Evolving the Ecosystem of Personal Behavioral Data

REFERENCES

• Abrams, J.J. (Producer & Director). (2009). Star trek [Motion picture]. United States: Paramount Pictures.
   Google Scholar
• Ackerman, M. S., Cranor, L. F., & Reagle, J. (1999). Privacy in e-commerce: Examining user scenarios and privacy preferences. Proceedings of the 1999 ACM Conference on Electronic Commerce. New York, NY: ACM.
   Google Scholar
• Adar, E., Karger, D., & Stein, L. A. (1999). Haystack: Per-user Information Environments. Proceedings of the 1999 International Conference on Information and Knowledge Management, New York, NY: ACM.
   Google Scholar
• Aharony, N., Pan, W., Ip, C., Khayal, I., & Pentland, A. (2011). Social fMRI: Investigating and shaping social mechanisms in the real world. Pervasive and Mobile Computing, 7(6), 643–659. doi:10.1016/j.pmcj.2011.09.004
   Web of Science ®Google Scholar
• Ahern, S., Eckles, D., Good, N., King, S., Naaman, M., & Nair, R. (2007). Over-exposed? Privacy patterns and considerations in online and mobile photo sharing. Proceedings of the CHI 2007 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Ammari, T., Kumar, P., Lampe, C., & Schoenebeck, S. (2015). Managing children’s online identities. Proceedings of the CHI 2015 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Anderson, M. (2015). Technology device ownership: 2015. Pew Research Reports, 1–26. Retrieved from http://www.pewinternet.org/2015/10/29/technology-device-ownership-2015
   Google Scholar
• Andrews, S., Ellis, D. A., Shaw, H., Piwek, L., MacKerron, G., Mourato, S., … Jenkins, R. (2015). Beyond self-report: Tools to compare estimated and real-world smartphone use. Plos One, 10(10), e0139004. doi:10.1371/journal.pone.0139004
   PubMed Web of Science ®Google Scholar
• Bell, G. (2001). A personal digital store. Communications of the ACM, 44(1), 86–91. doi:10.1145/357489.357513
   Web of Science ®Google Scholar
• Ben-Shimon, D., Friedman, M., Hoerle, J., Tsikinovsky, A., Gude, R., & Aluchanov, R. (2014). Deploying recommender system for the masses. Proceedings of the companion publication of the IUI 2014 International Conference on Intelligent User Interfaces. New York, NY: ACM.
   Google Scholar
• Ben-Shimon, D., Rokach, L., Shani, G., & Shapira, B. (2016). Anytime Algorithms for Recommendation Service Providers. ACM Transactions on Intelligent Systems and Technology, 7(3), 1–26. doi:10.1145/2885506
   Web of Science ®Google Scholar
• Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109–132. doi:10.1016/j.knosys.2013.03.012
   Web of Science ®Google Scholar
• Brandimarte, L., & Acquisti, A. (2012).The economics of privacy. In M. Peitz & J. Waldfogel (Eds.), The Oxford handbook of the digital economy (pp. 547–571). New York, NY: Oxford University Press.
   Google Scholar
• Bush, V. (1945, July). As we may think. The Atlantic Monthly. Retrieved from https://www.theatlantic.com/magazine/archive/1945/07/as-we-may-think/303881/.
   Google Scholar
• Cáceres, R., Cox, L., Lim, H., Shakimov, A., & Varshavsky, A. (2009). Virtual individual servers as privacy-preserving proxies for mobile devices. Proceedings of the 1st ACM workshop on Networking, Systems, and Applications for Mobile Handhelds. New York, NY: ACM.
   Google Scholar
• Card, O. S. (1985). Ender’s game (Vol. 1). New York, NY: St. Martin’s Press.
