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

, , , and . CHI, page 1175-1184. ACM, (2011)

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Special issue on "Intelligent systems and services for ubiquitous computing"., , , and . Pers. Ubiquitous Comput., 13 (7): 445-447 (2009)Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection., , , , , , , , , and 2 other author(s). ACM Trans. Comput. Hum. Interact., 28 (1): 3:1-3:41 (2021)Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students., , , , , , , , , and 5 other author(s). Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (1): 41:1-41:27 (2021)User profiling from their use of smartphone applications: A survey., , , , , , and . Pervasive Mob. Comput., (2019)Creating Smart Buildings and Cities., , , and . IEEE Pervasive Comput., 16 (2): 23-25 (2017)Challenges of Parkinson's Disease: User Experiences with STOP., , , , , , , and . MobileHCI, page 22:1-22:11. ACM, (2019)How robots' questions affect the accuracy of the human responses., , and . RO-MAN, page 1137-1142. IEEE, (2009)editoral: Situated Interaction and Context-Aware Computing., , , and . Personal and Ubiquitous Computing, 5 (1): 1-3 (2001)Location-Based Services., , , and . IEEE Pervasive Computing, 9 (1): 11-12 (2010)Uncovering information needs for independent spatial learning for users who are visually impaired., , , , and . ASSETS, page 24:1-24:8. ACM, (2013)