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Modeling and understanding human routine behavior
Banovic N., Buzali T., Chevalier F., Mankoff J., Dey A.  CHI 2016 (Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, Santa Clara, CA, May 7-12, 2016)248-260.2016.Type:Proceedings
Date Reviewed: Feb 23 2017

The study of human routines is expanding the scope of behavioral sciences in light of actions performed by humans. Such studies help in improving bad habits, inexpert behaviors, and suboptimal routines of humans. This paper discusses a human routine behavior model.

The authors use decision theory, modeling “the causal relationship between contexts in which different routines occur and the actions that people perform in those contexts.” They model frequent and infrequent routines and their variations. The authors claim that their model distinguishes between routine and varied human behaviors, and allows comparisons between individual and population routine behavior. They further develop a visualization tool using the visual representation of a Markov decision process framework, which simplifies accessibility to the routine behavior models for the participants.

For the experiments, the authors hired five male and three female researchers at $25 compensation each, including doctoral students, postdoctoral fellows, research scientists, and visiting professors with knowledge of machine learning; two, four, and one had experience in data mining, activity recognition, and modeling human routine behavior, respectively. They conducted two identification tests: “daily routine for a randomly chosen person and weekday from the daily routines data set, and differences between routines of non-aggressive and aggressive drivers from the driving data set,” taking about 20 minutes and 60 minutes, respectively.

The authors claim that in routine modeling, there are two different human behaviors: “the casual relationship between the contexts and the actions the people perform in those contexts.” They plan on exploring other domains like health, accessibility, and software user interfaces in the future. This paper is an interesting read for researchers, doctoral students, and professionals who are working in the area of modeling and understanding human routine behavior.

Reviewer:  Lalit Saxena Review #: CR145078 (1705-0298)
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