adaPtive Artificial iNtelligence fOR humAn coMputer interAction
PANORAMA aims to accomplish the following five research goals. (1) propose a user adaptive multimodal annotation tool based on XAI techniques, (2) exploit this tool to collect annotated multimodal corpora in three countries (France, Germany, and Japan), (3) propose models and methods for developing conversational agents with multi-level adaptation functionality, where nonverbal signals of the agent as well as the content of the dialogue are adapted to the user, (4) provide multitask learning and transfer learning techniques to learn models using the multi-cultural corpus obtained in (2) and adapt the conversational agent to each culture, and (5) propose the design basis of adaptive AI systems grounded in psychological theories and evaluation studies.
Jean-Claude Martin; CNRS-LIMSI -
Elisabeth André; Universität Augsburg, Institut für Angewandte Informatik -
Yukiko Nakano; Seikei University, Dept. of Computer and Information Science