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A Dynamic and Informative Intelligent Survey System Based on Knowledge Graph

  • Patrik Bansky
  • Elspeth Edelstein
  • Jeff Z. PanEmail author
  • Adam Wyner
Conference paper
  • 35 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12032)

Abstract

In the paper we propose a dynamic and informative solution to an intelligent survey system that is based on knowledge graph. To illustrate our proposal, we focus on ordering the questions of the questionnaire component by their acceptance, along with conditional triggers that further customise participants’ experience, making the system dynamic. Evaluation of the system shows that the dynamic component can be beneficial in terms of lowering the number of questions asked and improving the quality of data, allowing more informative data to be collected in a survey of equivalent length. Fine-grained analysis allows assessment of the interaction of specific variables, as well as of individual respondents rather than just global results. The paper explores and evaluates two algorithms for the presentation of survey questions, leading to additional insights about how to improve the system .

Keywords

Intelligent survey system Dynamic and informative system Linguistic grammaticality judgements 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Patrik Bansky
    • 1
  • Elspeth Edelstein
    • 2
  • Jeff Z. Pan
    • 1
    Email author
  • Adam Wyner
    • 3
  1. 1.Department of Computing ScienceUniversity of AberdeenAberdeenUK
  2. 2.School of Language, Literature, Music and Visual CultureUniversity of AberdeenAberdeenUK
  3. 3.School of Law and Department of Computer ScienceSwansea UniversitySwanseaUK

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