A Fuzzy Analytic Hierarchy Process for Usability Requirements of Online Education Systems

Gulzar, Kanza; Tariq, Omar; Mustafa, Saima; Mohsin, Syed Muhammad; Kazmi, Sadia Nishat; Akber, Syed Muhammad Abrar; Abazeed, Mohammed; Ali, Mohammed

doi:10.1109/access.2023.3341355

Cited by 4 publications

(2 citation statements)

References 59 publications

(65 reference statements)

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“…This approach ensures that evaluators concentrate on the most critical aspects early on, reducing the risk of fatigue and potential bias towards the end of the evaluation. Despite heuristics being mental shortcuts, there are approaches in the literature to quantify usability to make it comparable as a strategy to record software quality and then make improvements [41,74]. Quantifying user experiences and usability is challenging due to inherent biases, regardless of the approach [8].…”

Section: Discussionmentioning

confidence: 99%

“…Some research does not follow a uniform scale, and experts have designed proper weight systems to accomplish that task [71][72][73]. The study by Gulzar et al [74] presents multiple criteria weights used in the past, like mathematical programming, analytic network processes, linear weighting, and analytic hierarchy processes. Kamaldeep et al [71] followed the "CRiteria Importance Through the Inter-criteria Correlation" (henceforth CRITIC) methodology to establish and find objective weights related to the criteria of their evaluation.…”

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Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Talero-Sarmiento,

Gonzalez-Capdevila,

Granollers

et al. 2024

BDCC

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This study explores the implementation of the analytic hierarchy process in usability evaluations, specifically focusing on user interface assessment during software development phases. Addressing the challenge of diverse and unstandardized evaluation methodologies, our research develops and applies a tailored algorithm that simplifies heuristic prioritization. This novel method combines the analytic hierarchy process framework with a bespoke algorithm that leverages transitive properties for efficient pairwise comparisons, significantly reducing the evaluative workload. The algorithm is designed to facilitate the estimation of heuristic relevance regardless of the number of items per heuristic or the item scale, thereby streamlining the evaluation process. Rigorous simulation testing of this tailored algorithm is complemented by its empirical application, where seven usability experts evaluate a web interface. This practical implementation demonstrates our method’s ability to decrease the necessary comparisons and simplify the complexity and workload associated with the traditional prioritization process. Additionally, it improves the accuracy and relevance of the user interface usability heuristic testing results. By prioritizing heuristics based on their importance as determined by the Usability Testing Leader—rather than merely depending on the number of items, scale, or heuristics—our approach ensures that evaluations focus on the most critical usability aspects from the start. The findings from this study highlight the importance of expert-driven evaluations for gaining a thorough understanding of heuristic UI assessment, offering a wider perspective than user-perception-based methods like the questionnaire approach. Our research contributes to advancing UI evaluation methodologies, offering an organized and effective framework for future usability testing endeavors.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Talero-Sarmiento,

Gonzalez-Capdevila,

Granollers

et al. 2024

BDCC

View full text Add to dashboard Cite

show abstract

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Talero-Sarmiento,

Gonzalez-Capdevilla,

Granollers

et al. 2024

Preprint

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This study delves into the realm of heuristic evaluation within usability testing, focusing on refining and applying a tailored algorithm that simplifies the implementation of the Analytic Hierarchy Process for heuristic prioritization. Addressing the prevalent challenge of disparate evaluation methodologies and the absence of a standardized process in usability testing, our research introduces a novel method that leverages the Analytic Hierarchy Process alongside a bespoke algorithm. This algorithm utilizes transitive properties for pairwise comparisons, significantly reducing the evaluative workload. This innovative approach facilitates the estimation of heuristic relevance irrespective of the number of items per heuristic or the item scale and streamlines the overall evaluation process. In addition to rigorous simulation testing of the tailored algorithm, we applied our method in a practical scenario, engaging seven usability experts in evaluating a web interface. This empirical application underscored our method’s capacity to diminish the requisite comparison count and spotlight areas of improvement for critically weighted yet underperforming heuristics. The outcomes of this study underscore the efficacy of our approach in enhancing the efficiency and organization of heuristic evaluations, paving the way for more structured and effective usability testing methodologies in future research endeavors.

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Hybrid Management Strategy for Outsourcing Electromechanical Maintenance and Selecting Contractors in Taipei MRT

Peng,

Huang,

Liu

2024

Mathematics

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Taipei mass rapid transit (MRT), operational since 1996, serves up to two million passengers daily. Equipment malfunctions pose a safety risk, making the dual goals of cost reduction and safety a significant challenge. Recently, outsourcing non-core technical tasks has emerged as an effective cost-control strategy, allowing resource allocation to employee salaries and operational efficiency. This study uses the analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) to prioritize outsourcing for electromechanical equipment. It incorporates analysis from the outsourcing literature, historical data, and ISO documents from Taipei MRT. The research included interviews and surveys with seven senior managers, using software to analyze the outsourcing priorities of four key systems: electrical and fire safety, environmental air conditioning, escalators and elevators, and power supply. It suggests prioritizing environmental air conditioning, followed by power supply systems, escalators and elevators, and electrical and fire safety systems. Additionally, this study employed the FAHP and the technique for order of preference by similarity to ideal solution (TOPSIS) for the rigorous evaluation and monitoring of vendor selection to ensure quality service and effective contract execution. By comparing technical expertise, problem-solving capabilities, certifications, response times, and contractual performance, this study identified the most suitable vendors. It concludes with recommendations for Taipei MRT to enhance maintenance quality and reduce costs.

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A Fuzzy Analytic Hierarchy Process for Usability Requirements of Online Education Systems

Cited by 4 publications

References 59 publications

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment

Hybrid Management Strategy for Outsourcing Electromechanical Maintenance and Selecting Contractors in Taipei MRT

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