During the past few decades, there has been increasing attention to multimodal
adaptive language learning interface design. The purpose of this study was to examine
users’ experiences with a chatbot language learning interface through the lens of
cognitive emotions and emotions in learning. A particular focus of this study was on
users’ interactions with a chatbot in a public setting and in a private environment.
Focusing on the event of users’ interaction with a chatbot interface, seventy-five
interactions were videotaped in this study, in which fifteen users were asked to interact
with the chatbot “Lucy” for their language learning. The video-stimulated post interaction
interviews with participants provided complementary data for understanding their
experiences with the language learning system. Analysis of twenty-five interactions
selected from a total of seventy-five revealed five main factors of chatbot language tutor
interface design and their relative significance in the process of users’ meaning making
and knowledge construction. Findings showed that users’ sensory, emotional, cultural,
linguistic and relational engagement influenced their responses to the chatbot interface,
which in turn, shaped their learning processes. Building on a theoretical framework of
cognitive emotions and emotions in learning, this study documented users’ language
learning processes with the chatbot language learning interface by investigating users’
experiences. The findings and techniques resulting from this study will help designers
and researchers achieve a better understanding of users’ experiences with technology and
the role of emotions in the processes of learning when using technology and assist them
to improve the design of language learning environments.
Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU./2742 |
Date | 05 1900 |
Creators | Wang, Yifei |
Publisher | University of British Columbia |
Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
Language | English |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Format | 2400258 bytes, application/pdf |
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