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Decoding Preferences in a World of U...
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Yan, Zih-Yun,
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Decoding Preferences in a World of Uncertainty: A Neuroeconomic Approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Decoding Preferences in a World of Uncertainty: A Neuroeconomic Approach // Zih-Yun Yan.
作者:
Yan, Zih-Yun,
面頁冊數:
1 electronic resource (204 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-04, Section: A.
Contained By:
Dissertations Abstracts International86-04A.
標題:
Experimental psychology. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557010
ISBN:
9798342710213
Decoding Preferences in a World of Uncertainty: A Neuroeconomic Approach /
Yan, Zih-Yun,
Decoding Preferences in a World of Uncertainty: A Neuroeconomic Approach /
Zih-Yun Yan. - 1 electronic resource (204 pages)
Source: Dissertations Abstracts International, Volume: 86-04, Section: A.
Research on risk preferences in psychology and economics has long been conducted using different measurement approaches. Economics typically relies on behavioral measures, while psychology favors self-reports. However, discrepancies arising from these traditions prompt a reevaluation of past research validity.In the first part of my work, I enhance test-retest reliability in a standard economic-behavioral task, employing a repeated-measure approach. This method enables a comprehensive evaluation of dynamic choice behaviors, resulting in a more stable measurement. The improved reliability reveals a previously unobserved correlation between the DOSPERT survey of risk attitudes and behavioral economic measures of risk preferences.The second project extends this effort to define a common set of constructs for understanding human risk-taking behavior by developing a theory agnostic risk preference ontology. My methodological advancement involves using a data reduction technique to map essentially all standard measures of risk attitude into a single space. I incorporate both survey and tasks relevant to risk preference constructs. This approach identifies five core domains exhibiting significant independence, consolidating existing measures. The resulting ontological map of human risk preference suggests that it can be naturally decomposed into five orthogonal sub-constructs.In the third section of this thesis, I adopt a neurobiological perspective, exploring the interrelated concepts crucial for decision-making under uncertainty (ambiguity): beliefs and expectations. To relate these concepts to brain activity, I employ functional magnetic resonance imaging (fMRI). By systematically manipulating the reward prediction error under conditions of diminishing uncertainty, I find that belief updates are encoded in the medial prefrontal cortex (mPFC) and hippocampus. This final project expands the measurement space beyond behavioral choices.These studies provide insights into the test-retest reliability, task validity, neural signal underlying belief and expectation update & measurements, as well as offering insight into the relationship between economic and psychological notions of preferences.
English
ISBN: 9798342710213Subjects--Topical Terms:
2144733
Experimental psychology.
Subjects--Index Terms:
Risk preferences
Decoding Preferences in a World of Uncertainty: A Neuroeconomic Approach /
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Research on risk preferences in psychology and economics has long been conducted using different measurement approaches. Economics typically relies on behavioral measures, while psychology favors self-reports. However, discrepancies arising from these traditions prompt a reevaluation of past research validity.In the first part of my work, I enhance test-retest reliability in a standard economic-behavioral task, employing a repeated-measure approach. This method enables a comprehensive evaluation of dynamic choice behaviors, resulting in a more stable measurement. The improved reliability reveals a previously unobserved correlation between the DOSPERT survey of risk attitudes and behavioral economic measures of risk preferences.The second project extends this effort to define a common set of constructs for understanding human risk-taking behavior by developing a theory agnostic risk preference ontology. My methodological advancement involves using a data reduction technique to map essentially all standard measures of risk attitude into a single space. I incorporate both survey and tasks relevant to risk preference constructs. This approach identifies five core domains exhibiting significant independence, consolidating existing measures. The resulting ontological map of human risk preference suggests that it can be naturally decomposed into five orthogonal sub-constructs.In the third section of this thesis, I adopt a neurobiological perspective, exploring the interrelated concepts crucial for decision-making under uncertainty (ambiguity): beliefs and expectations. To relate these concepts to brain activity, I employ functional magnetic resonance imaging (fMRI). By systematically manipulating the reward prediction error under conditions of diminishing uncertainty, I find that belief updates are encoded in the medial prefrontal cortex (mPFC) and hippocampus. This final project expands the measurement space beyond behavioral choices.These studies provide insights into the test-retest reliability, task validity, neural signal underlying belief and expectation update & measurements, as well as offering insight into the relationship between economic and psychological notions of preferences.
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