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Restrain from pervasive logging employing geo-temporal policies

Authors:

Mohsin Ali Memon,

Tomonari KambaAuthors Info & Claims

APCHI '12: Proceedings of the 10th asia pacific conference on Computer human interaction

Pages 201 - 208

https://doi.org/10.1145/2350046.2350087

Published: 28 August 2012 Publication History

Abstract

Life logging has been a prominent research concern in recent years with the invention of wearable life capture gadgets and it has played a significant role in some situations such as helping Alzheimer disease patients. However, at the same time, it has raised privacy concerns among ordinary people. At present, life log devices are pervasively capturing information, including people in the vicinity without their consent. This will produce a great concern in the future if the majority of people come to have life log devices that record continuously what is happening around. In this paper, we propose a mechanism to restrict people from capturing a person in their personal digital diaries in real time by introducing Geo-temporal privacy framework. Furthermore, the system ensures that the unwilling party is not revealed to the life logging system users and privacy is sustained when the Geo-temporal framework discontinues the log activity after an encounter with the reluctant party. The prototype is developed on an Android-based smart phone that works as a life log device with a policy controller. The phone is connected to an Infrared Transmitter/Receiver with an interface board, for identifying human proximity.

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References

[1]

Gemmell, J., Bell, G., Lueder, R., Drucker, S., Wong, C. MyLifeBits: fulfilling the Memex vision. In Proc. Multimedia (2002). ACM; 2002. p. 235--238.

Digital Library

[2]

Kim, I. J., Ahn, S. C., Kim, H. G. Personalized life log media system in ubiquitous environment. In Proc. Ubiquitous convergence technology 2007. Springer-Verlag; 2007. p. 20--29.

Digital Library

[3]

Kärkkäinen, T., Vaittinen, T., Väänänen-Vainio-Mattila, K. I don't mind being logged, but want to remain in control: a field study of mobile activity and context logging. In Proc. Human factors in computing systems 2010. ACM; 2010. p. 163--172.

Digital Library

[4]

Allen, A. L., Gemmell, J. Dredging up the past: Lifelogging, memory, and surveillance. The University of Chicago Law Review. 2008;75(1):47--74.

[5]

Cheng, W. C., Golubchik, L., Kay, D. G. Total recall: are privacy changes inevitable? In: Proc. Continuous archival and retrieval of personal experiences 2004. ACM; 2004. p. 86--92.

Digital Library

[6]

Nguyen, D. H., Marcu, G., Hayes, G. R., Truong, K.N., Scott, J., Langheinrich, M., et al. Encountering SenseCam: personal recording technologies in everyday life. In Proc. Ubiquitous computing 2009. ACM; 2009. p. 165--174.

Digital Library

[7]

Intille, S. S., Tapia, E. M., Rondoni, J., Beaudin, J., Kukla, C., Agarwal, S., Bao, L., Larson, K. Tools for studying behavior and technology in natural settings. In Proc. UBICOMP 2003; Springer; 2003: 157--174.

[8]

Kern, N., Schiele, B., Schmidt, A. Recognizing context for annotating a live life recording. Personal Ubiquitous Comput. 2007 Apr;11(4):251--263.

Digital Library

[9]

Li, Y., Landay, J. A. Activity-based prototyping of ubicomp applications for long-lived, everyday human activities. In Proc. SIGCHI Human factors in computing systems 2008. ACM; 2008. p. 1303--1312.

Digital Library

[10]

Blum, M., Pentland, A., Troster, G. InSense: Interest-Based Life Logging. IEEE Multimedia. 2006 Dec;13(4):40--48.

Digital Library

[11]

Aizawa, K., Tancharoen, D., Kawasaki, S., Yamasaki, T. Efficient retrieval of life log based on context and content. In: Proc. Continuous archival and retrieval of personal experiences 2004. ACM; 2004. p. 22--31.

Digital Library

[12]

Choudhury T., Pentland A. The Sociometer: A Wearable Device for Understanding Human Networks. In Workshop on Ad hoc Communications and Collaboration in Ubiquitous Computing Environments. 2002.

[13]

Arduino Mega ADK Board http://www.arduino.cc/en/Main/ArduinoBoardADK

[14]

Senior, A., Pankanti, S., Hampapur, A., Brown, L., Tian, Y. L., Ekin, A., et al. Enabling video privacy through computer vision. IEEE Security & Privacy. 2005 Jun; 3(3):50--57.

Digital Library

[15]

Chaudhari, J., Cheung, S. S., Venkatesh, M. V. Privacy Protection for Life-log Video. In: IEEE Workshop on Signal Processing Applications for Public Security and Forensics, 2007. SAFE '07. IET; 2007. p. 1--5.

[16]

Makino, Y., Murao, M., Maeno, T. Life log system based on tactile sound. In Proc. Haptics 2010. Springer-Verlag; 2010. p. 292--297.

Digital Library

Cited By

Machado STavares JBarbosa J(2024)Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomyJournal of Ambient Intelligence and Smart Environments10.3233/AIS-22040716:1(3-22)Online publication date: 14-Mar-2024
https://doi.org/10.3233/AIS-220407

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Published In

cover image ACM Conferences

APCHI '12: Proceedings of the 10th asia pacific conference on Computer human interaction

August 2012

312 pages

ISBN:9781450314961

DOI:10.1145/2350046

General Chairs:
Kentaro Go
University of Yamanashi, Japan
,
Mitsuhiko Karashima
Tokai University, Japan
,
Program Chairs:
Shin'ichi Fukuzumi
NEC, Japan
,
Xiangshi Ren
Kochi University of Technology, Japan

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction
HCD-Net: Human Centered Design Organization

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 August 2012

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APCHI '12

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SIGCHI
HCD-Net

APCHI '12: Asia Pacific Conference on Computer Human Interaction

August 28 - 31, 2012

Shimane, Matsue-city, Japan

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Machado STavares JBarbosa J(2024)Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomyJournal of Ambient Intelligence and Smart Environments10.3233/AIS-22040716:1(3-22)Online publication date: 14-Mar-2024
https://doi.org/10.3233/AIS-220407

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