Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey

Web surveys are very popular in the Internet space. Web surveys are widely incorporated for gathering customer opinion about Internet services, for sociological and psychological research, and as part of the knowledge testing systems in electronic learning. When conducting web surveys, one of the is...

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Autores principales: Evgeny Nikulchev, Alexander Gusev, Dmitry Ilin, Nurziya Gazanova, Sergey Malykh
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/e7a5810f54d3459a8a10e4c6d86f4565
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spelling oai:doaj.org-article:e7a5810f54d3459a8a10e4c6d86f45652021-11-25T16:43:09ZEvaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey10.3390/app1122110342076-3417https://doaj.org/article/e7a5810f54d3459a8a10e4c6d86f45652021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11034https://doaj.org/toc/2076-3417Web surveys are very popular in the Internet space. Web surveys are widely incorporated for gathering customer opinion about Internet services, for sociological and psychological research, and as part of the knowledge testing systems in electronic learning. When conducting web surveys, one of the issues to consider is the respondents’ authenticity throughout the entire survey process. We took 20,000 responses to an online questionnaire as experimental data. The survey took about 45 min on average. We did not take into account the given answers; we only considered the response time to the first question on each page of the survey interface, that is, only the users’ reaction time was taken into account. Data analysis showed that respondents get used to the interface elements and want to finish a long survey as soon as possible, which leads to quicker reactions. Based on the data, we built two neural network models that identify the records in which the respondent’s authenticity was violated or the respondent acted as a random clicker. The amount of data allows us to conclude that the identified dependencies are widely applicable.Evgeny NikulchevAlexander GusevDmitry IlinNurziya GazanovaSergey MalykhMDPI AGarticlereaction time to interface elementsweb surveysweb pollsrandom clickerslong questionnairesTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11034, p 11034 (2021)
institution DOAJ
collection DOAJ
language EN
topic reaction time to interface elements
web surveys
web polls
random clickers
long questionnaires
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle reaction time to interface elements
web surveys
web polls
random clickers
long questionnaires
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Evgeny Nikulchev
Alexander Gusev
Dmitry Ilin
Nurziya Gazanova
Sergey Malykh
Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey
description Web surveys are very popular in the Internet space. Web surveys are widely incorporated for gathering customer opinion about Internet services, for sociological and psychological research, and as part of the knowledge testing systems in electronic learning. When conducting web surveys, one of the issues to consider is the respondents’ authenticity throughout the entire survey process. We took 20,000 responses to an online questionnaire as experimental data. The survey took about 45 min on average. We did not take into account the given answers; we only considered the response time to the first question on each page of the survey interface, that is, only the users’ reaction time was taken into account. Data analysis showed that respondents get used to the interface elements and want to finish a long survey as soon as possible, which leads to quicker reactions. Based on the data, we built two neural network models that identify the records in which the respondent’s authenticity was violated or the respondent acted as a random clicker. The amount of data allows us to conclude that the identified dependencies are widely applicable.
format article
author Evgeny Nikulchev
Alexander Gusev
Dmitry Ilin
Nurziya Gazanova
Sergey Malykh
author_facet Evgeny Nikulchev
Alexander Gusev
Dmitry Ilin
Nurziya Gazanova
Sergey Malykh
author_sort Evgeny Nikulchev
title Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey
title_short Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey
title_full Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey
title_fullStr Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey
title_full_unstemmed Evaluation of User Reactions and Verification of the Authenticity of the User’s Identity during a Long Web Survey
title_sort evaluation of user reactions and verification of the authenticity of the user’s identity during a long web survey
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/e7a5810f54d3459a8a10e4c6d86f4565
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