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Communicating Emotions to Virtual Agents: An Emoticon-Based Approach
Abstract
With the development of artificial intelligence technologies, there has arrived
a possibility to have natural language conversation with three-dimensional,
real-time animated virtual agents. Text based natural language conversation,
however, suffers from lack of non-verbal communication channels. The capability
of virtual agents to understand emotions in natural language conversation would
enhance their believability. In otherwork, face recognition techniques have been
tried to convey emotions from humans to virtual agents. This research focuses on
using emoticons to communicate emotions in human-computer interaction. The
use of emoticons has an advantage that it requires no external hardware devices.
Emoticons can be used as a added communication channel augmenting natural
language input in human computer interaction. A prototype has been developed
which consists of a virtual character with natural conversation and appropriate
facial expression abilities. The natural language understanding capabilites
were extended to allow for the use of emotions when talking to the agent. A
group of users was asked to interact with the character and asked to submit a
feedback pertaining to certain questions. The analysis of the feedback suggests
that conversational agents having emotions in them will significantly improve the
interaction and believability.
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