"All-about" diaries: concepts and experiences
Article No.: 1, Pages 1 - 11
Abstract
Smart phones and pervasive computing technologies enable the vision of all-about diaries: tools for recording, in a browsable and machine-processable format, the everyday activities and events of people, communities, objects and places. Diaries offer a wealth of opportunities for consumers and industries. Yet, while proposals exist indicating promising approaches to implement parts of them, several challenges still have to be faced to produce fully-edged working systems. In this paper we discuss opportunities and technologies that enable such diaries to be created. Then, we present a prototype of a diary based on location data.
References
[1]
G. Bell and J. Gemmell. Total Recall: How the E-Memory Revolution Will Change Everything. Dutton, 2009.
[2]
N. Bicocchi, G. Castelli, M. Mamei, A. Rosi, and F. Zambonelli. Supporting location-aware services for mobile users with the whereabouts diary. In International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications, Innsbruck, Austria, 2008.
[3]
N. Bicocchi, M. Mamei, and F. Zambonelli. Detecting human activities from body worn accelerometers via instance-based algorithms. Pervasive and Mobile Computing Journal, 6(4):70--77, 2010.
[4]
D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 3(1):993--1022, 2003.
[5]
S. Bohm, J. Koolwaaij, M. Luther, B. Souville, M. Wagner, and M. Wibbels. Introducing iyouit. In International Semantic Web Conference, Karlsruhe, Germany, 2008.
[6]
M. Buettner, R. Prasad, M. Philipose, and D. Wetherall. Recognizing daily activities with rfid-based sensors. In International Conference on Ubiquitous Computing, Orlando (FL), USA, 2009.
[7]
F. Calabrese, J. Reades, and C. Ratti. Eigenplaces: analysing cities using the space-time structure of the mobile phone network. IEEE Pervasive Computing, 9(1):78--84, 2010.
[8]
S. Cho, K. Kim, K. Hwang, and I. Song. Anidiary: Daily cartoon-style diary exploits bayesian networks. IEEE Pervasive Computing, 6(3):66--75, 2007.
[9]
T. Choudhury, S. Consolvo, B. Harrison, J. Hightower, A. LaMarca, L. LeGrand, A. Rahimi, A. Rea, G. Borriello, B. Hemingway, P. Klasnja, K. Koscher, J. Landay, J. Lester, D. Wyatt, and D. Haehnel. The mobile sensing platform: An embedded system for activity recognition. IEEE Pervasive Computing, 7(2):32--41, 2008.
[10]
B. Clarkson. Life Patterns. PhD Thesis, Massachusetts Institute of Technology, 2003.
[11]
A. K. Clear, R. Shannon, T. Holland, S. Dobson, A. Quigley, and P. Nixon. Situvis: a visual tool for modeling a user's behaviour patterns in a pervasive environment. In International Conference on Pervasive Computing, Nara, Japan, 2009.
[12]
N. Dalvi, R. Kumar, B. Pang, R. Ramakrishnan, A. Tomkins, P. Bohannon, S. Keerthi, and S. Merugu. A web of concepts. In ACM Symposium on Principles of Database Systems, Providence (RI), USA, 2009.
[13]
D. Darlin. The iPod Ecosystem. The New York Times, February 3, 2006.
[14]
N. Eagle, A. Pentland, and D. Lazer. Inferring social network structure using mobile phone data. Proceedings of the National Academy of Sciences (PNAS), 106(36):15274--15278, 2009.
[15]
K. Farrahi and D. Gatica-Perez. Discovering routines from large-scale human locations using probabilistic topic models. ACM Transactions on Intelligent Systems and Technology, 2(1), 2011.
[16]
L. Ferrari and M. Mamei. Discovering daily routines from google latitude with topic models. In IEEE Workshop on Context Modeling and Reasoning, Seattle (WA), USA, 2011.
[17]
J. Gemmell, G. Bell, and R. Lueder. Mylifebits: a personal database for everything. Communications of the ACM, 49(1):88--95, 2006.
