The Effect of Usability, Information Quality, and Service Interaction on E-Loyalty Mediated by E-Satisfaction on Hallobumil Application Users

Sari, Indria; Tj, Hery Winoto; Fushen, .; Wahyoedi, Soegeng; Widjaja, Bernard Tirto

doi:10.18502/kss.v8i2.12765

“…The principal eigenvector w corresponding to the largest eigenvalue λ max is computed to calculate the weights, which determine the priorities. A consistency check ensures the reliability of these comparisons, using a consistency ratio (henceforth CR) to compare the matrix's consistency index (henceforth CI) against an ideal index derived from a random matrix (see (7)). If CR is below 0.1, the weights are considered consistent.…”

Section: Analytical Hierarchical Processmentioning

confidence: 99%

“…A focus on usability ensures that products are intuitive and accessible, meeting the diverse needs of users [3] and enhancing human performance [4]. Thus, the integration of usability in technology not only fosters a positive user experience [5] but significantly influences user adoption and satisfaction [6,7]. Experts decompose the usability into components or guidelines called heuristics.…”

Section: Introductionmentioning

confidence: 99%

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

Talero-Sarmiento,

Gonzalez-Capdevilla,

Granollers

et al. 2024

Preprint

0

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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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“…The principal eigenvector w corresponding to the largest eigenvalue λ max is computed to calculate the weights, which determine the priorities. A consistency check ensures the reliability of these comparisons, using a consistency ratio (hereafter CR) to compare the matrix's consistency index (henceforth CI) against an ideal index derived from a random matrix (see (7)). If the CR is below 0.1, the weights are consistent; this concept is relevant during comparison processes because the utility theory requires a consistency comparison [84].…”

Section: Analytical Hierarchical Processmentioning

confidence: 99%

“…A focus on usability ensures that products are intuitive and accessible, meeting the diverse needs of users [3] and enhancing human performance [4]. Thus, integrating usability in technology fosters a positive user experience [5] and significantly influences user adoption and satisfaction [6,7].…”

Section: Introductionmentioning

confidence: 99%

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

Talero-Sarmiento,

Gonzalez-Capdevila,

Granollers

et al. 2024

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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.

show abstract

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

Talero-Sarmiento,

Gonzalez-Capdevilla,

Granollers

et al. 2024

Preprint

1

0

View full text Add to dashboard Cite

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.

show abstract

The Effect of Usability, Information Quality, and Service Interaction on E-Loyalty Mediated by E-Satisfaction on Hallobumil Application Users

Cited by 3 publications

References 9 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

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

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