User experience over time with conversational agents: case study of woebot on supporting subjective well-being

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2018
Demirci, Hatice Merve
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Technological advancements re-shaped user-product interactions by enabling people to make conversation with interactive systems. This new form of interaction led designers to create a new type of user interface: Conversational User Interface (CUI). Expensive psychological therapy fees and people’s increased awareness related to importance of well-being attracted the interactive system developers to create a domain specific Conversational Agent, which is particularly focusing on psychological terapy and has CUI. In order to maintain user engagement and sustain usage, design of such systems is important. However, existing design guidelines for Conversational Agents are limited and focus on business functions of these agents; however, conversational experience should be the main focus for designers to sustain user engagement and support people’s well-being. The aim of this research is to explore design qualities of Conversational Agent’s that focuses on enhancing people’s subjective well-being, to accomplish sustained usage and engagement with the conversational agent and propose guidance for designing such agents. For this purpose, interviews were conducted with users. Woebot, a Conversational Agent, which is designed for promoting people’s subjective well-being was selected as a case for the study and evaluated by 16 participants. The interpretations of the participants were obtained by semi- structured and in-depth interviews. Through analysing the results of the interviews, improvement suggestions are presented regarding system operations and functionality in terms of its attractiveness, perspicuity, effectiveness, stimulation, dependability, efficiency and novelty. Lastly, the study provides insights that would affect users’ engagement and overall experience
User interfaces (Computer systems)., Human-computer interaction., User-centered system design., Conversational user interface
http://etd.lib.metu.edu.tr/upload/12622742/index.pdf
https://hdl.handle.net/11511/27659
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
H. M. Demirci, “User experience over time with conversational agents: case study of woebot on supporting subjective well-being,” M.S. - Master of Science, Middle East Technical University, 2018.
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