Anind Dey

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.

Publications

Multi-modal Interruptions on Primary Task Performance

Pooja P. Bovard, Kelly A. Sprehn, Meredith G. Cunha, Jaemin Chun, SeungJun Kim, Jana L. Schwartz, Sara K. Garver, Anind K. Dey

cognition, International Conference on Augmented Cognition, 2018 Jun 14, pp. 3-14

Discovering different kinds of smartphone users through their application usage behaviors

Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, Anind K. Dey

ubicomp, Ubiquitous Computing, 2016 Aug 11, pp. 498-509

Snap-To-It: A User-Inspired Platform for Opportunistic Device Interactions

Adrian A. de Freitas, Michael Nebeling, Xiang 'Anthony' Chen, Junrui Yang, Akshaye Shreenithi Kirupa Karthikeyan Ranithangam, Anind K. Dey

chi, Human Factors in Computing Systems, 2016 Apr 6, pp. 5909-5920

Serendipity: Finger Gesture Recognition using an Off-the-Shelf Smartwatch

Hongyi Wen, Julian Ramos Rojas, Anind K. Dey

chi, Human Factors in Computing Systems, 2016 Apr 6, pp. 3847-3851

Toward Personalized Activity Recognition Systems With a Semipopulation Approach

Jin-Hyuk Hong, Julian Ramos, Anind K. Dey

IEEE Transactions on Human-Machine Systems, vol. 46(1), 2016 31, pp. 101-112

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