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
Share Proceeding
Featured papers
See MoreFeatured
I’m Just Trying to Help: How Volunteers’ Social Media Posts Alter Support for Charitable Organizations
Michelle Daniels, Arizona State University, USA
Kirk Kristofferson, Ivey Business School
Andrea Morales, Arizona State University, USA
Featured
Anticipated Interpersonal Feedback Reshapes Other-oriented Intertemporal Choices
Adelle Xue Yang, National University of Singapore, Singapore
Oleg Urminsky, University of Chicago, USA
Featured
Tackling Over-Consumption: How Proximal Depictions of Unhealthy Food Products Influence the Consumption Behavior
Sumit Malik, IE Business School, IE University
Eda Sayin, IE Business School, IE University, Spain
Kriti Jain, IE Business School, IE University, Spain