An Exploratory Study on Conversational Agents Using Dynamic Conversation Styles

Bachelor thesis (2021)

Authors

B. Lerer Electrical Engineering, Mathematics and Computer Science

Contributors

S. Qiu Web Information Systems - EEMCS (supervisor 1)
Ujwal Gadiraju Web Information Systems - EEMCS (supervisor 1)
J. Yang Web Information Systems - EEMCS (supervisor 1)
J.W. Böhmer Algorithmics - EEMCS (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Bar Lerer
Chatbot Conversational Agent HCI Conversation Style
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Published Date

02-07-2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This study aims to examine the effect of dynamically aligning the conversation style to the user’s preference in a conversational agent environment. We suggest a technique to identify the user’s preferred conversation style, by scoring statements based on their writing style. We designed a within-subject experiment intended to measure the user engagement and satisfaction (with style alignment × without style alignment). We found an increase in self reported satisfaction ratings and reflect on how familiarity with the entity behind the chatbot may affect the preference of the conversational style. We finish this study with concrete suggestions to designers and developers of future chatbots and how should the alignment of conversation style be assigned and adapted