Data to evaluate the usability of an interactive system based on a judgment-based model
The data presented in this article are related to the published article entitled “A Judgment-Based Model for Usability Evaluating of Interactive Systems Using Fuzzy Multi Factors Evaluation (MFE)” in “Applied Soft Computing” [1]. The purpose of data collection in this paper was to integrate a fuzzy...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-08-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922006151 |
| _version_ | 1811339148350455808 |
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| author | Adeleh Asemi Asefeh Asemi |
| author_facet | Adeleh Asemi Asefeh Asemi |
| author_sort | Adeleh Asemi |
| collection | DOAJ |
| description | The data presented in this article are related to the published article entitled “A Judgment-Based Model for Usability Evaluating of Interactive Systems Using Fuzzy Multi Factors Evaluation (MFE)” in “Applied Soft Computing” [1]. The purpose of data collection in this paper was to integrate a fuzzy multifactorial evaluation (MFE) model based on the judgment of experts in the three fields of ISPD, HCI, and AMLM. Two sets of data were used to conduct this research. One set of data extracted from WoS related to 180 articles published in 2018-2019. The data were extracted by searching the keyword “interactive system” in the “Computer Science” category. The second category of data is related to the opinions of experts. Component factor analysis in “IBM SPSS 25 Statistics” was used to classify the objectives of the interaction system. The collected data were prepared as FIS inputs. A FIS was designed to evaluate usability using a fuzzy toolbox of MATLAB software of Mamdani type. Inputs consisted of four classes of interactive systems and five usability criteria as outputs. One of the inputs as the target of the interactive system was not considered a fuzzy variable. The rest of the inputs and five outputs were considered the fuzzy variable. |
| first_indexed | 2024-04-13T18:21:53Z |
| format | Article |
| id | doaj.art-b31de6af2acb4a4e85d9c7bb22863c60 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-13T18:21:53Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-b31de6af2acb4a4e85d9c7bb22863c602022-12-22T02:35:25ZengElsevierData in Brief2352-34092022-08-0143108418Data to evaluate the usability of an interactive system based on a judgment-based modelAdeleh Asemi0Asefeh Asemi1Department of Software Engineering, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603 Kuala Lumpur, MalaysiaDoctoral School of Economics, Business, & Informatics, Corvinus University of Budapest, 1093 Budapest, Fovam ter 8., Hungary; Corresponding author.The data presented in this article are related to the published article entitled “A Judgment-Based Model for Usability Evaluating of Interactive Systems Using Fuzzy Multi Factors Evaluation (MFE)” in “Applied Soft Computing” [1]. The purpose of data collection in this paper was to integrate a fuzzy multifactorial evaluation (MFE) model based on the judgment of experts in the three fields of ISPD, HCI, and AMLM. Two sets of data were used to conduct this research. One set of data extracted from WoS related to 180 articles published in 2018-2019. The data were extracted by searching the keyword “interactive system” in the “Computer Science” category. The second category of data is related to the opinions of experts. Component factor analysis in “IBM SPSS 25 Statistics” was used to classify the objectives of the interaction system. The collected data were prepared as FIS inputs. A FIS was designed to evaluate usability using a fuzzy toolbox of MATLAB software of Mamdani type. Inputs consisted of four classes of interactive systems and five usability criteria as outputs. One of the inputs as the target of the interactive system was not considered a fuzzy variable. The rest of the inputs and five outputs were considered the fuzzy variable.http://www.sciencedirect.com/science/article/pii/S2352340922006151Interactive systemsUsability assessmentMultifactorial assessmentFuzzy inference systemHuman-computer interactionActive machine learning methods |
| spellingShingle | Adeleh Asemi Asefeh Asemi Data to evaluate the usability of an interactive system based on a judgment-based model Data in Brief Interactive systems Usability assessment Multifactorial assessment Fuzzy inference system Human-computer interaction Active machine learning methods |
| title | Data to evaluate the usability of an interactive system based on a judgment-based model |
| title_full | Data to evaluate the usability of an interactive system based on a judgment-based model |
| title_fullStr | Data to evaluate the usability of an interactive system based on a judgment-based model |
| title_full_unstemmed | Data to evaluate the usability of an interactive system based on a judgment-based model |
| title_short | Data to evaluate the usability of an interactive system based on a judgment-based model |
| title_sort | data to evaluate the usability of an interactive system based on a judgment based model |
| topic | Interactive systems Usability assessment Multifactorial assessment Fuzzy inference system Human-computer interaction Active machine learning methods |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922006151 |
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