Willett, Ciara L.
(2020)
The Accuracy of Causal Learning over 24 Days.
Master's Thesis, University of Pittsburgh.
(Unpublished)
This is the latest version of this item.
Abstract
Humans often rely on past experiences stored in long-term memory to predict the outcome of an event. In traditional lab-based experiments (e.g., causal learning, probability learning, etc.), these observations are compressed into a successive series of learning trials. The rapid nature of this paradigm means that completing the task relies on working memory. In contrast, real-world events are typically spread out over longer periods of time, and therefore long-term memory must be used. We conducted a 24-day smartphone study to assess how well people can learn causal relationships in extended timeframes. Surprisingly, we found few differences in causal learning when subjects observed events in a traditional rapid series of 24 trials as opposed to one trial per day for 24 days. Specifically, subjects were able to detect causality for generative and preventive datasets and also exhibited illusory correlations in both the short-term and long-term designs. We discuss theoretical implications of this work.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
16 September 2020 |
Date Type: |
Publication |
Defense Date: |
19 June 2019 |
Approval Date: |
16 September 2020 |
Submission Date: |
4 August 2020 |
Access Restriction: |
1 year -- Restrict access to University of Pittsburgh for a period of 1 year. |
Number of Pages: |
51 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Dietrich School of Arts and Sciences > Psychology |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
causal learning; probability learning; illusory correlation; long-term memory; smartphone |
Date Deposited: |
16 Sep 2020 16:04 |
Last Modified: |
16 Sep 2021 05:15 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/39712 |
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The Accuracy of Causal Learning over 24 Days. (deposited 16 Sep 2020 16:04)
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