   Google Scholar
• Chilton, L. B., Little, G., Edge, D., Weld, D. S., & Landay, J. A. (2013). Cascade. Proceedings of the CHI 2013 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Chu, D., Kansal, A., Liu, J., & Zhao, F. (2011). Mobile apps: It’s time to move up to CondOS. Proceedings of the HotOS 2011 Conference on Hot Topics in Operating Systems. Berkeley, CA: USENIX.
   Google Scholar
• Consolvo, S., McDonald, D. W., Toscos, T., Chen, M. Y., Froehlich, J., Harrison, B., … Landay, J. A. (2008). Activity sensing in the wild: A field trial of ubifit garden. Proceedings of the CHI 2008 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., Mortier, R., & Haddadi, H. (2016). Enabling the new economic actor: Data protection, the digital economy, and the Databox. Personal and Ubiquitous Computing, 20(6), 947–957. doi:10.1007/s00779-016-0939-3
   Web of Science ®Google Scholar
• Das, S., Hayashi, E., & Hong, J. I. (2013). Exploring capturable everyday memory for autobiographical authentication. Proceedings of the UbiComp 2013 Joint Conference on Pervasive and Ubiquitous Computing. New York, NY: ACM.
   Google Scholar
• Das, S., Wiese, J., & Hong, J. I. (2016). Epistenet: Facilitating programmatic access & processing of semantically related mobile personal data. Proceedings of the MobileHCI 2016 International Conference on Human Computer Interaction with Mobile Devices and Services. New York, NY: ACM.
   Google Scholar
• Davidoff, S., Ziebart, B. D., Zimmerman, J., & Dey, A. K. (2011). Learning patterns of pick-ups and drop-offs to support busy family coordination. Proceedings of the CHI 2011 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• de Montjoye, Y.-A., Shmueli, E., Wang, S. S., & Pentland, A. S. (2014). openPDS: Protecting the privacy of metadata through SafeAnswers. Plos One, 9(7), e98790. doi:10.1371/journal.pone.0098790
   PubMed Web of Science ®Google Scholar
• Dey, A. K., & Mankoff, J. (2005). Designing mediation for context-aware applications. ACM Transactions on Computer-Human Interaction, 12(1), 53–80. doi:10.1145/1057237
   Google Scholar
• Dey, A., Salber, D., & Abowd, G. (2001). A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction, 16(2), 97–166. doi:10.1207/S15327051HCI16234_02
   Web of Science ®Google Scholar
• Dim, E., Kuflik, T., & Reinhartz-Berger, I. (2015). When user modeling intersects software engineering: The Info-bead user modeling approach. User Modeling and User-Adapted Interaction, 25(3), 189–229. doi:10.1007/s11257-015-9159-1
   Web of Science ®Google Scholar
• Doryab, A., Min, J. K., Wiese, J., Zimmerman, J., & Hong, J. I. (2014). Detection of behavior change in people with depression. AAAI Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI.
   Google Scholar
• Dourish, P. (2001). Seeking a foundation for context-aware computing. Human–Computer Interaction, 16(2–4), 229–241. doi:10.1207/S15327051HCI16234_07
   Web of Science ®Google Scholar
• Ducheneaut, N., & Bellotti, V. (2001). E-mail as habitat: An exploration of embedded personal information management. Interactions, 8(5), 30–38. doi:10.1145/382899.383305
   Google Scholar
• Duhigg, C. (2012, February 16). How companies learn your secrets. The New York Times Magazine. Retrieved from http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html
   Google Scholar
• Dumais, S., Cutrell, E., Cadiz, J. J., Jancke, G., Sarin, R., & Robbins, D. C. (2003). Stuff I’ve seen: A system for personal information retrieval and re-use. Proceedings of the SIGIR 2003 Conference on Research and Development in Informaion Retrieval. New York, NY: ACM.
