Research
Below are a few research projects I have taken the lead on during my time at FIU. Be sure to click on the image of the accompanying poster presentations to follow along as well as any other supporting links
The Impact of Delay on Central and Peripheral Details in Eyewitness Reports
Overview​
This project examined how memory for crime-related events changes over time by comparing central, peripheral, and accurate details recalled after short and long delays. Results showed that recall remained largely stable, though accuracy for peripheral details improved after a short delay. These findings highlight the complexity of eyewitness memory and the need for refined methods, such as eye-tracking, to better understand how attention shapes recall in legal contexts.
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Purpose
This project was part of my Honors Thesis within my major. I have been working with the I-Lab for nearly two years and wanted to take on more responsibility and challenge myself. Under the guidance of the Principal Investigator, Dr. Nadja Schreiber Compo, and my mentor, Dr. Haley Dawson, I utilized data from Dr. Dawson's dissertation, which I had previously helped code from start to finish. From that dataset, I developed my own coding scheme and designed a study based on a selected subset of the data. I chose this topic because I believe it is crucial to understand our cognitive processes especially in regards to serious issues such as crimes, where the incorrect reminiscence can lead to a false conviction. This focus aligns with my broader interest in neuropsychology, which seeks to understand the relationship between brain function and behavior. I believe that by improving our understanding of cognitive processes, we can improve everyday decision-making and also contribute to critical fields such as the legal system.
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Introduction
Memory doesn't work like a perfect recording. This is important in criminal investigations since it can decay over time. This is important in criminal investigations since witnesses can get interviewed at different time points, some even months after in court.
For this reason, we wanted to see how details change over time
We did this by looking at 3 elements: Central details, Peripheral details, and accuracy. These types of details are important because they will help us understand what information witnesses are working with that might be investigatively relevant. That way, we can better develop investigative tools
Such as utilising interviewing techniques to prime recall on the types of details that might help solve crimes.
We defined Central vs Peripheral details visually, delineated by the foveal ring. Anything within the foreground of the ring for at least 20 seconds was considered a central detail. Anything outside the right or background was considered a peripheral detail. This followed foveal attentional & legal psychology research and was done to ensure simplicity in coding. Accuracy was defined by details recalled by participants matching the stimulus
Material
Methods
Additional coding of central, peripheral, and accurate details was derived from a larger study. This study included the typical undergraduate FIU population, consisting mostly of white, Hispanic, female participants. Participants watched a mock crime video and recalled information at two different time points:
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immediate delay and one hour delay
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immediate delay and two-week delay
Along with coding the original elements, change scores were also calculated
to see the difference in the amount of recalled details between the two delayed interviews of one hour and two weeks.
Hypotheses
Our first two predictions were non-directional hypotheses, and focused on comparing the immediate and one-hour delay and the immediate and two-week delay. We predicted that peripheral details would change more across delay than central details, which will also be true when accounting for accuracy. This is because literature suggests that peripheral details are more susceptible to decay than central details. One such explanation of this could be from factors such as a lack of attentional emphasis on the stimulus, resulting in improper encoding of information and subsequent retrieval of the information.
Our last predictions were directional hypotheses and focused on comparing the total change between the one-hour delay group to the two-week delay group by looking at their change scores. We predicted that participants overall would recall more central information after a shorter delay and less peripheral information after a longer delay. This is because literature suggests that central details are not as affected by memory decay. One such explanation of this could be from attention research, which suggests that the more concentration one has on a stimulus, especially if it is in their center point of view, then the more they are likely to deeply encode and readily recall the information.
Results
None of the hypotheses were fully supported. H2 was partially supported since there was only significance in peripheral accuracy in the one-hour delay, but no significance was found in the two-week delay. In order for this hypothesis to be supported, significance would have had to be translated in the two-week delay condition as well in order to be able to draw a fair comparison. In other words, we found that only recall of accurate peripheral details increased after a short delay, while central and peripheral details, as well as central accuracy, remained unchanged. As for the other hypotheses, there was no significant difference in any condition after a two-week delay, and overall recall remained stable over time. This means short-term delays enhanced recall accuracy for Peripheral details.
