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dc.contributor.advisorBalzhiser, Deborah A.
dc.contributor.authorParish, Lily A. ( )
dc.date.accessioned2022-05-16T15:51:00Z
dc.date.available2022-05-16T15:51:00Z
dc.date.issued2022-05
dc.identifier.citationParish, L. A. (2022). Empathy in conversational AI: Rhetorical analyses and recommendations (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/15779
dc.description.abstractThe aim of this analysis is to understand how empathy is utilized in the design process of conversational artificial intelligence and to gather recommendations influenced by empathy rhetoric to broaden the use and understanding of empathy in conversational AI. This is implemented by constructing four empathy rhetoric tenets to effectively provide a lens by which to examine six artifacts that represent a cross-section of discourse in human-computer interaction (HCI), specifically user experience (UX), and conversational AI. The results illustrate the rich possibilities in conversational AI for creating empathetic user experiences. Recommendations are gathered to serve as the foundation for a framework for empathy in conversational AI. The intention behind this work is that as technology becomes more human, conversational AI designers should be encouraged to understand the complexities of human qualities carefully and look to work from other disciplines such as rhetoric to provide a more nuanced understanding of qualities like empathy.
dc.formatText
dc.format.extent100 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.subjectAI
dc.subjectRhetoric
dc.subjectEmpathy
dc.titleEmpathy in Conversational AI: Rhetorical Analyses and Recommendations
txstate.documenttypeThesis
dc.contributor.committeeMemberLeake, Eric
dc.contributor.committeeMemberJackson, Rebecca
thesis.degree.departmentEnglish
thesis.degree.disciplineRhetoric and Composition
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
txstate.departmentEnglish
dc.description.departmentEnglish


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