A new model for multivariate functional data classification with application to the prediction of difficulty in web surveys using mouse movement trajectories

• Amanda Fernández Fontelo ; Felix Henninger ^[1] ; Pascal J. Kieslich ^[1] ; Frauke Kreuter ; Sonja Greven
  1. [1] University of Mannheim

     University of Mannheim

     Stadtkreis Mannheim, Alemania

     
• Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoyen Garbizu (ed. lit.) , Dae-Jin Lee (ed. lit.) , Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 73-78
• Idioma: inglés
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• Resumen

  • A semi-metric-based model for multivariate functional data classification is presented and used to improve difficulty prediction in web surveys with mouse movement trajectories.