   Google Scholar
• Dupree, J. L., Devries, R., Berry, D. M., & Lank, E. (2016). Privacy personas. Proceedings of the CHI 2016 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Eagle, N., & Pentland, A. (2006). Reality mining: Sensing complex social systems. Personal and Ubiquitous Computing, 10(4), 255–268. doi:10.1007/s00779-005-0046-3
   Web of Science ®Google Scholar
• eMarketer. (2015). Growth of time spent on mobile devices slows. Retrieved December 12, 2016, from https://www.emarketer.com/Article/Growth-of-Time-Spent-on-Mobile-Devices-Slows/1013072
   Google Scholar
• Estrin, D. (2014). Small data, where n = me. Communications of the ACM, 57(4), 32–34. doi:10.1145/2580723
   Web of Science ®Google Scholar
• Farnham, S. D., & Churchill, E. F. (2011). Faceted identity, faceted lives. Proceedings of the CSCW 2011 Conference on Computer Supported Cooperative Work. New York, NY: ACM.
   Google Scholar
• Felton, N. (2015). The Feltron Annual Report Tenth Edition. Retrieved from http://feltron.com/FAR14.html
   Google Scholar
• Fernandes, E., Riva, O., & Nath, S. (2015). My OS ought to know me better: In-app behavioural analytics as an OS service. HOTOS 2015 Workshop on Hot Topics in Operating Systems. New York, NY: ACM.
   Google Scholar
• Ferreira, D., Kostakos, V., & Dey, A. K. (2015). AWARE: Mobile Context Instrumentation Framework. Frontiers in ICT, 2. doi:10.3389/fict.2015.00006
   Google Scholar
• Fire Eagle. (n.d.). In Wikipedia. Retrieved from https://en.wikipedia.org/wiki/Fire_Eagle
   Google Scholar
• Fogarty, J., & Hudson, S. (2007). Toolkit support for developing and deploying sensor-based statistical models of human situations. Proceedings of the CHI 2007 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Gemmell, J., Bell, G., Lueder, R., Drucker, S., & Wong, C. (2002). MyLifeBits: Fulfilling the Memex Vision. Proceedings of the MM 2002 International Conference on Multimedia. New York, NY: ACM.
   Google Scholar
• Gerritsen, D., Tasse, D., Olsen, J. K., Vlahovic, T. A., Gulotta, R., Odom, W., … Zimmerman, J. (2016). Mailing archived emails as postcards: Probing the value of virtual collections. Proceedings of the CHI 2016 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Gilbert, E., & Karahalios, K. (2009). Predicting tie strength with social media. Proceedings of the CHI 2009 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Gurevich, Y., Haiby, N., Hudis, E., Wing, J. M., & Ziklik, E. (2016). Biggish A solution for the inverse privacy problem. Retrieved from http://research.microsoft.com/en-us/um/people/gurevich/Opera/230.pdf
   Google Scholar
• Gurevich, Y., Hudis, E., & Wing, J. M. (2016). Inverse privacy. Communications of the ACM, 59(7), 38–42. doi:10.1145/2963119
   Web of Science ®Google Scholar
• Haddadi, H., Howard, H., Chaudhry, A., Crowcroft, J., Madhavapeddy, A., & Mortier, R. (2015). Personal data: Thinking inside the box. Arxiv Preprint Arxiv:1501.04737. Retrieved from https://arxiv.org/abs/1501.04737.
   Google Scholar
• Higgins Personal Data Service. (2009). Retrieved from http://www.eclipse.org/higgins/
   Google Scholar
• Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., … Wood, K. (2006). SenseCam: A retrospective memory aid. Proceedings of the UbiComp 2006 Conference of Ubiquitous Computing. Berlin, Germany: Springer.
   Google Scholar
• Hong, J., & Landay, J. (2004). An architecture for privacy-sensitive ubiquitous computing. Proceedings of the MobiSys 2004 Conference on Mobile Systems, Applications, and Services. New York, NY: ACM.
   Google Scholar
• Hori, T., & Aizawa, K. (2003). Context-based video retrieval system for the life-log applications. Proceedings of the SIGMM 2003 International Workshop on Multimedia Information Retrieval. New York, NY: ACM.
