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 More

Featured

C6. How Does Unsatisfied Curiosity Stir Our Craving For Food?

Chen Wang, Drexel University, USA

Read More

Featured

That's Just Plain Creepy: Understanding Consumer Responses to Personalized Food Products That Resemble People

Freeman Wu, Vanderbilt University, USA
Adriana Samper, Arizona State University, USA
Andrea Morales, Arizona State University, USA
Gavan Fitzsimons, Duke University, USA

Read More

Featured

Don't Troll Me Bro: A Study of Griefing in Video Games

Elana Harnish, Ohio University
Jacob Lee Hiler, Ohio University

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.