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Towards Resistance Detection in Health Behavior Change Dialogue Systems

One of the challenges fairly common in motivational interviewing is patient resistance to health behavior change. Hence, automated dialog systems aimed at counseling patients need to be capable of detecting resistance and appropriately altering dialog. This thesis focusses primarily on the development of such a system for automatic identification of patient resistance to behavioral change. This enables the dialogue system to direct the discourse towards a more agreeable ground and helping the patient overcome the obstacles in his or her way to change. This thesis also proposes a dialogue system framework for health behavior change via natural language analysis and generation. The proposed framework facilitates automated motivational interviewing from clinical psychology and involves three broad stages: rapport building and health topic identification, assessment of the patient’s opinion about making a change, and developing a plan. Using this framework patients can be encouraged to reflect on the options available and choose the best for a healthier life.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc804981
Date08 1900
CreatorsSarma, Bandita
ContributorsNielsen, Rodney D., Tarau, Paul, Blanco, Eduardo
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatvii, 62 pages : illustrations (some color), Text
RightsPublic, Sarma, Bandita, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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