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Adaptive medical information delivery combining user, task and situation models
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 5th international conference on Intelligent user interfaces table of contents
New Orleans, Louisiana, United States
Pages: 94 - 97  
Year of Publication: 2000
ISBN:1-58113-134-8
Authors
Luis Francisco-Revilla  Department of Computer Science, Texas A&M University, College Station, TX
Frank M. Shipman, III  Department of Computer Science, Texas A&M University, College Station, TX
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 30,   Citation Count: 6
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ABSTRACT

Medical information delivery for users with different levels of expertise will be required for the manned mission to Mars due to limited potential for communication with Earth. The Mars Medical Assistant (MMA) uses a combination of user, situation, and task models to create virtual hypertext structures by piecing together medical “information components.” Information components are chosen based on the semantic content and the cognitive characteristics of the component's media type. The medical assistant currently supports three tasks: 1) describing medical procedures, 2) aiding diagnosis, and 3) providing information on health concerns. Conflicting suggestions from the three models need to be resolved. Tradeoffs in the model representations and conflict resolution strategies are being explored in the context of MMA.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Rich, E. Stereotypes and User Modeling, in Kobsa, A. and Wahlster. W., (Eds.) User Models in Dialog Systems, pp. 35-51, Springer-Verlag, New York, 1989.
 
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Collaborative Colleagues:
Luis Francisco-Revilla: colleagues
Frank M. Shipman, III: colleagues