   Google Scholar
• Iachello, G., & Hong, J. (2007). End-user privacy in human–computer interaction. FNT in Human-Computer Interaction 1(1), 1–137. doi:10.1561/1100000004
   Google Scholar
• Jonze, S. (Producer & Director). (2013). Her [Motion picture]. United States: Annapurna Pictures.
   Google Scholar
• Karger, D. R., & Jones, W. (2006). Data unification in personal information management. Communications of the ACM, 49(1), 77–82. doi:10.1145/1107458
   Web of Science ®Google Scholar
• Kay, J., & Kummerfeld, B. (2010). PortMe : Personal lifelong user modelling portal. School of Information Technologies, University of Sydney, Sydney, Australia.
   Google Scholar
• Kelley, P. G., Consolvo, S., Cranor, L. F., Jung, J., Sadeh, N., & Wetherall, D. (2012). A conundrum of permissions: Installing applications on an android smartphone. Proceedings of the FC 2012 Conference on Financial Cryptography and Data Security. Berlin, Germany: Springer.
   Google Scholar
• Konstan, J. A., & Riedl, J. (2012). Recommender systems: From algorithms to user experience. User Modeling and User-Adapted Interaction, 22(1–2), 101–123. doi:10.1007/s11257-011-9112-x
   Web of Science ®Google Scholar
• Kosinski, M., Stillwell, D., & Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences of the United States of America, 110(15), 5802–5805. doi:10.1073/pnas.1218772110
   PubMed Web of Science ®Google Scholar
• Langheinrich, M. (2001). Privacy by design—Principles of privacy-aware ubiquitous systems. Proceedings of the UbiComp 2001 Conference on Ubiquitous Computing. Berlin, Germany: Springer.
   Google Scholar
• Lara, O. D., & Labrador, M. A. (2013). A survey on human activity recognition using wearable sensors. IEEE Communications Surveys & Tutorials, 15(3), 1192–1209. doi:10.1109/SURV.2012.110112.00192
   Web of Science ®Google Scholar
• Lau, T. (2010, November). Rethinking the systems review process. Communications of the ACM, 53(11), 10–11. doi:10.1145/1839676
   Web of Science ®Google Scholar
• Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.-L., Brewer, D., … Van Alstyne, M. (2009). Computational social science. Science, 323(5915), 721–723. doi:10.1126/science.1167742
   PubMed Web of Science ®Google Scholar
• Leon, P. G., Rao, A., Schaub, F., Marsh, A., Cranor, L. F., & Sadeh, N. (2015). Why people are (un)willing to share information with online advertisers (Technical Report CMU-ISR-15-106). Pittsburgh, PA: Carnegie Mellon University.
   Google Scholar
• Li, I., Dey, A., & Forlizzi, J. (2010). A stage-based model of personal informatics systems. Proceedings of the CHI 2010 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Lin, J., Amini, S., Hong, J. I., Sadeh, N., Lindqvist, J., & Zhang, J. (2012). Expectation and purpose: Understanding users’ mental models of mobile app privacy through crowdsourcing. Proceedings of the UbiComp 2012 Conference on Ubiquitous Computing. New York, NY: ACM.
   Google Scholar
• Lin, J., Liu, B., Sadeh, N., & Hong, J. I. (2014). Modeling users’ mobile app privacy preferences: Restoring usability in a sea of permission settings. Proceedings of the SOUPS 2014 Symposium On Usable Privacy and Security. Menlo Park, CA: USENIX Association.
   Google Scholar
• Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., & Zimmerman, J. (2011). I’M the mayor of my house: Examining why people use Foursquare—A social-driven location sharing application. Proceedings of the CHI 2011 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Liu, Y., Gummadi, K. P., Krishnamurthy, B., & Mislove, A. (2011). Analyzing facebook privacy settings: User expectations vs. reality. Proceedings of the SIGCOMM 2011 Conference on Internet Measurement Conference. New York, NY: ACM.
