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  <title><![CDATA[PhD Dissertation by David A. Illingworth]]></title>
  <body><![CDATA[<p><strong>Name:</strong>&nbsp;<strong>David A. Illingworth</strong></p>

<p><strong>School of Psychology &ndash; Ph.D.&nbsp;Dissertation&nbsp;Defense Presentation</strong></p>

<p><strong>Date:</strong>&nbsp;Tuesday, June 11, 2019</p>

<p><strong>Time:</strong>&nbsp;10:00am</p>

<p><strong>Location:</strong>&nbsp;J. S. Coon building, Room 148</p>

<p>&nbsp;</p>

<p><strong>Advisor:</strong>&nbsp;Rick Thomas, Ph.D. (Georgia Tech)</p>

<p>&nbsp;</p>

<p><strong>Dissertation&nbsp;Committee Members:</strong></p>

<p>Jamie Gorman, Ph.D. (Georgia Tech)</p>

<p>Christopher Hertzog, Ph.D. (Georgia Tech)</p>

<p>Dobromir Rahnev, Ph.D. (Georgia Tech)</p>

<p>Karen Feigh, Ph.D. (Georgia Tech)</p>

<p>&nbsp;</p>

<p><strong>Title:</strong>&nbsp;<strong>Hypothesis-Guided Testing Behavior: The Role of Generation, Metacognition, and Search</strong></p>

<p>&nbsp;</p>

<p><strong>Abstract:</strong>&nbsp;Hypothesis testing is the act of acquiring information to challenge or promote a decision-maker&rsquo;s beliefs (i.e., hypotheses) in diagnostic tasks.&nbsp; To date, theorists have conceptualized this behavior as a consequence of implementing one of many possible heuristics for selecting tests, each tailored to optimize some task-relevant goal (e.g., reduce the likelihood of an erroneous diagnosis).&nbsp; Heuristics can account for a number of observed testing phenomena (e.g., pseudo-diagnostic search), but have difficulty explaining more nuanced testing behavior such as decisions to terminate data acquisition.&nbsp; Moreover, current theory has yet to address how updating a decision-maker&rsquo;s beliefs influences test preference, as hypothesis testing is often studied independent of other events inherent to hypothesis evaluation.&nbsp; The current work examined the role of belief in testing and search termination by evaluating a novel extension of the HyGene architecture (Thomas, Dougherty, Sprenger &amp; Harbison, 2008) built as a cognitive process account for hypothesis testing. &nbsp;Experiments 1 and 2 found limited support for hypothesis-driven valuation, as participants showed minimal signs of sensitivity to the diagnostic value of information depositories.&nbsp; Experiment 3 revealed a relation between belief and foraging duration such that less confidence early in a trial predicted more test exploitation.&nbsp; Model fitting indicated participants implemented a conservative threshold when determining the value of continued testing.&nbsp; Experiment 4 revealed cost-sensitivity in testing behavior, as well as an experience-driven contrast effect.&nbsp; Participants who experienced high costs early in the experiment generally engaged in less testing behavior than those who experienced low costs.&nbsp; The current work provides mild support for the predictions of the HyGene architecture, but clearly demonstrate a role for metacognitive self-assessment in decisions to terminate search and highlight the interaction of access costs with experience of costs when people perceive the value of engaging in testing behavior.&nbsp; &nbsp;</p>
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