Psychology Commons^™

The Effects Of Social Media On Mental Health: A Proposed Study, Grant Sean Bossard

Senior Projects Fall 2020

Abstract

There are about 3.8 billion social media users around the world (How Many People…, 2020). How does social media use affect the mental health of its users? Excessive social media use has the potential to increase vulnerability to the development of psychological disorders, specifically increasing psychological distress, decreasing self-esteem, and increasing depressive symptoms. With social media use on the rise among people of all ages, it is important to understand the potential adverse effects so that usage guidelines and interventions can be developed. This is a proposed study to determine what the effects of using Instagram, Facebook, or no …

The Differences In Visuospatial Attentional Distribution Between Synesthetes And Non-Synesthetes, Identified Through Covert Visual Search, Kirsten Helena Ostbirk

Senior Projects Fall 2020

Synesthesia is a condition whereby sensory stimuli evoke unusual additional sensory perceptions and experiences, and can be identified through a visual search task. Grapheme-colour synesthetes have shown increased efficiency in visual search tasks, which some have hypothesized is a result of synesthetic colours drawing attention to the target stimulus, and have likened it to a weakened “pop-out” effect. Visual search has also been used to measure visuospatial attentional distribution, and findings from this method have supported the gradient model of attention, which proposes that cognitive resources are the most concentrated centrally in our visual field, and taper off, such that …

A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos

Senior Projects Fall 2020

Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create aurally …