   Google Scholar
• Matsuo, Y., Okazaki, N., Izumi, K., Nakamura, Y., Nishimura, T., Hasida, K., & Nakashima, H. (2007). Inferring long-term user properties based on users’ location history. Proceedings of the IJCAI 2007 Joint Conference on Artificial Intelligence. San Francisco, CA: Morgan Kaufmann.
   Google Scholar
• Matyas, C., & Schlieder, C. (2009). A spatial user similarity measure for geographic recommender systems. Proceedings of the GeoS 2009 Conference on GeoSpatial Semantics. Berlin, Germany: Springer.
   Google Scholar
• Min, J.-K., Doryab, A., Wiese, J., Amini, S., Zimmerman, J., & Hong, J. I. (2014). Toss “n” turn: Smartphone as sleep and sleep quality detector. Proceedings of the CHI 2014 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Min, J.-K., Wiese, J., Hong, J. I., & Zimmerman, J. (2013). Mining smartphone data to classify life-facets of social relationships. Proceedings of the CSCW 2013 Conference on Computer Supported Cooperative Work. New York, NY: ACM.
   Google Scholar
• Mun, M., Hao, S., Mishra, N., Shilton, K., Burke, J., Estrin, D., … Govindan, R. (2010). Personal data vaults: A locus of control for personal data streams. Proceedings of the Co-NEXT 2010 International Conference. New York, NY: ACM.
   Google Scholar
• Mun, M. Y., Kim, D. H., Shilton, K., Estrin, D., Hansen, M., & Govindan, R. (2014). PDVLoc. ACM Transactions on Sensor Networks, 10(4), 1–29. doi:10.1145/2633905
   Web of Science ®Google Scholar
• Odom, W., Harper, R., Sellen, A., Kirk, D., & Banks, R. (2010). Passing on & putting to rest. Proceedings of the CHI 2010 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Odom, W., Zimmerman, J., & Forlizzi, J. (2014). Placelessness, spacelessness, and formlessness: Experiential qualities of virtual possessions. Proceedings of the DIS 2014 Conference on Designing Interactive Systems. New York, NY: ACM.
   Google Scholar
• Odom, W., Zimmerman, J., Forlizzi, J., López Higuera, A., Marchitto, M., Cañas, J., … Moore, H. (2013). Fragmentation and transition: Understanding perceptions of virtual possessions among young adults in Spain, South Korea and the United States. Proceedings of the CHI 2013 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Oku, K., Kotera, R., & Sumiya, K. (2010). Geographical recommender system based on interaction between map operation and category selection. Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems. New York, NY: ACM.
   Google Scholar
• Patel, K., Bancroft, N., Drucker, S. M., Fogarty, J., Ko, A. J., & Landay, J. (2010). Gestalt: Integrated support for implementation and analysis in machine learning. Proceedings of the UIST 2010 Symposium on User Interface Software and Technology. New York, NY: ACM.
   Google Scholar
• Rainie, L., & Duggan, M. (2016). Privacy and information sharing (Vol. 14). Washington, DC: Pew Research Center. Retrieved from http://www.pewinternet.org/2016/01/14/privacy-and-information-sharing/
   Google Scholar
• Rittel, H. J., & Webber, M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169. doi:10.1007/BF01405730
   Web of Science ®Google Scholar
• Romanosky, S., Acquisti, A., Hong, J. I., Cranor, L. F., & Friedman, B. (2006). Privacy patterns for online interactions. Proceedings of the PLoP 2006 Conference on Pattern Languages of Programs. New York, NY: ACM.
