2014 Ieee 16th International Conference on E Health Networking Applications and Services, Oct 1, 2014
Recent technological trends in mobile/wearable devices and sensors have been enabling an increasi... more Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their "lifelog" easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on life-logging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of "competition" and "collaboration." According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with "competition" technique resulted in the most effective performance for competitive teams, such as sports teams.
2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom), 2014
Recent technological trends in mobile/wearable devices and sensors have been enabling an increasi... more Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their "lifelog" easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on life-logging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of "competition" and "collaboration." According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with "competition" technique resulted in the most effective performance for competitive teams, such as sports teams.
2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2014
ABSTRACT This paper proposes a novel “Application as a Sensor” (AaaS) approach for user attention... more ABSTRACT 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.
In today's advancing ubiquitous computing age, with its ever-increasing amount of information fro... more In today's advancing ubiquitous computing age, with its ever-increasing amount of information from various applications and services available for consumption, the management of people's attention has become very important. In particular, the high volume of notifications on mobile devices has become a major cause of interruption of users. There has been much research aimed at detecting the opportune moment to present such information to users with in a way that lowers the cognitive load or frustration. However, evaluation of such systems in the real-world production environment with real users and notifications, and evaluation on user's engagement to the presented notification beyond simple responsiveness have not been adequately studied. To the best of our knowledge, this study is the first to investigate user interruptibility and engagement using a real-world large-scale mobile application and real-world notifications consisting of actual news content. We equipped the Yahoo! JAPAN Android app, one of the most popular applications on the national market, with our mobile-sensing and machine-learning-based interruptibility estimation logic. We conducted a large-scale in-the-wild user study with more than 680,000 users for three weeks. The results show that in most cases delaying the notification delivery until an interruptible moment is detected is beneficial to users and results in significant reduction of user response time (49.7%) compared to delivering the notifications immediately. We also observed a higher number of notifications opened in our system as well as constant improvement in user engagement levels throughout the entire study period.
2014 Ieee 16th International Conference on E Health Networking Applications and Services, Oct 1, 2014
Recent technological trends in mobile/wearable devices and sensors have been enabling an increasi... more Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their "lifelog" easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on life-logging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of "competition" and "collaboration." According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with "competition" technique resulted in the most effective performance for competitive teams, such as sports teams.
2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom), 2014
Recent technological trends in mobile/wearable devices and sensors have been enabling an increasi... more Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their "lifelog" easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on life-logging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of "competition" and "collaboration." According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with "competition" technique resulted in the most effective performance for competitive teams, such as sports teams.
2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2014
ABSTRACT This paper proposes a novel “Application as a Sensor” (AaaS) approach for user attention... more ABSTRACT 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.
In today's advancing ubiquitous computing age, with its ever-increasing amount of information fro... more In today's advancing ubiquitous computing age, with its ever-increasing amount of information from various applications and services available for consumption, the management of people's attention has become very important. In particular, the high volume of notifications on mobile devices has become a major cause of interruption of users. There has been much research aimed at detecting the opportune moment to present such information to users with in a way that lowers the cognitive load or frustration. However, evaluation of such systems in the real-world production environment with real users and notifications, and evaluation on user's engagement to the presented notification beyond simple responsiveness have not been adequately studied. To the best of our knowledge, this study is the first to investigate user interruptibility and engagement using a real-world large-scale mobile application and real-world notifications consisting of actual news content. We equipped the Yahoo! JAPAN Android app, one of the most popular applications on the national market, with our mobile-sensing and machine-learning-based interruptibility estimation logic. We conducted a large-scale in-the-wild user study with more than 680,000 users for three weeks. The results show that in most cases delaying the notification delivery until an interruptible moment is detected is beneficial to users and results in significant reduction of user response time (49.7%) compared to delivering the notifications immediately. We also observed a higher number of notifications opened in our system as well as constant improvement in user engagement levels throughout the entire study period.
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Papers by Tadashi Okoshi