A language/action perspective on the design of cooperative work
Human-Computer Interaction
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It is proposed in this paper that interactions relating to cooperative problem-seeking can be seen as revolving around a cooperative problemseeking dialogue model of 'find-predict-explain-refine'. We describe Meta-Muse, a pedagogical agent that was designed to 'structure interactions' and hence facilitate problem-seeking dialogues. The paper describes results from a detailed analysis of the transcribed corpus of the interactions that took place between cooperating students when engaged with MetaMuse. The main empirical results were an elaboration of our cooperative problem-seeking dialogue model and some general results. The paper concludes with a brief discussion of how our empirical findings can be generalized to a re-implementation of MetaMuse.