliver notifications adaptively. Attelia detects such timings in real-time, using only users phones, without any external sensors, and without any modifications to applications. Our extensive evaluation proved Attelias effectiveness. In-the-wild user study with 30 participants for 16 days showed that, specifically for the users with greater sensitivity for interruptive notification timings, notification scheduling in Attelia's breakpoint timing reduced users frustration by 28% in users' real smart phone environments.

© 2014 IEEE. Recent technological trends on mobile/wearable devices and sensors have been enabling increasing number of people to collect and store their 'life-logs' easily in their daily lives. Beyond exercise behavior change of individual user, our research focus is on the behavior change of teams, based on life-logging technologies and information sharing. In this paper, we propose and evaluate six different types of information sharing model among team members for their exercise promotion, leveraging concepts of 'competition' and 'collaboration'. According to our experimental mobile web application for exercise promotion and extensive user study among 64 total users for three weeks, the model with 'external competition' technique resulted the most effective performance for competitive teams such as sport teams.

© 2017 Association for Computing Machinery. In a world moving towards ubiquitous computing, users are increasingly confronted with a tremendous amount of information proactively provided via notifications. Today, notifications are generated by a large number of applications and services, through multiple devices and screens in the users' environment. Thus, human's attention became a significant bottleneck. Further, the latest computing trends with emerging new devices including versatile IoT devices, and contexts, such as smart cities and vehicles, further amplify the challenges. For future computing systems, "attention management", including attention representation, sensing, prediction, analysis and adaptive behavior becomes crucial. Following last year's successful UbiTtention'16 workshop with more than 40 participants, the UbiTtention 2017 workshop brings together researchers and practitioners from academy and industry to explore the managements of human attention and notifications. The workshop considers versatile devices and smart situations to overcome information overload and overchoice.

© Copyright held by the owner/author(s). We propose a Meal Photo SNS (called HealthyStadium) for improving users' eating habits by mutually assessing each others' health. This application's method is to evaluates pictures of meals leads to the realization of sustainable journaling. In addition, we implement competitive awareness that motivates the users to improve their eating habits by allowing users to share their healthiness ranking amongst the users. Through our study, we confirmed that our system enables users to motivate for improving eating habits. Also we found the number of records is increased by our system.

© Copyright held by the owner/author(s). By enabling driver mode on a smartphone, the smartphone can autonomously detect driving activities and suppress any incoming notifications so that drivers can focus on their attention on driving activities. However, the current driving mode implementations are limited in the fact that they frequently misjudge driving activities and also only have the option of nullifying all incoming notifications. In this work we present an improvement to this design and propose two major improvements to the current driving mode implementations: the first to improve driving activity detection and the second to diversify the notification mechanisms when the user is detected to be driving. While the work is still at its preliminary stages, we foresee this work as a meaningful effort to initiate the design of smartphone notification systems more tailored to the users' needs.

This paper proposes a novel 'Application as a Sensor' (AaaS) approach for user attention status sensing in mobile and ubiquitous computing where user attends to ubicomp-related goal-directed tasks that usually involve in 'applications'. By using information in the application layer including application-specific knowledge on user's attention status while user manipulates applications on multiple mobile devices, the underlying system can sense user's current attention target and 'breakpoint' [1] that can be used for further attention-aware adaptation for maintaining user's productivity, in mobile devices, in real-time, without dedicated external psycho-physiological sensors. © 2014 IEEE.