Modelling Memory-Based Decision Making

We asked participants to list all items that came to their minds in a variety of everyday choice settings. We used techniques from machine learning and data science to predict the items listed by participants, and, in six preregistered experiments, found robust context effects and semantic clustering effects.



Citation:

Ada Aka and Sudeep Bhatia (2019) ,"Modelling Memory-Based Decision Making", 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

Ada Aka, University of Pennsylvania, USA
Sudeep Bhatia, University of Pennsylvania, USA



Volume

NA - Advances in Consumer Research Volume 47 | 2019



Share Proceeding

Featured papers

See More

Featured

H9. Market Emergence: the Alignment Process of Entrepreneurs’ Socio Cognition and Consumers’ Perception of the Market

Hao Wang, University of South Florida, USA

Read More

Featured

O10. Individual Differences in Consumers' Need For Cognition and Affect: A Neuromarketing Study Using Voxel-Based Morphometry

Jianping Huang, Tsinghua University
Yang Sun, Tsinghua University
Jie Sui, University of Bath, UK
Xiaoang Wan, Tsinghua University

Read More

Featured

Globalizing from the Periphery: The Role of Consumer Paratextual Translation

Angela Gracia B. Cruz, Monash University, Australia
Yuri Seo, University of Auckland, New Zealand
Itir Binay, Monash University, Australia

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.