This research line focuses on the design of AI systems to communicate and interact with people as naturally as possible, including through natural language and image recognition. The AI system must be able to build layered human-like reasoning by observing and understanding the complex environment. This allows computers to independently identify and solve problems. Humans can work with their intelligence and physical abilities in harmony with complementary machines through intuitive and social interaction. This goal is still a long way off. But in many practical applications, such as recognizing patterns and generalizing individual tasks, AI already makes a very interesting contribution.
|Steven Latré||UAntwerpen - IDLab||Management team|
|Tom De Schepper||UAntwerpen - IDLab||Management team and WP5 Lead: Use Cases|
|Tinne Tuytelaars||KULeuven||WP1 Lead: Audio-visual Perception and Multimodal Representations|
|Walter Daelemans||UAntwerpen - CLiPS||WP2 Lead: Deep Learning-based Conversational Agents|
|Bart Goethals||UAntwerpen - ADREM||WP3 Lead: Interaction, Personalization and Recommendation|
|Geraint Wiggins||VUB||WP4 Lead: Cognitive Architectures & Human-like learning|
Multiple research groups collaborate on this research domain. The above table only mentions the contact person and his/her affiliation.