Asemi, Adeleh and Asemi, Asefeh (2022) A judgment-based model for usability evaluating of interactive systems using fuzzy Multi Factors Evaluation (MFE). Applied Soft Computing, 117 (108411). DOI 10.1016/j.asoc.2022.108411
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Official URL: https://doi.org/10.1016/j.asoc.2022.108411
Abstract
The study aimed to propose a judgment-based evaluation model for usability evaluating of interactive systems. Human judgment is associated with uncertainty and gray information. We used the fuzzy technique for integration, summarization, and distance calculation of quality value judgment. The proposed model is an integrated fuzzy Multi Factors Evaluation (MFE) model based on experts’ judgments in HCI, ISPD, and AMLMs. We provided a Fuzzy Inference System (FIS) for scoring usability evaluation metrics in different interactive systems. A multi-model interactive system is implemented for experimental testing of the model. The achieved results from the proposed model and experimental tests are compared using statistical correlation tests. The results show the ability of the proposed model for usability evaluation of interactive systems without the need for conducting empirical tests. It is concluded that applying a dataset in a neuro-FIS and training system cause to produce more than a hundred effective rules. The findings indicate that the proposed model can be applied for interactive system evaluation, informative evaluation, and complex empirical tests. Future studies may improve the FIS with the integration of artificial neural networks.
Item Type: | Article |
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Uncontrolled Keywords: | Usability evaluation, Usability testing, Interactive systems, Multiple Factors Evaluation (MFE), Fuzzy Inference System (FIS), Experts’ judgment |
Subjects: | Information economy Knowledge economy, innovation Computer science |
Projects: | EFOP 3.6.3-VEKOP-16-2017-00007 |
DOI: | 10.1016/j.asoc.2022.108411 |
ID Code: | 7222 |
Deposited By: | Ádám Hoffmann |
Deposited On: | 24 Feb 2022 08:31 |
Last Modified: | 24 Feb 2022 08:31 |
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