Papers - OKOSHI Tadashi

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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Interiorizor: Reassembling Everyday Objects into an Interior

Morishige Hironao, Yamada Suguru, Nozaki Hiroki, Ogawa Masaki, Okoshi Tadashi, Yonezawa Takuro, Tokuda Hideyuki

CHI 2016 Symposium on Emerging Japanese HCI Research Collection Program  2016

Joint Work, Accepted

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

• Access to Document (DOI)

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

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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UbiTtention: smart & ambient notification and attention management

A Voit, B Poppinga, D Weber, M Böhmer, N Henze, S Gehring, T Okoshi, ...

Proceedings of the 2016 ACM International Joint Conference on Pervasive and … (ACM Press)     1520 2016

Joint Work, Accepted

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UbiMI: 3rd international workshop on ubiquitous mobile instrumentation

Ferreira Denzil, Okoshi Tadashi, Nishiyama Yuuki, Koehler Christian, Park Jung Wook, Lucero Andr{\'{e}}s

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16 (ACM Press)     608 2016

Joint Work, Accepted

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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

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.

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

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

EverCuate: Asynchronous Tsunami Evacuation Training - Whoever, Wherever, Whenever -

Okoshi Tadashi

 2015

Single Work, Accepted

Detection of User’s Interruptibility for Attention Awareness in Ubiquitous Computing

T Okoshi

Keio University  2015

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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Attelia: Reducing User’s Cognitive Load due to Interruptive Notifications on Smart Phones

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

IEEE International Conference on Pervasive Computing and Communications 2015 … (2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015)     96 - 104 2015

Joint Work, Accepted,  ISSN  9781479980338

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© 2015 IEEE. In today's ubiquitous computing environment where the number of devices, applications and web services are ever increasing, human attention is the new bottleneck in computing. To minimize user cognitive load, we propose Attelia, a novel middleware that identifies breakpoints in user interaction and delivers notifications at these moments. Attelia works in realtime and uses only the mobile devices that users naturally use and wear, without any modifications to applications, and without any dedicated psycho-physiological sensors. Our evaluation proved the effectiveness of Attelia. A controlled user study showed that notifications at detected breakpoint timing resulted in 46% lower cognitive load compared to randomly-timed notifications. Furthermore, our 'in-the-wild' user study with 30 participants for 16 days further validated Attelia's value, with a 33% decrease in cognitive load compared to randomly-timed notifications.

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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