Dataset of User Reactions When Filling Out Web Questionnaires

Magomedov, Shamil; Ilin, Dmitry; Silaeva, Anastasiya; Nikulchev, Evgeny

doi:10.3390/data5040108

Cited by 5 publications

(2 citation statements)

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“…Technically, user reaction time is the timespan from the start of the web survey screen representing a page with a number of questions to the time when the user clicked the desired answer option. In works [4][5][6] on various experiments with large samples, it was shown that reaction time reflects personal skills of interaction with the user interface. Of course, various factors may influence the change in reaction time, but in general, reactions are maintained the same over the course of a few hours of experimentation.…”

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confidence: 99%

“…Different researchers [31][32][33][34] defined and filtered random clickers and their thoughtless responses in different ways. In previous studies of web surveys [4,5,30], we gained experience in detecting random clickers. In this study, we simulate the behavior of random clickers based on the analysis of data from previous surveys when working with the given web interface.…”

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confidence: 99%

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

et al. 2021

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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.

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

et al. 2021

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Protected Network Architecture for Ensuring Consistency of Medical Data through Validation of User Behavior and DICOM Archive Integrity

Magomedov

Lebedev

2021

Applied Sciences

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The problem of consistency of medical data in Hospital Data Management Systems is considered in the context of correctness of medical images stored in a PACS (Picture Archiving and Communication System) and legality of actions authorized users perform when accessing MIS (Medical Information System) facilities via web interfaces. The purpose of the study is to develop a SIEM-like (Security Information and Event Management) architecture for offline analysis of DICOM (Digital Imaging and Communications in Medicine) archive integrity and users’ activity. To achieve amenable accuracy when validating DICOM archive integrity, two aspects are taken into account: correctness of periodicity of the incoming data stream and correctness of the image data (time series) itself for the considered modality. Validation of users’ activity assumes application of model-driven approaches using state-of-the-art machine learning methods. This paper proposes a network architecture with guard clusters to protect sensitive components like the DICOM archive and application server of the MIS. New server roles were designed to perform traffic interception, data analysis and alert management without reconfiguration of production software components. The cluster architecture allows the analysis of incoming big data streams with high availability, providing horizontal scalability and fault tolerance. To minimize possible harm from spurious DICOM files the approach should be considered as an addition to other securing techniques like watermarking, encrypting and testing data conformance with a standard.

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Users’ Reaction Time for Improvement of Security and Access Control in Web Services

et al. 2021

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This paper concerns the case of the development of a technology for increasing the efficiency of access control based on the user behavior monitoring built into a software system’s user interface. It is proposed to use the time of user reactions as individual indicators of psychological and psychophysical state. This paper presents the results and interpretation of user reactions collected during a mass web survey of students of the Russian Federation. The total number of users was equal to 22,357. To reveal the patterns in user reactions, both quantitative and qualitative approaches were applied. The analysis of the data demonstrated that the user could be characterized by their psychomotor reactions, collected during the answering of a set of questions. Those reactions reflected the personal skills of the interface interaction, the speed of reading, and the speed of answering. Thus, those observations can be used as a supplement to personal verification in information systems. The collection of the reaction times did not load the data volumes significantly nor transmit confidential information.

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Dataset of User Reactions When Filling Out Web Questionnaires

Cited by 5 publications

References 10 publications

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

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

Protected Network Architecture for Ensuring Consistency of Medical Data through Validation of User Behavior and DICOM Archive Integrity

Users’ Reaction Time for Improvement of Security and Access Control in Web Services

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