Human-Machine Reconfigurations: Plans and Situated Actions, by Lucy Suchman

By Lucy Suchman

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Extra info for Human-Machine Reconfigurations: Plans and Situated Actions, 2nd Edition

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In contrast, I argue that artifacts built on the planning model confuse plans with situated actions and recommend instead a view of plans as formulations of antecedent conditions and consequences of action that account for action in a plausible way. Stated in advance plans are necessarily vague, insofar as they are designed to accommodate the unforeseeable contingencies of actual situations of action. 5 Specifically, if we are interested in situated action itself we need to look at how it is that actors use the resources that a particular occasion provides (including, but crucially not reducible to, formulations such as plans) to construct their action’s developing purpose and intelligibility.

In this strong sense, I would argue, we have yet to realize the creation of an interactive machine. At the same time, given recent demonstrations within science and technology studies and the media arts of the many ways in which things do participate with us, I now emphasize the proposition that they must be allowed to do so in their own particular ways. Initial observations suggest that a more productive metaphor than conversation to describe our relations with computational artifacts may be that of writing and reading (see Grint and Woolgar 1997: 70; Chapter 11).

On the other hand, to understand the mutual intelligibility of action as a mundane, practical accomplishment of members of the society is, in large measure, the social scientist’s problem or subject matter. An account of that accomplishment would constitute an account of the foundation of social order. 1 Already, the notion of “human–machine interaction” pervades both technical and popular discussion of computers, whether about their design or their use. In the debate over specific problems in the design and use of interactive machines, however, no question is 1 Although meant to set up the contrast with machines, this statement regrettably ignores the long-standing and still lively field of ethology (see, for example, Crist 2000, 2004).

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