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Browsing by Author "Hammell, Abbey"

Now showing 1 - 4 of 4
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    Environmental Stewardship: Reducing Food Waste While Improving Food Security
    (Resilient Communities Project (RCP), University of Minnesota, 2019) Chapman, Tyler; Fleming, Katlyn; Graham, Linnea; Hammell, Abbey; Lupini, Matthew; Mack, Isaiah; Tillmann, Molly
    This project was completed as part of the 2018-2019 Resilient Communities Project (rcp.umn.edu) partnership with Ramsey County. In 2015, 12.7% of the population in Ramsey County did not have consistent access to enough food for an active and healthy life, or had limited or uncertain availability of nutritionally adequate food. At the same time, food remains the largest source of solid waste by weight in Ramsey County, accounting for 26% of the total trash collected for disposal each year. Ramsey County project lead Rae Eden Frank worked with students participating in the Economic Development Fellowship Consulting Program to investigate strategies for reducing food waste and diverting edible food to sources where it can be distributed for human consumption. The students’ final report and presentation, and a poster and project brief summarizing the project, are available.
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    Examining the Temporal Course of Over-generalized Conditioned Threat Expectancies in Posttraumatic Stress Disorder Using a Nonparametric Regression Model
    (2019-05) Hammell, Abbey
    One key conditioning abnormality in posttraumatic stress disorder (PTSD) is heightened generalization of fear from a conditioned danger-cue to similarly appearing, safe stimuli. Such over-generalization is often assumed to be a stable feature of PTSD, yet several lab-based conditioning findings suggest that over-generalization in PTSD can be reduced with sufficient learning trials. The present study represents the first effort to track the trial by trial timecourse of heightened generalization in PTSD with the prediction of heightened PTSD-related over-generalization in earlier trials that reduces toward the end of the learning record. Combat veterans with PTSD (n = 15), subthreshold PTSD (SubPTSD: n = 18) and trauma controls (TC: n = 19) completed a conditioned fear-generalization task. Trial by trial group differences in generalized perceived risk of electric shock were assessed to three classes of (safe) generalization stimuli parametrically varying in similarity to a conditioned danger-cue paired with electric shock. Data were analyzed using nonparametric regression. Results demonstrated those with PTSD and SubPTSD, relative to TC, displayed elevated generalization to all generalization stimuli combined, in early but not late learning trials. Over-generalization in PTSD and SubPTSD also persisted across trials to a greater extent for classes of generalization stimuli bearing higher resemblance to the conditioned danger-cue. Current findings support the use of prolonged courses of exposure therapy in PTSD that maximize violations of threat-related expectancies for safe stimulus-events resembling the traumatic encounter, especially as safe stimulus-events increase in similarity to trauma-related threat cues.
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    How Perceptions of Self-Efficacy Vary Between Physical and Mental Illnesses
    (2019) Cunningham, Allison; Hammell, Abbey; Lissek, Shmuel
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    Social Information in Written Standard Sentence Materials: Methods and Data
    (2021-11-02) Tripp, Alayo; Hammell, Abbey; Munson, Benjamin; munso005@umn.edu; Munson, Benjamin; University of Minnesota Department of Speech-Language-Hearing Sciences; University of Minnesota Liberal Arts Technology Innovation Services; University of Minnesota Center for Applied and Translational Sensory Sciences
    The Harvard/IEEE (henceforth H/I) sentences are widely used for testing speech recognition in English. This study examined whether two talker characteristics, race and gender, are conveyed by 80 of the H/I sentences in their written form, and by a comparison set of sentences from the internet message board Reddit, which were expected to convey social information. This archive includes the raw data from this paper, and the code used to generate the experiment in Qualtrics. The later of these was programmed by Abbey Hammell.