1994
DOI: 10.1145/176789.176803
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The role of emotion in believable agents

Abstract: Arti cial intelligence researchers attempting to create engaging, apparently living creatures may nd important insight i n t h e w ork of artists who have explored the idea of believable character. In particular, appropriately timed and clearly expressed emotion is a central requirement for believable characters. We discuss these ideas and suggest how they may apply to believable interactive c haracters, which w e call \believable agents."

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Cited by 826 publications
(397 citation statements)
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“…In this sense, Bates [73] argues that these perceptions of emotions are a key element in creating the illusion of social character. The term 'socialness' has been used to describe the phenomenon of users treating technology or technology interfaces as social actors; that is, the user perceives that the interface exhibits life-like attributes associated with personality or emotion.…”
Section: Agarwal and Prasadmentioning
confidence: 99%
“…In this sense, Bates [73] argues that these perceptions of emotions are a key element in creating the illusion of social character. The term 'socialness' has been used to describe the phenomenon of users treating technology or technology interfaces as social actors; that is, the user perceives that the interface exhibits life-like attributes associated with personality or emotion.…”
Section: Agarwal and Prasadmentioning
confidence: 99%
“…ECAs must be believable or credible; the most general of these terms is used to describe anything we accept as true, even in the absence of absolute proof. As stated by Bates [9], believability includes the appearance of reactivity, goals, situated social competence and emotions. In this regard, believable ECAs need both rational and emotional skills in order to exhibit a coherent and natural behaviour.…”
Section: In the Beginning …mentioning
confidence: 99%
“…Intermediate cases may, as pointed out in (Bates, 1994), use architectures that are "broad" in that they encompass many functions, but "shallow" in that the individual components are not realistic. Exploring broad and initially shallow, followed by increasingly deep implementations, may be a good way to understand the general issues.…”
Section: Different Architectures Support Different Ontologiesmentioning
confidence: 99%