Files in this item

FilesDescriptionFormat

application/pdf

application/pdfJohn_Lee.pdf (2MB)
(no description provided)PDF

Description

Title:Engineering of Notables
Author(s):Lee, John
Advisor(s):Karahalios, Karrie G.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Interactive Visualization
Behavioral Visualization
Abstract:We introduce Notables, an interactive online webtool designed to support visualizations that highlight a person’s social and communicative behavior. We represent behavior through a visualization called Plexlines, which use color coded circles—categorized into gaze, gesture, and speech—laid out along a timeline. Plexlines are stored in Notables, which allows users to compare and contrast multiple visualizations, highlight specific behaviors, and explore the visualization with video support. We use child behavioral data to demonstrate the effectiveness of Notables. To date, existing child behavioral data are often stored in raw text files or as spreadsheets, making it difficult to spot patterns and outliers. By transforming textual data into graphical visualizations, and by leveraging the interactive features of the Notables, users are able to make comparisons and interpretations at a glance. Our tool highlights gaze, gesture, and speech, which are all important developmental indicators for a young child. When clinicians and researchers were presented with Notables, each participant formed their own strategy for exploring the visualizations, making comparisons, and identifying outliers. Feedback suggests that Notables has potential as a tool for communicating developmental concerns to parents, training tool for clinicians, and pre-screening for autism.
Issue Date:2014-09-16
URI:http://hdl.handle.net/2142/50490
Rights Information:Copyright 2014 John Lee
Date Available in IDEALS:2014-09-16
2016-09-22
Date Deposited:2014-08


This item appears in the following Collection(s)

Item Statistics