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Physical appearance is an important communication tool that involves the way people define themselves and others around them. Clothing is a major component of physical appearance. When people can understand how different clothing styles flatter their specific body shapes, they can use clothing as a means to manipulate their physical

Physical appearance is an important communication tool that involves the way people define themselves and others around them. Clothing is a major component of physical appearance. When people can understand how different clothing styles flatter their specific body shapes, they can use clothing as a means to manipulate their physical appearances. In this way, people can choose deliberate clothing to send out purposeful visual messages that align with their goals and interests. Understanding how clothing affects visual appearance can be a very complicated task (Ilnitsky, 2018; Nix-Rice, 2014). There should be a simple and way for people to pick clothes that will specifically look good on their body. The purpose of this current study is to introduce a new method of online shopping that collects users’ body dimensions and shows them clothing that will flatter their particular body shape. The following study proposes a prototype design for such a shopping experience.

ContributorsBartolomea, Hannah Elyse (Author) / Johnson-Glenberg, Mina (Thesis director) / Prewitt, Deborah (Committee member) / Tinapple, David (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Although many data visualization diagrams can be made accessible for individuals who are blind or visually impaired, they often do not present the information in a way that intuitively allows readers to easily discern patterns in the data. In particular, accessible node graphs tend to use speech to describe the

Although many data visualization diagrams can be made accessible for individuals who are blind or visually impaired, they often do not present the information in a way that intuitively allows readers to easily discern patterns in the data. In particular, accessible node graphs tend to use speech to describe the transitions between nodes. While the speech is easy to understand, readers can be overwhelmed by too much speech and may not be able to discern any structural patterns which occur in the graphs. Considering these limitations, this research seeks to find ways to better present transitions in node graphs.

This study aims to gain knowledge on how sequence patterns in node graphs can be perceived through speech and nonspeech audio. Users listened to short audio clips describing a sequence of transitions occurring in a node graph. User study results were evaluated based on accuracy and user feedback. Five common techniques were identified through the study, and the results will be used to help design a node graph tool to improve accessibility of node graph creation and exploration for individuals that are blind or visually impaired.
ContributorsDarmawaskita, Nicole (Author) / McDaniel, Troy (Thesis director) / Duarte, Bryan (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-12