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Plans and situated actions: the problem of human-machine communication
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Sorting things out: classification and its consequences
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Computer Supported Cooperative Work
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Collaborative problem solving often involves actors with heterogeneous competences or that see a common problem from different perspectives: this can make mutual understanding difficult. The paper presents case studies in different domains where collaboration leverages shared representations, and discusses the main reasons why these representations succeeded in fostering mutual understanding. We observed how the technologies proposed to manage those representations were successful only to the extent they were made able to adapt to the dynamic and open conventions that actors adopted during their activities. The point of the paper is that locality, openness and underspecification are key factors in this process, for their capability to promote tacit knowledge and to let competent actors reach a sufficient level of mutual understanding towards some common goal. The paper proposes a conceptual framework to characterize the notion of knowledge artifact interpreted as a semiotic system where actors can make sense of shared and underspecified representations, and derives from this notion implications for the design of a supportive technology.