Christoph Wimmer, Stefan Biegler, Johannes Harms, Karin Kappel, T. Grechenig
{"title":"SQT: A tool for the automated measurement of respondent behaviour and response quality in health-related gamified online surveys","authors":"Christoph Wimmer, Stefan Biegler, Johannes Harms, Karin Kappel, T. Grechenig","doi":"10.1109/SeGAH.2018.8401377","DOIUrl":null,"url":null,"abstract":"This paper addresses the necessity of taking detailed and accurate measures of respondent behaviour generally in health-related online surveys, and particularly in gamified variants of these surveys. Its specific contribution is the requirements analysis and implementation of an open-source survey quality tool (SQT) which automates the detection of negative respondent behaviour. The tool can be used in health and wellbeing research to evaluate the quality of responses in online surveys, as well as for researching the impact of survey gamification.","PeriodicalId":299252,"journal":{"name":"2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SeGAH.2018.8401377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper addresses the necessity of taking detailed and accurate measures of respondent behaviour generally in health-related online surveys, and particularly in gamified variants of these surveys. Its specific contribution is the requirements analysis and implementation of an open-source survey quality tool (SQT) which automates the detection of negative respondent behaviour. The tool can be used in health and wellbeing research to evaluate the quality of responses in online surveys, as well as for researching the impact of survey gamification.