Abstract.A growing number of research projects in academia and industry have recently started to develop lifelike agents as a new metaphor for highly personalised human-machine communication. A strong argument in favour of using such characters in the interface is the fact that they make humancomputer interaction more enjoyable and allow for communication styles common in human-human dialogue. Our earlier work in this area has concentrated on the development of animated presenters that show, explain, and verbally comment textual and graphical output on a window-based interface. Even though first empirical studies have been very encouraging and revealed a strong affective impact of our Personas [23], they also suggest that simply embodying an interface agent is insufficient. To come across as believable, an agent needs to incorporate a deeper model of personality and emotions, and in particular directly connect these two concepts.
Die vorliegende Arbeit wurde im Rahmen des Verbundvorhabens Verbmobil vom Bundesministerium f ur Bildung, Wissenschaft, Forschung und Technologie (BMBF) unter dem F orderkennzeichen 01IV101K/1 gef ordert. Die Verantwortung f ur den Inhalt dieser Arbeit liegt bei dem Autor.
Embodied conversational agents provide a promising option for presenting information to users. This contribution revisits a number of past and ongoing systems with animated characters that have been developed at DFKI. While in all systems the purpose of using characters is to convey information to the user, there are significant variations in the style of presentation and the assumed conversational setting. The spectrum of systems include systems that feature a single, TV-style presentation agent, dialogue systems, as well as systems that deploy multiple interactive characters. We also provide a technical view on these systems and sketch the underlying system architectures of each sample system.
Stefan (2008). Fully generated scripted dialogue for embodied agents. Artificial Intelligence, 172(10) pp. 1219-1244. For guidance on citations see FAQs.
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