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Learning patterns of pick-ups and drop-offs to support busy family coordination

Published: 07 May 2011 Publication History

Abstract

Part of being a parent is taking responsibility for arranging and supplying transportation of children between various events. Dual-income parents frequently develop routines to help manage transportation with a minimal amount of attention. On days when families deviate from their routines, effective logistics can often depend on knowledge of the routine location, availability and intentions of other family members. Since most families rarely document their routine activities, making that needed information unavailable, coordination breakdowns are much more likely to occur. To address this problem we demonstrate the feasibility of learning family routines using mobile phone GPS. We describe how we (1) detect pick-ups and drop-offs; (2) predict which parent will perform a future pick-up or drop-off; and (3) infer if a child will be left at an activity. We discuss how these routine models give digital calendars, reminder and location systems new capabilities to help prevent breakdowns, and improve family life.

References

[1]
Ashbrook, D. & Starner, T. (2002). Learning significant locations and predicting user movement with GPS. Proc. ISWC 2002, 101--108.
[2]
Atkeson, C. G., Moore, A. W. & Schaal, S. (1997). Locally Weighted Learning. Artificial Intelligence Review, 11:11--73.
[3]
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
[4]
Beech, S. et al. (2004) Lifestyles of working parents: Implications and opportunities for new technologies, HP Tech report HPL-2003-88 (R.1).
[5]
Begole, J., Tang, J. C. & Hill, R. (2003). Rhythm modeling, visualizations and applications. Proc. UIST 2003, 11--20.
[6]
Bentley, F. & Metcalf, C. (2007). Sharing motion information with close family and friends. Proc. CHI 2007, 1361--1370.
[7]
Brdiczka, O., Makoto Su, N., Begole, J. (2009). Using temporal patterns (t-patterns) to derive stress factors of routine tasks. Proc. CHI 2009 Ext. Abst., 4081--4086.
[8]
Brown, B. et al. (2007). Locating family values: A field trial of the Whereabouts Clock. Proc. UbiComp 2007, 354--371.
[9]
Cowan, R. S. (1985). More work for mother: The Ironies of household technology from the open hearth to the microwave. New York: Basic Books.
[10]
Darrah, C. N., Freeman, J. M. & English-Lueck, J. A. (2007). Busier than ever: Why American families can't slow down, Palo Alto: Stanford University Press.
[11]
Davidoff, S., Lee, M. K., Yiu, C. M., Zimmerman, J. & Dey, A. K. (2006) Principles of smart home control. Proc. UbiComp 2006, 19--34.
[12]
Davidoff, S., Lee, M. K., Dey, A. K. & Zimmerman, J. (2007). Rapidly exploring application design with Speed Dating. Proc. UbiComp 2007, 429--446.
[13]
Davidoff, S., Zimmerman, J. & Dey, A. K. (2010). How routine learners can support family coordination, Proc. CHI 2010, 2461--2470.
[14]
Dey, A. K. & Abowd, G. D. (2000). CybreMinder: A Context-Aware System for Supporting Reminders. Proc. HUC 2000, 172--186.
[15]
Eagle, N. & Pentland, A. (2006). Reality mining: Sensing complex social systems, Personal and Ubiquitous Computing, 10(4): 255--268.
[16]
Fogarty, J., Baker, R. S., & Hudson, S. E. (2005). Case studies in the use of ROC curve analysis for sensor-based estimates in human computer interaction. Proc GI 2005, 129--136.
[17]
Fiese, B. H. et al. (2002). A review of 50 years of research on naturally occurring family routines and rituals: Cause for celebration? Journal of Family Psychology, 16(4): 381--390.
[18]
Frissen, V. A. J. (2000) ICTs in the rush hour of life, The Information Society, 16: 65--75.
[19]
Gneezy, U. & Rustichini A. (2000). Pay enough or don't pay at all. Quarterly Journal of Economics, August 2000: 791--810.
[20]
González, M.C., Hidalgo, C.A. & Barabási, A.-L. (2008). Understanding individual human mobility patterns, Nature, 453, 479--482 (2008).
[21]
Huynh, T., Fritz, M. & Schiele, B. (2008) Discovery of activity patterns using topic models. Proc. UbiComp 2008, 10--19.
[22]
Krumm, J. & Horvitz, E. (2006). Predestination: Inferring destinations from partial trajectories. Proc. UbiComp 2006, 243--260.
[23]
Liao, L., Patterson, D. J., Fox, D., & Kautz, H. A. (2007). Learning and inferring transportation routines. Artificial Intelligence. 171, 311--331.
[24]
Ludford, P. J. et. al (2006). Because I carry my cell phone anyway: Functional location-based reminder applications. Proc. CHI 2006, 889--898.
[25]
Marmasse, N. & Schmandt, C. (2000). Location-aware information delivery with ComMotion. Proc. Handheld and Ubiquitous Computing, 64--73.
[26]
Medved, C. E. (2004) The everyday accomplishment of work and family: Exploring practical actions in daily routines, Communication studies, 55(1): 128--145.
[27]
Neustaedter, C., Brush, A. J. & Greenberg, S. (2009). The calendar is crucial: Coordination and awareness through the family calendar. ToCHI, 16(1): 1--48.
[28]
Pentland, B. T., Haerem, T. & Hillison, D. W. (2009). Using workflow data to explore the structure of an organizational routine, in M. C. Baecker & N. Lazaric (Eds.) Organizational routines: Advancing empirical research (pp. 47--67), Cheltenham: Edward Elgar.
[29]
Plaisant, C et al. (2006). Shared family calendars: Promoting symmetry and accessibility. ACM ToCHI. 13(3): 313--346.
[30]
Roberts, S. W. (1959). Control chart tests based on geometric moving averages. Technometrics,1, 239--250.
[31]
Simpson, R. C., Schreckenghost, D., LoPresti, E. F, Kirsch, N. (2006). Plans and planning in smart homes, J. C. Augusto & C. D. Nugent (Eds.), Designing Smart Homes: The Role of Artificial Intelligence, 71--84.
[32]
Suchman, L. (1983). Office procedures as practical action: Models of work and system design. ACM ToIS, 1(4): 320--328.
[33]
Taylor, A. S. et. al (2007). Homes that make us smart. Personal and Ubiquitous Computing. 11(5): 383--39.
[34]
Tolmie, P. et al. (2002). Unremarkable computing. Proc. CHI 2002, 399--406.
[35]
Van Laerhoven, K., Kilian, D. & Schiele, B. (2008). Using rhythm awareness in long-term activity recognition, Proc. ISWC 2008.
[36]
Wakkary, R. & Maestri, L. (2007). The resourcefulness of everyday design. Proc. Creativity and Cognition 2007, 163--172.
[37]
Wolin, S. J. & Bennett, L. A. (1984). Family rituals. Family Process, 23: 401--420.
[38]
Zerubavel, E. (1981). Hidden rhythms: schedules and calendars in social life, Chicago: The University of Chicago Press, 1981.
[39]
Ziebart, B. D. et. al (2008). Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior, Proc. Ubicomp 2008, 322--331.

