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Predictive Modeling for Persuasive Ambient Technology

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 noise-induced 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.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc804947
Date08 1900
CreatorsPowell, Jason W.
ContributorsSwigger, Kathleen M., Yuan, Xiaohui, Fu, Song, Chesky, Kris S.
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatxi, 160 pages : illustrations (chiefly color), Text
RightsPublic, Powell, Jason W., Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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