Limitations
These results may have been influenced by some limitations:
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Within the literature, there is no clear consensus on how to properly define central and peripheral details, resulting in many studies creating their definitions to fit their studies. For this reason, if we changed the way central and peripheral details were defined, this could have changed the way information was coded and the subsequent results. For example, there was a student present in the left corner of the room throughout the video of the mock crime, however, she was not central to the crime or visually. Even so, the participants still recalled a high amount of information about her. Future directions should utilise eye tracking to better understand what participants encode and find important in a crime.
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The video was also tightly focused, resulting in limited peripheral content to recall, since most information available to recall was central details
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Of the information available to recall, 87% of details were recalled accurately, resulting in low variability in the data, which makes it difficult to detect significant changes.
Understanding Indian Medical Students’ Perceptions of LGBTQ+ Healthcare: Bridging Gaps in Culture, Education, and Training
Overview​
This study examined Indian medical students’ perceptions of LGBTQ+ healthcare. Survey data from 174 students revealed that most participants were open to treating LGBTQ+ patients, with over half disagreeing that they would avoid advising or consulting with them. More than 70% reported confidence in gathering sexual and social histories, though fewer felt prepared to perform physical exams. These findings suggest that while students show willingness and interpersonal comfort, there is a clear need for formal training that integrates clinical skills with cultural awareness to ensure equitable care for LGBTQ+ populations.
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Purpose
This project was the second part of my ARCH Honors Thesis. The ARCH thesis was an extended literature review on the current existing stigma in India surrounding LGBTQ+ identifying individuals and the current political and educational systems in place (or lack thereof) that contribute to the perpetuation of stigma. This poster presentation focuses on the same topic of stigma by utilizing the scientific method. I believe this is an important topic to research, as it is essential in any medical or professional setting to ensure that all individuals, regardless of background, are provided with equitable treatment. This research aims to find the gaps in equity to continue to build a more inclusive medical environment.
Background
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LGBTQ+ populations in India face health inequities due to cultural stigma, discrimination, and limited access to gender-affirming care.
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Indian medical curricula rarely address LGBTQ+ health needs, leaving future physicians underprepared.
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This study examines medical students’ comfort and preparedness in addressing LGBTQ+ patients’ healthcare needs, especially regarding physical exams and obtaining sexual/social histories.
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Methods
This particular study measured how perceptions of knowledge and training preparation influence stigma when serving LGBTQ+ populations in the medical field. The data was taken from a pilot study conducted in 2023, which included a total of 212 medical students, but only 174 qualified to participate. The demographics of medical students consisted of a relatively even split of males and females from first through 3rd year students, interns, and post-graduates, with the majority of participants being 3rd year students. Qualtrics link to the study was distributed to faculty in approved courses in the Karnataka region, and participants were given informed consent and debriefed, and compensated following completion of the study. The study itself consisted of a questionaire which used Likert-scale questions from a modified stigma scale towards schizophrenia towards LGBTQ+ patients. For this analysis, we used these three questions:
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​I would rather avoid administering and advising about medication for LGBTQ+ patients
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I would rather avoid consultations with LGBTQ+ patients as much as possible.
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I feel that it is too much work to deal with LGBTQ+ patients.
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Results
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Medication Advising: 51.2% disagreed with the idea of avoiding medication advisement for LGBTQ+ patients.
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Consultations: 53.5% disagreed with avoiding consultations; overall, 85.7% did not endorse avoiding advisement.
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Workload Perceptions: 44.2% disagreed with the idea that treating LGBTQ+ patients is “too much work.”
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Sexual & Social Histories: Over 70% expressed confidence in taking sexual/social histories, suggesting relative comfort in patient interaction.
Discussion
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Students show willingness to support LGBTQ+ patients but lack training in specific skills (e.g., physical exams, cultural humility).
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Targeted interventions in medical education should combine clinical skills with awareness of cultural and identity-specific needs.
This essentially challenges the findings that medical students are widely uncomfortable addressing LGBTQ+ needs. Our findings reinforce the need for LGBTQ+ inclusive medical education and curricula, as noted by the downward trend in stigma levels. The effects of this training have been evident in the skills and cultural humility reflected in the effective and professional care towards LGBTQ+ patients. Although this trend seems positive, it is important to note that there is a notable percentage that preferred not to answer the questions. Future directions should not only look into why that is and what we can do to enforce comfortable disclosure, but also what we can do to maintain and strengthen medical professionalism for LGBTQ+ patients. This signifies that the future medical providers of Karnataka are trending towards greater medical professionalism through viewing the patient holistically, where their LGBTQ+ status does not have a great effect on their quality of care
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The AI Dilemma: Exploring How Controlling Language in AI Policy Impacts Psychological Reactance and Conformity
This is a study that I conducted within my Research Methods II class. It is a two-part experimental study that investigated how the use of controlling language in university AI usage policies affects psychological reactance (resistance to perceived threats to freedom) and conformity (willingness to follow group norms). The research explored whether participants' perceptions and behavioral intentions changed depending on the tone of language (high vs. low control) and perceived peer agreement with the policy. Click here to read the research paper.