   Google Scholar
• Salber, D., Dey, A. K., & Abowd, G. D. (1999). The context toolkit. Proceedings of the CHI 1999 Conference on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Schein, A. I., Popescul, A., Ungar, L. H., & Pennock, D. M. (2002). Methods and metrics for cold-start recommendations. Proceedings of the SIGIR 2002 Conference on Research and Development in Information Retrieval. New York, NY: ACM.
   Google Scholar
• Schilit, B., Adams, N., & Want, R. (1994). Context-aware computing applications. Proceedings of the WMCSA 1994 Workshop on Mobile Computing Systems and Applications. New York, NY: IEEE.
   Google Scholar
• Sellen, A. J., & Whittaker, S. (2010). Beyond total capture: A Constructive critique of lifelogging. Communications of the ACM, 53(5), 70–77. doi:10.1145/1735223
   Web of Science ®Google Scholar
• Starner, T. E., Snoeck, C. M., Wong, B. A., & McGuire, R. M. (2004). Use of mobile appointment scheduling devices. Proceedings of the CHI 2004 Extended Abstracts on Human Factors in Computer Systems. New York, NY: ACM.
   Google Scholar
• Wang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., … Campbell, A. T. (2014). StudentLife: Assessing mental health, academic performance and behavioral trends of college students using smartphones. Proceedings of the UbiComp 2014 Joint Conference on Pervasive and Ubiquitous Computing. New York, NY: ACM.
   Google Scholar
• Want, R., Pering, T., Danneels, G., Kumar, M., Sundar, M., & Light, J. (2002). The personal server: Changing the way we think about ubiquitous computing. Proceedings of the Ubicomp 2002 Conference on Ubiquitous Computing. Berlin. Springer.
   Google Scholar
• Westin, A. (2001). Opinion surveys: What consumers have to say about information privacy [Prepared Witness Testimony]. Washington, DC: The House Committee on Energy and Commerce.
   Google Scholar
• The White House. (2016, November). Request for information regarding data portability. Retrieved from https://www.whitehouse.gov/webform/request-information-regarding-data-portability
   Google Scholar
• Whittaker, S., Jones, Q., & Terveen, L. (2002). Contact management. Proceedings of the CSCW 2002 Conference on Computer Supported Cooperative Work. New York, NY: ACM.
   Google Scholar
• Wiese, J. (2015). Evolving the ecosystem of personal behavioral data (Technical Report CMU-HCII-15-108). Pittsburgh, PA: Carnegie Mellon University.
   Google Scholar
• Wiese, J., Biehl, J. T., Turner, T., van Melle, W., & Girgensohn, A. (2011). Beyond “Yesterday’s Tomorrow”: Towards the design of awareness technologies for the contemporary worker. Proceedings of the MobileHCI 2011 Conference on Human–Computer Interaction with Mobile Devices and Services. New York, NY: ACM.
   Google Scholar
• Wiese, J., Hong, J. I., & Zimmerman, J. (2014). Challenges and opportunities in data mining contact lists for inferring relationships. Proceedings of the Ubicomp 2014 Joint Conference on Pervasive and Ubiquitous Computing. New York, NY: ACM.
   Google Scholar
• Wiese, J., Kelley, P. G., Cranor, L. F., Dabbish, L., Hong, J. I., & Zimmerman, J. (2011). Are you close with me? are you nearby?: Investigating social groups, closeness, and willingness to share. Proceedings of the UbiComp 2001 Conference on Ubiquitous Computing. New York, NY: ACM.
   Google Scholar
• Wiese, J., Min, J.-K., Hong, J. I., & Zimmerman, J. (2015). “You never call, you never write”: Call and SMS logs do not always indicate tie strength. Proceedings of the CSCW 2015 Conference on Computer Supported Cooperative Work & Social Computing. New York, NY: ACM.
   Google Scholar
• Wolfram, S. (2012, March 8). The personal analytics of my life [Web log post]. Retrieved from http://blog.stephenwolfram.com/2012/03/the-personal-analytics-of-my-life/
   Google Scholar