Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human&Human and Human&Machine Interactions
Publication from Digital
Alessandro Vinciarelli and Anna Esposito and Elisabeth Andrä and Francesca Bonin and Mohamed Chetouani and Jeffrey F. Cohn and Marco Cristani and Ferdinand Fuhrmann and Elmer Gilmartin and Zakia Hammal and Dirk Heylen and Rene Kaiser and Maria Koutsombogera and Alexandros Potamianos and Steve Renals and Giuseppe Riccardi and Albert Ali Salah
Cognitive Computation , 1/2015
Modelling, analysis and synthesis of behaviour are the subject of major efforts in computing science, especially when it comes to technologies that make sense of human&human and human&machine interactions. This article outlines some of the most important issues that still
need to be addressed to ensure substantial progress in the field, namely (1) development and adoption of virtuous data collection and sharing practices, (2) shift in the focus of interest from individuals to dyads and groups, (3) endowment of artificial agents with internal
representations of users and context, (4) modelling of cognitive and semantic processes underlying social behaviour and (5) identification of application domains and strategies for moving from laboratory to the real-world products.