Artificial Intelligence Review - Special issue on lazy learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CybreMinder: A Context-Aware System for Supporting Reminders
HUC '00 Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing
Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Rhythm modeling, visualizations and applications
Proceedings of the 16th annual ACM symposium on User interface software and technology
GI '05 Proceedings of Graphics Interface 2005
Because I carry my cell phone anyway: functional location-based reminder applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Shared family calendars: Promoting symmetry and accessibility
ACM Transactions on Computer-Human Interaction (TOCHI)
Learning and inferring transportation routines
Artificial Intelligence
Sharing motion information with close family and friends
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The resourcefulness of everyday design
Proceedings of the 6th ACM SIGCHI conference on Creativity & cognition
Personal and Ubiquitous Computing
Discovery of activity patterns using topic models
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
The calendar is crucial: Coordination and awareness through the family calendar
ACM Transactions on Computer-Human Interaction (TOCHI)
Using temporal patterns (t-patterns) to derive stress factors of routine tasks
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Using rhythm awareness in long-term activity recognition
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
How routine learners can support family coordination
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Locating family values: a field trial of the whereabouts clock
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Rapidly exploring application design through speed dating
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Principles of smart home control
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Plans and planning in smart homes
Designing Smart Homes
Family and design in the IDC and CHI communities
Proceedings of the 11th International Conference on Interaction Design and Children
Building a dynamic and computational understanding of personal social networks
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
"Our life is the farm and farming is our life": home-work coordination in organic farm families
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Using location lifelogs to make meaning of food and physical activity behaviors
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
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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.