Routines: How Everyday Activities can Intelligently Inform the Design of Interactive Systems

The Value of Leveraging Human Behaviors and Routines in Interactive Mobile and IoT-based Systems

Speaker: Anind Dey

November 28th, 2018, 12:00pm

DFP Classroom: FSC 2300

Commodity smart phones and Internet-of-Things (IoT) devices have made the visions of ubiquitous computing common place. However, despite the rapid adoption of this technology, we have not progressed much past the use of location-based systems in commercial ubicomp systems. Researchers have started using people's interactions with such devices to better understand human behavior and routines. In this talk, I will describe the value of leveraging human behaviors and routines in interactive mobile and IoT-based systems. I will demonstrate how the ability to opportunistically extract these routines (and anomalies) can dramatically enhance interactive systems in a number of domains, including healthcare, driving, education, and sustainability, as they can be used to create effective interventions and supporting systems.

Event directions

Once you are inside the Forestry Science building walk to the rear (south-east) of the building by passing through the large open study area and up the stairs to the 2nd level student (“treetop”) lounge area. Turn left, pass through the double doors, and room 2300 will be immediately to your right.

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DFP Distinguished Seminar

About the speaker

Anind Dey

Professor & Dean of iSchool, University of Washington

Anind K. Dey is a Professor and Dean of the Information School. Anind is renowned for his early work in context-aware computing, an important theme in modern computing, where computational processes are aware of the context in which they operate and can adapt appropriately to that context. His research is at the intersection of human-computer interaction, machine learning, and ubiquitous computing. For the past few years, Anind has focused on passively collecting large amounts of data about how people interact with their phones and the objects around them, to use for producing detection and classification models for human behaviors of interest. He applies a human-centered and problem-based approach through a collaboration with an amazing collection of domain experts in areas of substance abuse (alcohol, marijuana, opioids), mental health, driving and transportation needs, smart spaces, sustainability, and education. Anind was inducted into the ACM SIGCHI Academy for his significant contributions to the field of human-computer interaction in 2015.