An adaptive interactive agent for route advice
Proceedings of the third annual conference on Autonomous Agents
Unsupervised Learning and Interactive Jazz/Blues Improvisation
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Machine Learning for Adaptive User Interfaces
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
CAUI demonstration: composing music based on human feelings
Eighteenth national conference on Artificial intelligence
Acquisition of human feelings in music arrangement
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
CAUI demonstration: composing music based on human feelings
Eighteenth national conference on Artificial intelligence
Music compositional intelligence with an affective flavor
Proceedings of the 12th international conference on Intelligent user interfaces
Modelling affective-based music compositional intelligence with the aid of ANS analyses
Knowledge-Based Systems
Constructive Adaptive User Interfaces Based on Brain Waves
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
An emotion-driven musical piece generator for a constructive adaptive user interface
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
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We propose a method to locate relations and constraints between a music score and its impressions, by which we show that machine learning techniques may provide a powerful tool for composing music and analyzing human feelings. We examine its generality by modifying some arrangements to provide the subjects with a specified impression. This paper introduces some user interfaces, which are capable of predicting feelings and creating new objects based on seed structures, such as spectra and their transition for sounds that have been extracted and are perceived as favorable by the test subject.