Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/14145
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dc.titleELVA: Conversational agent in an interactive virtual world
dc.contributor.authorYUAN XIANG
dc.date.accessioned2010-04-08T10:40:18Z
dc.date.available2010-04-08T10:40:18Z
dc.date.issued2004-07-20
dc.identifier.citationYUAN XIANG (2004-07-20). ELVA: Conversational agent in an interactive virtual world. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/14145
dc.description.abstractThe technology of Embodied Conversational Agents (ECAs) offers great promise for natural and realistic human-computer interaction. The interaction design in this domain needs to be handled sensitively in order for verbal and nonverbal signals conveyed by the agent to be understood by human users. This thesis describes an integrative approach for building an ECA that is able to engage conversationally with human users, and that is capable of behaving according to social norms in terms of facial display and gestures. The research focuses on the attributes of the agenta??s autonomy and believability. To achieve autonomy, we present a three-layered architectural design to ensure appropriate coupling between the agenta??s perception and action, and to hide the internal mechanism from users. In regard to agent believability, we utilize the notion of a??schemaa?? to support structured and coherent verbal behaviors. We also present our approaches to generate and coordinate the agenta??s nonverbal behaviors, so as to establish social interactions within a virtual world.Using the above approach, we developed Elva, an embodied tour guide that inhabits an interactive art gallery to offer guidance to human users. A user study was performed to assess user satisfaction and agent believability when interacting with Elva. Future work will address the area of affective computing to achieve greater believability.
dc.language.isoen
dc.subjectembodied conversational agent, autonomy, believability, virtual world, interaction
dc.typeThesis
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.supervisorCHEE YAM SAN
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE
dc.identifier.isiutNOT_IN_WOS
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