Papers - OKOSHI Tadashi

Towards attention-aware adaptive notification on smart phones

T Okoshi, H Nozaki, J Nakazawa, H Tokuda, J Ramos, AK Dey

Pervasive and Mobile Computing 26, 17-34 (Pervasive and Mobile Computing)  26   17 - 34 2016

Joint Work, Accepted,  ISSN  15741192

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© 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.

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TalkingNemo: aquarium fish talks its mind for breeding support

N Isokawa, Y Nishiyama, T Okoshi, J Nakazawa, K Takashio, H Tokuda

Proceedings of the Third International Conference on Animal-Computer … (ACM Press)  15-17-November-2016   1 2016

Joint Work, Accepted,  ISSN  9781450347587

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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.

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SmileWave: sensing and analysis of smile-based emotional contagion over social network

W Sasaki, Y Furukawa, Y Nishiyama, T Okoshi, J Nakazawa, H Tokuda

Proceedings of the 15th International Conference on Information Processing …  2016

Smarttention, please!: 2nd workshop on intelligent attention management on mobile devices

D Weber, AS Shirazi, S Gehring, N Henze, B Poppinga, M Pielot, T Okoshi

Proceedings of the 18th International Conference on Human-Computer … (ACM Press)     914 2016

Joint Work, Accepted

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Proceedings of on MobiSys 2016 PhD Forum

LiKamWa Robert, Okoshi Tadashi, Kang Seungwoo

Publication of MobiSys'16 The 14th Annual International Conference on Mobile Systems, Applications, and Services (ACM)   2016

Joint Work

Poster: NiSleep: Gamification-friendly quantitative evaluation methodology of sleep quality

K Egashira, Y Furukawa, Y Nishiyama, T Okoshi, J Nakazawa, H Tokuda

Proceedings of the 14th Annual International Conference on Mobile Systems … (ACM Press)     132 2016

Joint Work, Accepted,  ISSN  9781450344166

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Investigating interruptibility at activity breakpoints using smartphone activity recognition API

M Obuchi, W Sasaki, T Okoshi, J Nakazawa, H Tokuda

Proceedings of the 2016 ACM International Joint Conference on Pervasive and … (ACM Press)     1602 - 1607 2016

Joint Work, Accepted,  ISSN  9781450344623

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© 2016 ACM. We propose a system for improving the answer rate to ES inquiry to reduce the user's mental burden by detectin breakpoints in user's physical activity and pushing notification in such timings. We conducted an in-The-wild use study with 30 participants for 4-days. The results reveale the effectiveness of breakpoint-based notification delivery In the best case, 70.0% improvement in user's respons time to notifications was observed at a transition to th user's activity from "walking" to "stationary".

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Interruptibility research: opportunities for future flourishment

T Okoshi, J Nakazawa, H Tokuda

Proceedings of the 2016 ACM International Joint Conference on Pervasive and … (ACM Press)     1524 - 1529 2016

Joint Work, Accepted,  ISSN  9781450344623

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© 2016 ACM. As users enjoy their computing with an increasing number of devices, applications and services, and connected other users, users' attention is getting the most precious resource in computing due to increasing information fragments provided proactively. Research on user's attention management and especially interruptibility have been accelerated in the recent years. After clarifying some recent background computing trends, this paper focuses on those researches areas, specifies several possible opportunities in the area, and proposes 3 key future opportunities that include being a layer and platform, communication with industries, and intersection with research areas. This paper aims to motivate active discussion on how we can make our research flourish in rather longer term.

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3 rd international workshop on ubiquitous mobile instrumentation

D Ferreira, T Okoshi, Y Nishiyama, C Koehler, JW Park, A Lucero

Proceedings of the 2016 ACM International Joint Conference on Pervasive and … (UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing)     608 - 611 2016

ISSN  9781450344623

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© 2016 ACM. Mobile phones allow us to reach people anywhere, anytime. In addition to the benefits for end users, researchers and developers can also benefit from the powerful devices that people carry on a daily basis. Collectively, mobile phones form a ubiquitous computer. The Ubiquitous Mobile Instrumentation (UbiMI) workshop focuses on using mobile devices as instruments to collect data and conduct mobile user studies, to understand human-behavior and routines, and to gather users' context.

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ACM Mobisys' 16 PhD forum welcome message

R LiKamWa, T Okoshi, S Kang

Unknown Journal, vi (PhD Forum 2016 - Proceedings of the MobiSys 2016 PhD Forum, co-located with MobiSys 2016)   2016

ISSN  9781450343312

QueueVadis: Queuing analytics using smartphones

Okoshi T., Lu Y., Vig C., Lee Y., Balan R., Misra A.

IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week) (IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week))     214 - 225 2015.04

ISSN  9781450334754

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We present QueueVadis, a system that addresses the problem of estimating, in real-time, the properties of queues at commonplace urban locations, such as coffee shops, taxi stands and movie theaters. Abjuring the use of any queuing-specific infrastructure sensors, QueueVadis uses participatory mobile sensing to detect both (i) the individual-level queuing episodes for any arbitrarily-shaped queue (by a characteristic locomotive signature of short bursts of "shuffling forward" between periods of "standing") and (ii) the aggregate-level queue properties (such as expected wait or service times) via appropriate statistical aggregation of multi-person data. Moreover, for venues where multiple queues are too close to be separated via location estimates, QueueVadis also uses a novel disambiguation technique to separate users into multiple distinct queues. User studies, performed with 138 cumulative total users observed at 23 different real-world queues across Singapore and Japan, show that QueueVadis is able to (a) identify all individual queuing episodes, (b) predict service and wait times fairly accurately (with median estimation errors in the 10%-20% range), independent of the queue's shape, (c) separate users in multiple proximate queues with close to 80% accuracy and (d) provide reasonable estimates when the participation rate (the fraction of QueueVadis-equipped people in the queue) is modest.

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Encouraging Team Behavior Modification Using Lifelog

西山 勇毅, 大越 匡, 米澤 拓郎, 中澤 仁, 高汐 一紀, 徳田 英幸

IPSJ Journal (Information Processing Society of Japan (IPSJ))  56 ( 1 ) 349 - 361 2015.01

ISSN  1882-7764

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Recent technological trends on mobile/wearable devices and sensors have been enabling increasing number of people to collect and store their "lifelog" 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 "competition" technique resulted the most effective performance for competitive teams such as sport teams.

• CiNii Research

ライフログデータを用いたチームの行動変容促進

西山 勇毅, 大越 匡, 米澤 拓郎, 中澤 仁, 高汐 一紀, 徳田 英幸

情報処理学会論文誌 (Information Processing Society of Japan (IPSJ))  56 ( 1 ) 349 2015.01

Joint Work, Accepted

Detection of User's Interruptibility for Attention Awareness in Ubiquitous Computing (本文)

大越匡

慶應義塾大学  2015

ライフログデータを用いたチームの行動変容促進

西山勇毅， 大越匡， 米澤拓郎， 中澤仁， 高汐一紀， 徳田英幸

情報処理学会論文誌 56 (1), 349-361  2015

UbiComp 2015 参加報告

大越匡

情報処理 57 (1), 82-83 57 ( 1 ) 82 2015

Single Work

Senbay: smartphone-based activity capturing and sharing using sensor-federated video

Y Nishiyama, T Okoshi, Y Chen, T Yonezawa, J Nakazawa, H Tokuda

Adjunct Proceedings of the 2015 ACM International Joint Conference on … (ACM Press)     21 - 24 2015

Joint Work, Accepted,  ISSN  9781450335751

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We present Senbay, a novel smartphone-based platform for capturing and sharing synchronously-recorded video/sensor data stream using animated two-dimensional barcode. In the ubicomp environment, mobile devices have enabled us to capture video and various types of sensor data easily. However, currently we do not have a framework to instantly integrate video and those sensor data on smartphones and share them easily with other users on the net. In this paper, we present Senbay, a platform to integrate video and sensor data stream into single video on smartphones. With Senbay, sensor data stream will be embedded into a video as animated QR code in real-time, thus users can share the \sensor-federated" video easily on the web, through lots of popular video sharing services. This paper introduces the architecture and evaluation of Senbay and discusses future vision of the sensor-federated video sharing platform along with several applications.

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Reducing users' perceived mental effort due to interruptive notifications in multi-device mobile environments

T Okoshi, J Ramos, H Nozaki, J Nakazawa, AK Dey, H Tokuda

Proceedings of the 2015 ACM International Joint Conference on Pervasive and … (ACM Press)     475 - 486 2015

Joint Work, Accepted,  ISSN  9781450335744

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Copyright © 2015 ACM. In today's ubiquitous computing environment where users carry, manipulate, and interact with an increasing number of networked devices, applications and web services, human attention is the new bottleneck in computing. It is therefore important to minimize a user's mental effort due to notifications, especially in situations where users are mobile and using multiple wearable and mobile devices. To this end, we propose Attelia II, a novel middleware that identifies breakpoints in users' lives while using those devices, and delivers notifications at these moments. Attelia II works in real-Time and uses only the mobile and wearable devices that users naturally use and wear, without any modifications to applications, and without any dedicated psycho-physiological sensors. Our in-The-wild evaluation in users' multi-device environment (smart phones and smart watches) with 41 participants for 1 month validated the effectiveness of Attelia. Our new physical activity-based breakpoint detection, in addition to the UI Event-based breakpoint detection, resulted in a 71.8% greater reduction of users' perception of workload, compared with our previous system that used UI events only. Adding this functionality to a smart watch reduced workload perception by 19.4% compared to random timing of notification deliveries. Our multi-device breakpoint detection across smart phones and watches resulted in about 3 times greater reduction in workload perception than our previous system.

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QueueVadis: Queuing Analytics using Smartphones

Okoshi Tadashi, Lu Yu, Vig Chetna, Lee Youngki, Balan Rajesh Krishna, Misra Archan

Proceedings of The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN '15) (ACM Press)     214 2015

Joint Work, Accepted

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Queuevadis: Queuing analytics using smartphones

T Okoshi, Y Lu, C Vig, Y Lee, RK Balan, A Misra

Proceedings of the 14th International Conference on Information Processing …  2015