Conference proceeding
Neural Correlates of Math Anxiety of Consumer Choices on Price Promotions
Advances in Neuroergonomics and Cognitive Engineering, v 775, pp 152-160
01 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Math anxiety is a problem that faces most people in their everyday life. Past research suggests that math anxiety can lead consumers to make errors in numerical computations. In this study, we utilized brain-based measures for the assessment of math anxiety in relationship to price perceptions. Functional near-infrared spectroscopy (fNIRS) from the prefrontal cortex was measured to determine differences in responses between high and low math anxiety participants. Participants performed two tasks under load and no-load conditions performing math calculations in relation to a price promotion. Preliminary results indicate that there is a performance difference between low and high math anxiety participants in both oxygenated hemoglobin results and behavioral performance. This study outlines a new method for determining how math anxiety affects consumers' decisions regarding prices.
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Details
- Title
- Neural Correlates of Math Anxiety of Consumer Choices on Price Promotions
- Creators
- Amanda Sargent - Drexel UniversityAtahan Agrali - Drexel UniversitySiddharth Bhatt - Drexel Univ, LeBow Coll Business, 3141 Chestnut St, Philadelphia, PA 19104 USAHongjun Ye - Drexel UniversityKurtulus Izzetoglu - Drexel UniversityBanu Onaral - Drexel UniversityHasan Ayaz - Children's Hospital of PhiladelphiaRajneesh Suri - Drexel University
- Contributors
- H Ayaz (Editor) - Children's Hospital of PhiladelphiaL Mazur (Editor)
- Publication Details
- Advances in Neuroergonomics and Cognitive Engineering, v 775, pp 152-160
- Series
- Advances in Intelligent Systems and Computing
- Publisher
- Springer Nature
- Number of pages
- 9
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Bennett S. LeBow College of Business; School of Biomedical Engineering, Science, and Health Systems; Marketing
- Web of Science ID
- WOS:000464997800015
- Scopus ID
- 2-s2.0-85049698345
- Other Identifier
- 991019168597004721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Ergonomics
- Neurosciences