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      cover image ACM Conferences
      CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      May 2011
      3530 pages
      ISBN:9781450302289
      DOI:10.1145/1978942
      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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      Published: 07 May 2011

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      Author Tags

      1. data mining
      2. gps
      3. graphical models
      4. machine learning
      5. mobile phones
      6. routines
      7. sensing
      8. statistical models

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      • (2024)Understanding the Effect of Reflective Iteration on Individuals’ Physical Activity PlanningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641937(1-17)Online publication date: 11-May-2024
      • (2023)Bedtime Pals: A Deployment Study of Sleep Management Technology for Families with Young ChildrenProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596068(1610-1629)Online publication date: 10-Jul-2023
      • (2023)Woes, Workarounds, and Wishes of Users Living in a Multinetwork RealityExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585795(1-7)Online publication date: 19-Apr-2023
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      • (2022)More than Bedtime and the Bedroom: Sleep Management as a Collaborative Work for the FamilyProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517535(1-16)Online publication date: 29-Apr-2022
      • (2022)Understanding People’s Experience for Physical Activity Planning and Exploring the Impact of Historical Records on Plan Creation and ExecutionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501997(1-15)Online publication date: 29-Apr-2022
      • (2022)If You Are Happy and You Know It, Say “I’m Here”: Investigating Parents’ Location-Sharing PreferencesHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22698-9_20(315-332)Online publication date: 10-Mar-2022
      • (2021) Implementation and Analytics of the Distributed Eco-Driving Simulation iCO 2 IEEE Access10.1109/ACCESS.2021.30623259(36252-36265)Online publication date: 2021
      • (2020)Practical Family Challenges of Remote Schooling during COVID-19 Pandemic in FinlandProceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society10.1145/3419249.3420155(1-9)Online publication date: 25-Oct-2020
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