ScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule
Parth Bhawalkar, Victor Bigio, Adam Davis, Karthik Narayanaswami, Femi Olumoko
Abstract
As computing technology becomes more pervasive, personal devices such as the PDA, cell-phone, and notebook should use context to determine how to act. Location is one form of context that can be used in many ways. We present a multiple-device system that collects and clusters GPS data into significant locations. These locations are then used to determine travel times and a probabilistic model of the user's schedule, which is used to intelligently alert the user. We evaluate our system and suggest how it should be integrated with a variety of applications.
Create a lesson
Related papers
RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
Mingxuan Zhang, Xiaowen Wang, Anupma Sharan et al.
Q&A on Any Spreadsheet Requires Interpreting Its Grid Structure
Zofia Smoleń
Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models
Frank E. Bobe, Gregory D. Vetaw, Darshan W. Bryner et al.
Ownership in AI-Assisted Everyday Tasks
Megan Wei, Melanie Subbiah, Audrey Lee et al.
PAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations
Julian Eggert
Limits of Confidence in Diffusion
Russ Webb, Amitis Shidani, Alice Bizeul et al.