caa a22 4500 475834070 CHVBK 20180406123849.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1007/s005210070002 doi (NATIONALLICENCE)springer-10.1007/s005210070002 Yasdi R. German National Research Centre for Information Technology, Institute for Human Computer Interaction, Sankt Augustin, Germany, DE aut A Literature Survey on Applications of Neural Networks for Human-Computer Interaction [Elektronische Daten] [R. Yasdi] This article presents an overview of the neural networks approach to user modelling and intelligent interface. We analyse and discuss activities in user modelling and intelligent interface. Activities of various neural networks models are introduced to illustrate how user modelling problems can be solved by neural networks. The practical utility of neural networks in supporting user modelling and intelligent interface is demonstrated by reviewing a selection of neural networks developed in this area. Structured summaries are provided for comparative purpose.: Springer-Verlag London Limited, 2000 Keywords: Adaptive user modelling nationallicence Human—Computer interaction nationallicence Intelligent interface nationallicence Machine learning nationallicence User modelling nationallicence https://doi.org/10.1007/s005210070002 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070002 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Yasdi R. German National Research Centre for Information Technology, Institute for Human Computer Interaction, Sankt Augustin, Germany, DE aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer