Reifying the Possibility Space of Iot Automation Practices: a Machine Learning Approach

We use machine learning methods to operationalize and visualize an assemblage theory interpretation of the emergence of automation practices in the IoT. We build a concrete representation of the possibility space of automation assemblages to reveal the boundaries of territorialized automation practices, using it as a basis for interpretive analysis.



Citation:

Thomas Novak and Donna L. Hoffman (2019) ,"Reifying the Possibility Space of Iot Automation Practices: a Machine Learning Approach", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 347-351.

Authors

Thomas Novak, George Washington University, USA
Donna L. Hoffman, George Washington University, USA



Volume

NA - Advances in Consumer Research Volume 47 | 2019



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