Dissertation/Thesis Abstract

Predictive modeling for persuasive ambient technology
by Powell, Jason W., Ph.D., University of North Texas, 2015, 173; 10034370
Abstract (Summary)

Computer scientists are increasingly aware of the power of ubiquitous computing systems that can display information in and about the user's environment. One sub category of ubiquitous computing is persuasive ambient information systems that involve an informative display transitioning between the periphery and center of attention. The goal of this ambient technology is to produce a behavior change, implying that a display must be informative, unobtrusive, and persuasive. While a significant body of research exists on ambient technology, previous research has not fully explored the different measures to identify behavior change, evaluation techniques for linking design characteristics to visual effectiveness, nor the use of short-term goals to affect long-term behavior change. This study uses the unique context of noisedinduced hearing loss (NIHL) among collegiate musicians to explore these issues through developing the MIHL Reduction Feedback System that collects real-time data, translates it into visuals for music classrooms, provides predictive outcomes for goalsetting persuasion, and provides statistical measures of behavior change.

Indexing (document details)
Advisor:
Commitee:
School: University of North Texas
Department: Computer Science and Engineering
School Location: United States -- Texas
Source: DAI-B 77/08(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Audiology, Behavioral psychology, Computer science
Keywords: Data analysis, Data mining, HCI, Human-computer interaction, Noise induced hearing loss, Time series
Publication Number: 10034370
ISBN: 9781339536668
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