Papers - Nakazawa, Jin

Comparing ESM timings for emotional estimation model with fine temporal granularity

W Sasaki, J Nakazawa, T Okoshi

Proceedings of the 2018 ACM International Joint Conference and 2018 … (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers)     722 - 725 2018.10

Joint Work,  ISSN  9781450359665

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Towards wellbeing-awareness in computing, researches for estimating users' emotions using smartphone sensor data have been actively conducted as smartphones are getting more and more ubiquitous. Most studies have constructed emotion estimation models based on machine learning with contextual data from the smartphones and user's self-reporting ground truth label often collected via Experience Sampling Method (ESM). However, snice our emotion changes frequently in our daily lives, trying to collect the ground truth of such volatile emotions leads a storm of ESMs which could be burden to the users. In order to find better ESM methods, we propose and compare 3 ESMs, namely Randomized ESM that executes in randomly timings, Trigger ESM that executes when the user's behavior changes, and Unlocking ESM that sets up ESM on the unlocking screen. We constructed various emotional estimation models with four types of time granularity (1 day, 1/3 day, 3 hours, 1 hour) in four weeks experience with eight persons. As for the response rate, Unlocking ESM was the highest. In addition, it was clear that Unlocking ESM had the highest estimation accuracy in most cases.

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WellComP 2018: First international workshop on computing for well-being

T Okoshi, JG Ko, S Pirttikangas, J Nakazawa, F Kawsar

Proceedings of the 2018 ACM International Joint Conference and 2018 … (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers)     684 - 687 2018.10

Joint Work,  ISSN  9781450359665

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With the advancements in ubiquitous computing, ubicomp technology has deeply spread into our daily lives, including office work, home and house-keeping, health management, transportation, or even urban living environments. Furthermore, beyond the initial metric of computing, such as “efficiency” and “productivity”, the benefits that people (users) benefit on a well-being perspective based on such ubiquitous technology has been greatly paid attention in the recent years. In our first “WellComp” (Computing for Well-being) workshop, we intensively discuss about the contribution of ubiquitous computing towards users' well-being that covers both physical, mental, and social wellness (and their combinations), from the viewpoints of various different layers of computing. Having strong international organization members in various ubicomp research domains, WellComp 2018 will bring together researchers and practitioners from the academia and industry to explore versatile topics related to wellbeing and ubiquitous computing.

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Accelerating Urban Science by Crowdsensing with Civil Officers

T Yonezawa, K Takeuchi, T Ito, M Sakamura, Y Kishino, F Naya, N Ueda, ...

Proceedings of the 2018 ACM International Joint Conference and 2018 … (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers)     303 - 306 2018.10

Research paper (international conference proceedings), Joint Work,  ISSN  9781450359665

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We present how crowdsensing with civil officers contribute to collect larger amount of urban data with high spatial-temporal coverage, and enable to understand urban features by analyzing the data. We implemented a crowdsensing system which fits to daily city management, and conducted long-term experiment with garbage section of Fujisawa city, Japan. Based on analysis of collected data, we show that our system provide fine-grained urban data compared to crowdsensing with citizens with improving efficiency of city management. In addition, we analyze our dataset with demographic urban data, and clarified the relationship between pattern of uncollectible garbage thrown and features of resident area.

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Demo: Providing information of hidden spot for tourists to increase tourism satisfaction

Katayama S, Obuchi M, Okoshi T, Nakazawa J

UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers)     377 - 380 2018.10

Joint Work,  ISSN  9781450359665

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In this research, we propose a system that allows one to find a hidden spot that is scenic, yet unpopulated, with the intention of improving the satisfaction of one's trip. These hidden spots are not yet noted in the existing tourism services, however can provide a new place for the tourists to discover. We developed an application as a prototype to analyze and pinpoint hidden spots by using venue data from Foursquare [1]. We acquired 19,705 data around Tokyo and calculated the relative hiding spot degree. Thus, we made it possible to provide users with hidden spot information from smartphone application.

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Demo: Meal photo SNS with mutual healthiness evaluation for improving users' eating habits

Eigen Y, Nishiyama Y, Okoshi T, Nakazawa J, Yonezawa T

UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers)     339 - 342 2018.10

Joint Work,  ISSN  9781450359665

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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.

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Senbay: a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream.

Y Nishiyama, AK Dey, D Ferreira, T Yonezawa, J Nakazawa

MobileHCI Adjunct, 291    291 - 291 2018

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Automotive Sensing for Smart Cities: Current Practices and Challenges

Y Chen, T Yonezawa, J Nakazawa

 2018

Introduction to the Special Issue on Real-Time, Embedded and Cyber-Physical Systems

NAKAZAWA JINChang, Li-Pin; Kuo, Tei-Wei; Gill, Chris; et al.

ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 13 ( SI )  2014.11