Abstract
Providing support systems with more knowledge about tasks, users and the system itself should enable computers to better support their users. The key principle is that computers should assist and not automate. Three factors distinguish Assisting Computers (AC) from previous systems:
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Assistance properties: AC’s should be able to interpret imprecise instructions on the basis of current and previous contexts, they should be adaptable to their user’s individual needs and personal style, and they should be able to explain their behavior and functionality when desired.
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Domain competence: AC’s should possess knowledge about selected application domains, including problem solving knowledge in the domain; they should be able to assess their competence.
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Support of cooperation: AC’s should support not only the work of individuals, but also work within teams and organizations.
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Notes
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MOBAL is part of the MLT (Machine Learnig Toolbox) research project, partially funded by the Comission of the European Communities under ESPRIT project number P 2154.
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The graphics designer is developed within the project TASSO (Technical Assisting System for Processing Inexact Knowledge) partly supported by the German Federal Ministery for Research and Technology under grant number ITW 8900 A7.
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The research reported here was carried out in the course of the REFLECT project. This project is partially funded by the ESPRIT Basic Research Programme of the Commission of the European Communities as project number 3178.
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The research about adaptivity and adaptability of systems is carried out within the SAGA project, which is partially funded by the German Federal Ministery for Research and Technology under number 01HK5370.
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The research reported here is carried out in the project TASSO (Technical Assisting System for Processing Inexact Knowledge) partially funded by the German Federal Ministery for Research and Technology under number ITW 8900 A7.
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Research on natural language explanation components is partially funded by Northrhine-Westphalia’s joint research programme “Applications of Artificial Intelligence” (Project DIAMOD).
Work on the activity assistant is partially funded by the Commission of the European Communities in the ESPRIT project EuroCoOp (grant number 5303).
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This paper reports only on a selection of results. A complete list of publications to date in the Assisting Computer project can be requested from GMD, Institute for Applied Information Technology (F3), Sankt Augustin.
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Hoschka, P. (1991). Assisting Computer — A New Generation of Support Systems. In: Brauer, W., Hernández, D. (eds) Verteilte Künstliche Intelligenz und kooperatives Arbeiten. Informatik-Fachberichte, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76980-1_20
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