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Social Interaction with a Conversational Agent: An Exploratory Study
Abstract
Computer generated conversational agents which exhibit many quality of a human have become one effective way business uses to communicate with online users in order to provide products or services, such as guiding online order process or searching the web. Education and gaming industry also may benefit from this type of human-like communication. In that environment users may be presented with a text display, photo of a real person, or a cartoon drawing and so on. This article reviews five randomly selected conversations that an animated cartoon conversational agent has with web users. The behavior of the agent is designed to simulate human gestures, but they are stylized to reflect animation principles. The objective of the authors is to use this study as feedback mechanism that will improve the functionality of the conversational agent, define future research, and learn from previous errors. The results of the study suggest improving the flexibility of the conversational agent, and reducing repetitions in the interaction.
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