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.
|Title of host publication||Joint International Semantic Technology Conference|
|Number of pages||16|
|Publication status||Accepted/In press - 22 Oct 2019|
|Event||The 9th Joint International Semantic Technology Conference - Hangzhou, China|
Duration: 25 Nov 2019 → 27 Nov 2019
|Conference||The 9th Joint International Semantic Technology Conference|
|Period||25/11/19 → 27/11/19|
- Intelligent survey system
- dynamic and informative system
- Linguistic grammaticality judgements
Bansky, P., Edelstein, E. C., Pan, J. Z., & Wyner, A. (Accepted/In press). A Dynamic and Informative Intelligent Survey System based on Knowledge Graph. In Joint International Semantic Technology Conference Springer .