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Neural Correlates of Consumer Behavior in Online Marketplaces: An fMRI Study Leallyn Murtagh Department of Biomedical Engineering University of Southern California, Los Angeles, CA 90007 Leallyn Murtagh Department of Biomedical Engineering University of Southern California, Los Angeles, CA 90007 Angelika Dimoka Department of Bioengineering University of California-Riverside, Riverside, CA 92521
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Introduction Neuroscience Information Systems Lab Joint project between: Department of Bioengineering at UCR Department of Information Systems at UCR Department of Biomedical Engineering at USC Neuroscience Information Systems Lab Joint project between: Department of Bioengineering at UCR Department of Information Systems at UCR Department of Biomedical Engineering at USC
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Background Cognitive neuroscience fMRI measures hemodynamics Social sciences Uncertainty Trust Purchase Intentions Neuroeconomics A branch of neuroscience that focuses on consumer decision-making and interaction Cognitive neuroscience fMRI measures hemodynamics Social sciences Uncertainty Trust Purchase Intentions Neuroeconomics A branch of neuroscience that focuses on consumer decision-making and interaction
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Goals Develop a methodology for localizing neural correlates of constructs Further our understanding of the brain Enhance online transactions to benefit society Develop a methodology for localizing neural correlates of constructs Further our understanding of the brain Enhance online transactions to benefit society
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The Experiment
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Amazon
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Matrix
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The Protocol Amazon vs. Matrix Likert-type questionnaire 80 questions total Amazon vs. Matrix Likert-type questionnaire 80 questions total
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The Protocol Amazon vs. Matrix Likert-type questionnaire 80 questions total 10 s intervals Followed by paper survey Amazon vs. Matrix Likert-type questionnaire 80 questions total 10 s intervals Followed by paper survey
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Analysis Preprocessing Statistical Analysis with SPM2 Neuroscience evaluation Preprocessing Statistical Analysis with SPM2 Neuroscience evaluation
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Results for Uncertainty Amazon: Inferior Parietal Cortex (IPC) Low levels of uncertainty Anticipation of reward Matrix: Orbitofrontal Cortex High levels of uncertainty Dorsolateral prefrontal cortex (DLPFC) Working memory Medial frontal gyrus (MFG) Voluntary movement Amazon: Inferior Parietal Cortex (IPC) Low levels of uncertainty Anticipation of reward Matrix: Orbitofrontal Cortex High levels of uncertainty Dorsolateral prefrontal cortex (DLPFC) Working memory Medial frontal gyrus (MFG) Voluntary movement
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Results for Trust Amazon: Lateral prefrontal cortex (LPFC) Delayed rewards Amazon: Right putamen Positive reward prediction Matrix: Orbitofrontal Cortex Lack of trust Amazon: Lateral prefrontal cortex (LPFC) Delayed rewards Amazon: Right putamen Positive reward prediction Matrix: Orbitofrontal Cortex Lack of trust
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Results for Intention Amazon: Ventrolateral prefrontal cortex (VLPFC) Higher intentions Amazon: Bilateral amygdala Positive reward prediction Amazon: Insular Cortex Negative emotions Matrix: Left putamen Error in prediction Amazon: Ventrolateral prefrontal cortex (VLPFC) Higher intentions Amazon: Bilateral amygdala Positive reward prediction Amazon: Insular Cortex Negative emotions Matrix: Left putamen Error in prediction
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Conclusions Preliminary results show the method’s potential in localizing neural correlates of constructs Challenges previous linear assumptions Enhances our knowledge of how brain activity corresponds to social phenomena Characterizes the ideal website Preliminary results show the method’s potential in localizing neural correlates of constructs Challenges previous linear assumptions Enhances our knowledge of how brain activity corresponds to social phenomena Characterizes the ideal website
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Thank You Acknowledgements: Dr. Angelika Dimoka Bryan Yeh Farouk Bruce Gabrielle Goodman Dr. Victor Rodgers And the BRITE REU Program Acknowledgements: Dr. Angelika Dimoka Bryan Yeh Farouk Bruce Gabrielle Goodman Dr. Victor Rodgers And the BRITE REU Program
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