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
Changing the World, One Word at a Time: The Effect of Font Size on Prosocial Intention
Rima Touré-Tillery, Northwestern University, USA
Ayelet Fishbach, University of Chicago, USA
Featured
I10. Can Body Size Influence the Judgments of Warmth and Competence?
Trang Thanh Mai, University of Manitoba, Canada
Olya Bullard, University of Winnipeg
Luming Wang, University of Manitoba, Canada
Featured
Attenuating Endowment Effect with Venmo: Online Payment Systems Make it a Pleasure to Pay
Liang Huang, University of Arizona, USA
Jennifer Savary, University of Arizona, USA