Predicting response uncertainty in online surveys: A proof of concept

Maria Camila Dias, Cátia Cepeda, Dina Rindlisbacher, Edouard Battegay, Marcus Cheetham, Hugo Gamboa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online questionnaire-based research is growing at a fast pace. Mouse-tracking methods provide a potentially important data source for this research by enabling the capture of respondents' online behaviour while answering questionnaire items. This behaviour can give insight into respondents' perceptual, cognitive and affective processes. The present work focused on the potential use of mouse movements to indicate uncertainty when answering questionnaire items and used machine learning methods as a basis to model these. N=79 participants completed an online questionnaire while mouse data was tracked. Mouse movement features were extracted and selected for model training and testing. Using logistic regression and k-fold cross-validation, the model achieved an estimated performance accuracy of 89%. The findings show that uncertainty is indicated by an increase in the number of horizontal direction inversions and the distance covered by the mouse and by longer interaction times with and a higher number of revisits to questionnaire items that evoked uncertainty. Future work should validate these methods further.

Original languageEnglish
Title of host publicationBIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
EditorsFelix Putze, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages155-162
Number of pages8
ISBN (Electronic)9789897583537
Publication statusPublished - 1 Jan 2019
Event12th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019 - Prague, Czech Republic
Duration: 22 Feb 201924 Feb 2019

Conference

Conference12th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
CountryCzech Republic
CityPrague
Period22/02/1924/02/19

Keywords

  • Human-computer interaction
  • Machine learning
  • Mouse-tracking
  • Questionnaire
  • Signal processing
  • Uncertainty

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  • Cite this

    Dias, M. C., Cepeda, C., Rindlisbacher, D., Battegay, E., Cheetham, M., & Gamboa, H. (2019). Predicting response uncertainty in online surveys: A proof of concept. In F. Putze, A. Fred, & H. Gamboa (Eds.), BIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019 (pp. 155-162). SciTePress.