Affective interfaces of embodied conversational agents: studies of hardware and character interfaces

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Copyright: Hsu, Yi-Chen
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Abstract
This research aims to investigate existing approaches to development and design guidelines of affective interfaces in relation to Embodied Conversational Agents (ECAs) from the perspective of technology, psychology and design. It also asks whether the affective influences of ECAs differ across the various devices used to display these characters. This research conducted two surveys to investigate the affective interactions between users and agents. The first hardware interface experiment explores the emotional influences of ECAs and user-agent relationships when ECAs are applied to computers and portable devices. The second character interface experiment studies the affective influences of ECAs on users in the learning tasks. The thesis asks whether there are significant experiential differences between ECAs when they are represented by different hardware interfaces and character classifications, such as emotional influences, character preference, user engagement and user-agent relationships. This research followed design guidelines that enabled the exploration of existing research and my own original experiments into the practical use of multi-agent in the context of a language learning website. I argue that the user is always at the centre of any ECA design, and therefore needs to be at the centre of any design process. The thesis discusses some concepts for developing agent interfaces with more positive affective influences for the completion of learning tasks. The main contributions of this research are summarised as follows: (1) the hardware interfaces of ECAs have a distinct relationship to the affective responses of users, including emotional influences and user-agent relationships, (2) character classifications can be related to human affective factors, such as character preference, user engagement and user-agent relationships, and (3) there are significant relations that need to be accounted for among character preference, engagement and user-agent relationships.
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Author(s)
Hsu, Yi-Chen
Supervisor(s)
Harley, Ross
Xu, Fang
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Publication Year
2011
Resource Type
Thesis
Degree Type
PhD Doctorate
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