A Computational Social Science Framework For Visualizing the Possibility Space of Consumer-Object Assemblages From Iot Interaction Data
We develop a computational science approach for understanding consumer experience from IoT interactions that is anchored using assemblage theory. Our approach operationalizes the concept of an assemblage’s underlying topological space of possibilities. We analyze structured IoT discourse data to reveal the realized possibility space of consumer-object interactions.
Citation:
Donna Hoffman and Thomas Novak (2018) ,"A Computational Social Science Framework For Visualizing the Possibility Space of Consumer-Object Assemblages From Iot Interaction Data", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 33-38.
Authors
Donna Hoffman, George Washington University, USA
Thomas Novak, George Washington University, USA
Volume
NA - Advances in Consumer Research Volume 46 | 2018
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