Norman1991
| Norman1991 | |
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| BibType | ARTICLE |
| Key | Norman1991 |
| Author(s) | Michael A. Norman, Peter J. Thomas |
| Title | Informing HCI Design through Conversation Analysis |
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| Tag(s) | EMCA, human-computer interaction, design |
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| Year | 1991 |
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| Journal | International Journal of Man-Machine Studies |
| Volume | 35 |
| Number | 2 |
| Pages | 235–250 |
| URL | Link |
| DOI | 10.1016/S0020-7373(05)80150-6 |
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Abstract
HCI encompasses a variety of disciplines to provide knowledge of the user and seeks to make this knowledge available to designers in a variety of practical ways. In seeking to enrich the multidisciplinary base of HCI, to provide designers with enhanced knowledge of the user and to facilitate interface design, the authors are currently exploring conversation analysis, a social-scientific approach to the investigation of interaction. Conversation analysis provides a methodology, a set of analytic constructs and a collection of established findings, about interaction which will prove important in the investigation and design of human-computer interaction in a way that transcends technological issues. The paper discusses issues concerned with the applicability of conversation analysis to HCI, and provides examples of studies carried out on a corpus of video-recorded human-computer interaction. These examples demonstrate that the findings of conversation analysis can inform the design of interactive systems, and that its methods may be used productively in the investigation of human-computer interaction.
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