@inproceedings{3357a6b114b748ea9d28985081d5aa41,
title = "Automated prompting in a smart home environment",
abstract = "With more older adults and people with cognitive disorders preferring to stay independently at home, prompting systems that assist with Activities of Daily Living (ADLs) are in demand. In this paper, with the introduction of {"}The PUCK{"}, we take the very first approach to automate a prompting system without any predefined rule set or user feedback. We statistically analyze realistic prompting data and devise a classifier from statistical outlier detection methods. Further, we devise a sampling technique to help with skewed and scanty data sets. We empirically find a class distribution that would be suitable for our work and validate our claims with the help of three classical machine learning algorithms.",
keywords = "Automated prompting, Machine learning, Prompting systems, Smart environments",
author = "Barnan Das and Chao Chen and Nairanjana Dasgupta and Cook, {Diane J.} and Seelye, {Adriyana M.}",
year = "2010",
month = dec,
day = "1",
doi = "10.1109/ICDMW.2010.147",
language = "English (US)",
isbn = "9780769542577",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
pages = "1045--1052",
booktitle = "Proceedings - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010",
note = "10th IEEE International Conference on Data Mining Workshops, ICDMW 2010 ; Conference date: 14-12-2010 Through 17-12-2010",
}