This document discusses challenges for big data applications in Japan. It outlines three applications: 1) traffic data analysis for efficient driving, 2) traffic simulations for evacuation during earthquakes, and 3) real-time health data analysis. These could provide benefits but also invade privacy by collecting large amounts of personal data. Current law does not adequately protect privacy for data like vehicle movements. Addressing privacy concerns while enabling useful analysis will require balancing privacy protections with data use through legal and technical frameworks.

1. Challenges for the Big Data
Applications in Japan: Hopes and
Concerns
Takushi Otani
Kibi International University

2. Introduction
• In this presentation, I will discuss three big
data challenging applications that are thought
to have promising large social benefits but
might bring large risks on the same time.

3. Introduction
• The applications are (1) traffic data acquisition
and analysis for more efficient and safe driving
of vehicles on public roads, (2) traffic
simulations for evacuation assistance in the
event of a mega-earthquake, and (3) real-time
physiological information acquisition and
analysis for health care.

4. Introduction
• These technologies are expected to bring many
social benefits, including economic opportunities,
reduction of environmental burden, health
promotion, and saving lives in disasters. On the
other hand, these technologies might invade
people's privacy on a large scale and produce a
serious imbalance between big organizations,
such as governments and large companies, and
individuals by collecting and analyzing individuals’
sensitive personal data.

5. Introduction
• Unfortunately, we have no easy remedies for
these concerns. However, I believe we can
build a good juridical and technological
framework that will allow us to take
advantage of the benefits of big data and
minimize its disadvantages. We have to have a
firm grasp on these technologies and analyze
them carefully in the future to balance their
advantages and disadvantages.

6. Efficient and Safe traffic
by big data application…
Honda Internavi Concept Framework
from Honda Homepage <http://www.honda.co.jp/internavi/about/PR_index.html>

7. Efficient and Safe traffic
by big data application…
Data and Information Flow Model Diagram of Honda Internavi
From JSAE homepage <https://www.jsae.or.jp/autotech/data_e/14-8e.html>

8. Visualization of CO2 Emission
from traffic by Big Data Application
Honda Internavi The visualization of CO2 Emission from the traffic in Japan
https://www.youtube.com/watch?v=L2pttzjunpw

9. Honda Internavi The visualization of
CO2 Emission from the traffic in Japan

10. Honda Internavi FCD supports mobility
in disaster-struck areas
Honda Internavi floating car (probe) data supports mobility in disaster-struck areas
https://www.youtube.com/watch?v=IoIDSWBMao4

11. Honda Internavi FCD supports mobility
in disaster-struck areas

12. The Visualization of the transition of the traffic
in east Japan from the mega-earthquake
Connecting Lifelins <https://www.youtube.com/watch?v=36SmV91F6S4>

13. The Visualization of the transition of
the traffic in east Japan from the
mega-earthquake

14. “Mega-earthquake big data projet”
by Japanese compnies
From NHK 震災ビッグデータ homepage
<http://www.nhk.or.jp/datajournalism/about/>

15. Real-time Acquiring Physiological Data
From persons’ bodies
Accelerometer in iPhone from an article of Engadget
<http://www.engadget.com/2012/05/22/the-engineer-guy-shows-how-a-smartphone-
accelerometer-works/>

16. Examples of Bracelet Type of Gadget
Tracking and Recording Human Activities
Nike+ FuelBand Se
Epson Pulsense
Jawbone UP 2

17. An Image of Wearable Health Care
Gadget in the Future
NTT Data Healthcare in the Future (a Commercial Video)
https://www.youtube.com/watch?v=AoP8PbGX5g0

18. NTT Data Healthcare in the Future
(a Commercial Video)

19. Big Data Concerns
• Big Data Applications tend to utilize sensitive
personal data such as tracking a person’s
movements and activities, which may reveal
some private facts and health-related data,
including telling the person about a serious
disease.

20. the Act of the Protection of Personal
Information in Japan
• The 2003 Act does not protect the tracking data
of vehicles or a person’s personal information.
• It doesn’t regard personal data without the
identifiers of the data subjects as personal
information which it regulates.
• Information scientists have found that we cannot
completely anonymize personal data, so we will
always have some risk of privacy invasion when
utilizing personal data, even after modifications
to anonymize it.

21. tradeoff between privacy protection
and detailed data analysis
• The statistical data gathered from a
combination of personal data is at low risk of
invading the privacy of the data subjects, since
the statistically processed data cannot
generally reveal details of the situation at any
significant level of granularity. Thus, we have a
tradeoff between privacy protection and
detailed data analysis.

22. Regulation of Health Care Data
from the wearable devices
• if the health care data, which are recorded
constantly and in heavy time density, were
analyzed properly, they might reveal a medical
situation of the data subject in detail. So, detailed
health care data from wearable devices should be
protected for confidentiality in the future. Now, I
heard that some ISO processes are making
progress toward implementing standards for the
protection of health care data. We need to regard
such data as sensitive and properly protect it
through technology and the legal system.

23. The Challenge for the Big Data
Application in the Future
• Efforts to establish effective measures to
protect our privacy and reduce the risks are
under way. I believe we can build a good
juridical and technological framework that will
allow us to take advantage of the benefits of
big data and minimize its disadvantages. We
must have a firm grasp on these technologies
and analyze them carefully to balance their
advantages and disadvantages in the future.