Posted in CFP, tagged ECAI, ExaCt 2010, explanation on January 20, 2010|
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Call for Papers
for the 5th International and
ECAI Workshop 2010 on
Explanation-aware Computing
ExaCt 2010
16-17 August, 2010, Lisbon, Portugal
Conference website: http://exact2010.workshop.hm/
Both within AI systems and in interactive systems, the ability to explain reasoning processes and results can substantially affect system usability. For example, in recommender systems good explanations may help to inspire user trust and loyalty, increase satisfaction, make it quicker and easier for users to find what they want, and persuade them to try or buy a recommended item.
Current interest in mixed-initiative systems provides a new context in which explanation issues may play a crucial role. When knowledge-based systems are partners in an interactive socio-technical process, with incomplete and changing problem descriptions, communication between human and software systems is a central part. Explanations exchanged between human agents and software agents may play an important role in mixed-initiative problem solving.
Other disciplines such as cognitive science, linguistics, philosophy of science, psychology, and education have investigated explanation as well. They consider varying aspects, making it clear that there are many different views of the nature of explanation and facets of explanation to explore. Within the field of knowledge-based systems, explanations have been considered as an important link between humans and machines. There, their main purpose has been to increase the confidence of the user in the system’s result, by providing evidence of how it was derived. Additional AI research has focused on how computer systems can themselves use explanations, for example to guide learning.
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