Overview​
These studies examined how controlling language and peer conformity shape reactions to AI policy. Across two experiments, policies written with high controlling language were consistently seen as extreme, threatening to freedom, and more likely to be ignored. While peer agreement had little direct effect, the combination of forceful language and low agreement amplified resistance, showing that wording matters more than conformity in shaping compliance with policy.
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Study One - Psychological Reactance and AI Policy Language
Background
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Based on Psychological Reactance Theory (PRT), people resist when they feel their freedom is threatened.
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Controlling language (“must”, “prohibited”) has been shown to increase resistance compared to autonomy-supportive or neutral wording.
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Goal: Test whether the way an AI policy is written (with high, low, or neutral controlling language) would affect students’ feelings of freedom, anger, and willingness to comply.
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Methods
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Participants: 120 undergraduates (majority Latino/a, mostly aged early 20s).
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Design: Random assignment to read one of three versions of a fictitious AI policy:
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High Controlling Language (HCL): strict wording (e.g., “must never use”).
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Low Controlling Language (LCL): softer wording (e.g., “discouraged”).
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Neutral Language (NCL): balanced wording (e.g., “inappropriate”).
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Measures: After reading, participants rated:
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Perceived freedom threat.
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Whether the language felt too extreme.
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Intentions to comply or ignore the policy.
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Results
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Manipulation check worked: Most participants recalled the wording as intended.
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Freedom Threat: HCL condition reported significantly greater threat to freedom than LCL or NCL.
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Language Extremity: HCL condition also rated the policy as much more extreme.
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LCL and NCL did not differ significantly.
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Discussion
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Strong, forceful language triggers psychological reactance, making students feel controlled.
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This aligns with prior findings (e.g., vaccine mandates, classroom syllabi).
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Takeaway: Even well-intentioned policies may backfire if worded too harshly.
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Study Two - Reactance and Conformity in AI Policy
Background
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Builds on Study One but adds conformity (the tendency to align with group norms).
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Past research shows people conform due to:
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Normative influence: desire for social approval.
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Informational influence: belief others have accurate knowledge.
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Goal: Examine whether peer agreement with the policy (high vs low) interacts with controlling language to influence compliance and freedom threat.
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Methods
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Participants: 134 undergraduates (majority Latino/a, mean age ~21.5).
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Design: 2 × 2 factorial design with:
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Language condition: HCL vs LCL.
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Agreement condition: told that 86% (high agreement) or 43% (low agreement) of peers supported the policy.
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Measures:
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Intention to ignore the AI policy.
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Perceived threat to freedom.
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Same Likert-style scales as Study One.
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Results
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Reactance main effect: Replicated Study One — HCL policies increased intentions to ignore the policy and increased perceptions of freedom threat.
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Agreement main effect: No significant differences between high vs low agreement overall.
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Interaction effect:
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For intention to ignore policy: no significant interaction.
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For freedom threat: significant interaction.
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HCL + Low Agreement → participants felt their freedom was most threatened.
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LCL + High Agreement → participants felt least threatened.
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Discussion
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Reactance dominates: Forceful language reliably increases resistance.
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Conformity weaker: Peer agreement by itself doesn’t strongly influence outcomes.
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Combined effect: Under certain conditions (HCL + low peer agreement), resistance peaks, suggesting that language choice and social context interact.
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Policy acceptance may depend more on intrinsic agreement than conformity, but conformity cues can magnify resistance when combined with harsh wording.
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General Discussion
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Controlling language consistently produces reactance → policies feel extreme and threatening, increasing likelihood of resistance.
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Conformity cues alone are less influential, but in certain combinations, they can amplify reactance.
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Practical takeaway: Policymakers, educators, and institutions should use autonomy-supportive or neutral language when regulating new technologies like AI. Doing so reduces pushback and improves compliance.