[18]
F. Girardin, J. Blat, F. Calabrese, F. D. Fiore, and C. Ratti. Digital footprinting: Uncovering tourists with user-generated content. IEEE Pervasive Computing, 7(4):36--43, 2008.
[19]
K. Hwang and S. Cho. Life log management based on machine learning technique. In IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Seoul, South Korea, 2008.
[20]
R. Ji, X. Xie, H. Yao, and W. Ma. Mining city landmarks from blogs by graph modeling. In ACM international Conference on Multimedia, Beijing, China, 2009.
[21]
P. Klasnja, B. Harrison, L. LeGrand, A. LaMarca, J. Froehlich, and S. Hudson. Using wearable sensors and real time inference to understand human recall of routine activities. In International Conference on Ubiquitous Computing, Seoul, South Korea, 2008.
[22]
J. Krumm. Ubiquitous advertising: The killer application for the 21st century. IEEE Pervasive Computing, 10(1):66--73, 2011.
[23]
J. Kukkonen, E. Lagerspetz, P. Nurmi, and M. Andersson. Betelgeuse: A platform for gathering and processing situational data. IEEE Pervasive Computing, 8(2):49--56, 2009.
[24]
H. Lu, J. Yang, Z. Lu, N. Lane, T. Choudhury, and A. Campbell. The jigsaw continuous sensing engine for mobile phone applications. In ACM Conference on Embedded Networked Sensor Systems, Zurich, Switzerland, 2010.
[25]
T. Maekawa, Y. Yanagisawa, Y. Kishino, K. Kamei, Y. Sakurai, and T. Okadome. Object-blog system for environment-generated content. IEEE Pervasive Computing, 7(4):20--27, 2008.
[26]
E. Miluzzo, N. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. Eisenman, X. Zheng, and A. Campbell. Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. In ACM Conference on embedded network sensor systems, Raleigh (NC), USA, 2008.
[27]
W. M. Newman, M. A. Eldridge, and G. M. Lamming. Pepys: Generating autobiographies by automatic tracking. In European Conference on Computer-Supported Cooperative Work, Amsterdam, NL, 1991.
[28]
D. Nguyen, G. Marcu, G. Hayes, K. Truong, J. Scott, M. Langheinrich, and C. Roduner. Encountering sensecam: Personal recording technologies in everyday life. In International Conference on Ubiquitous Computing, Orlando (FL), USA, 2009.
[29]
L. Nixon, E. Simperl, R. Krummenacher, and F. MartinRecuerda. Tuplespace-based computing for the semantic web: a survey of the state-of-the-art. The Knowledge Engineering Review, 23(2):181--212, 2008.
[30]
D. Olguin and A. Pentland. Sensor-based organisational design and engineering. International Journal of Organisational Design and Engineering, 1(1/2):69--97, 2010.
[31]
A. Sellen and S. Whittaker. Beyond total capture: A constructive critique of lifelogging. Communications of the ACM, 53(5):70--77, 2010.
[32]
S. Sigg, S. Haseloff, and K. David. An alignment approach for context prediction tasks in ubicomp environments. IEEE Pervasive Computing, 9(4):90--97, 2010.
[33]
A. Ståhl, K. Höök, M. Svensson, A. S. Taylor, and M. Combetto. Experiencing the affective diary. Personal and Ubiquitous Computing, 13(5):365--378, 2011.
[34]
Y. Zheng, L. Zhang, Z. Ma, X. Xie, and W. Ma. Recommending friends and locations based on individual location history. ACM Transaction on the Web, 5(1), 2011.
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- "All-about" diaries: concepts and experiences
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Published In
July 2011
123 pages
ISBN:9781450305600
DOI:10.1145/2016551
- General Chair:
- Paul Grace,
- Program Chairs:
- René Meier,
- Liviu Iftode
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Published: 04 July 2011
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COMSWARE '11
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COMSWARE '11: 5th International Conference on Communication System Software and Middleware
July 4 - 5, 2011
Verona, Italy
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