DRUM - Digital Repository at the University of Maryland

DRUM collects, preserves, and provides public access to the scholarly output of the university. Faculty and researchers can upload research products for rapid dissemination, global visibility and impact, and long-term preservation.

Submit to DRUM

Submit to DRUM

To submit an item to DRUM, login using your UMD credentials. Then select the "Submit Item to DRUM" link in the navigation bar. View DRUM policies and submission guidelines.
Equitable Access Policy

Equitable Access Policy

The University of Maryland Equitable Access Policy provides equitable, open access to the University's research and scholarship. Faculty can learn more about what is covered by the policy and how to deposit on the policy website.
Theses and Dissertations

Theses and Dissertations

DRUM includes all UMD theses and dissertations from 2003 forward.

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UM Community-managed Collections

Recent Submissions

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    Targeted Messaging: Recruitment Strategy Toolkit
    (2025-11) Peters, Carson J.
    The infographic explores how targeted messaging through communication and advertisements is a recruitment strategy. Specifically, the utilization of targeted advertisements leverages personalization on social media platforms.
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    Community Academic Partnerships: Recruitment Strategy Toolkit
    (2025-11) Peters, Carson J.
    The infographic explores Community Academic Partnerships, including the underpinnings to practice authentic engagement and key components of Community Academic Partnerships as a recruitment strategy.
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    Age-related temporal processing deficits: The relationship between gap detection and temporal cue discrimination
    (2025-11-06) Reyes, Vanessa; Goupell, Matthew; Tinnemore, Anna; Doyle, Erin; Anderson, Samira
    Temporal processing abilities are crucial for encoding auditory information. These abilities decline with age, particularly impacting the ability to perceive brief temporal cues. Furthermore, age-related temporal processing deficits appear to be particularly detrimental for speech processing with degraded auditory input, such as that experienced by cochlear-implant users. The goal of this study was to investigate how aging affects performance on different auditory temporal processing tasks in individuals with normal hearing presented simulated electric hearing. First, we hypothesized that reducing spectral information and increasing temporal complexity in a sound would negatively impact temporal processing, with older listeners showing greater deficits. The listeners completed a gap detection task with four stimuli varying in temporal complexity and spectral information. Gap detection thresholds were influenced by both spectral and temporal characteristics of the stimuli, as well as by the listeners’ age although no significant interaction between condition and age group were observed. Second, we hypothesized that reducing spectral information would affect listeners’ ability to discriminate between temporal speech cues, with older listeners showing more difficulty. Listeners completed a temporal cue discrimination task where they identified differences in silent interval durations using the word pair “Dish” and “Ditch” presented on a 7-step continuum, ranging from 0-60 ms of silence. Stimuli were presented in both unprocessed and vocoded conditions. Slope values of the psychometric functions for the vocoded stimuli were shallower compared to unprocessed speech, demonstrating that reduced spectral information made the task more difficult and increased reliance on temporal cues. In addition, no significant effects of age group across conditions were observed, suggesting that age did not impact performance on the temporal cue categorization task. Finally, we hypothesized that the individual variability in speech discrimination performance would correlate with gap detection thresholds. No significant correlations were found between performance on gap detection and temporal cue discrimination tasks, suggesting that these tasks may rely on different auditory, linguistic, or cognitive mechanisms. Overall, these findings highlight the importance of temporal processing for understanding speech with degraded spectral input and raise important considerations for older cochlear-implant users. Addressing temporal processing deficits through improvements in device programming may help audiologists enhance speech perception and listening experiences for individuals with cochlear implants.
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    Understanding and Evaluating AI Research Discovery Tools
    (2025-10-28) Baxter, Isabella