Big Data for People

Human-Computer Interaction Researcher
Manager, Human Interfaces Group
Mission Operations
NASA Jet Propulsion Lab

Dissertation summary: Routine as resource for the design of learning systems

Scott Davidoff: 2011. Routine as resource for the design of learning systems. In Journal of Ambient Intelligence and Smart Environments (JAISE), 3(4): 371-372. | Bibtex | Endnote
The ubiquitous computation that underlies ambient intelligence offers an unprecedented framework for innovation to cycle between the Computer and Social Sciences. Commercial mobile phones effectively function as sensing platforms, effortlessly creating massive datasets. Machine learning and data mining provide powerful analytic lenses to observe and measure people in ways previously not possible. Examining data describing how routines support everyday activities, we can uncover new subjects for sensing and machine learning. I demonstrate the value of this approach using dual-income families. My studies of family logistics show that unexpected changes to plans cause parents the most anxiety. My data collection using mobile phones shows that that less than 20% of all days involve no unexpected changes. Interview studies show that family members sometimes need but do not have access to information about the plans and routines of other family members. Because family members do not document this information, they do not exist as resources family members can turn to when needed.
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