Usability Evaluation in Service-Oriented Applications

Summary

Service-oriented applications, characterised by discrete services accessible via networked interfaces, have underpinned a transformation in digital service delivery. Their modular architecture enables flexible composition of business functions across domains such as e-commerce, healthcare and public administration. Ensuring that end users can effectively interact with these services is critical to adoption, satisfaction and performance. Usability evaluation in this context encompasses both functional interactions with application logic and non-functional qualities such as responsiveness, learnability and error tolerance. Traditional methods—heuristic reviews, cognitive walkthroughs and user testing—remain central but often require adaptation to distributed, heterogeneous environments. Contemporary practice integrates quantitative measures drawn from analytics, user behaviour logs and performance metrics with qualitative feedback from interviews and scenario-based assessments. Multi-criteria decision-making techniques, including fuzzy analytic hierarchy processes, have gained prominence for handling the inherent uncertainty in stakeholder judgements and varying user proficiencies. Across sectors, rigorous usability evaluation contributes to reducing friction in service orchestration, optimising API design and informing iterative refinements to composition frameworks. The global imperative for accessible digital services, intensified by remote working and mobile connectivity, underscores the practical impact of this research.

Research from Nature Portfolio

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Research from all publishers

Investigations into fuzzy-based assessment frameworks have demonstrated the value of multi-criteria decision-making techniques for complex service interfaces. A study on academic website usability employed a fuzzy analytic hierarchy process to engage students, faculty and administrative staff, prioritising factors such as content clarity, navigation ease and system performance. The resulting model provided a scalable evaluation tool that ranked institutional sites and highlighted latent usability issues across stakeholder groups. In the mobile gaming sector, research focused on novice-user expectations applied fuzzy weighting to translate subjective feedback into quantitative design criteria, guiding developers to align feature sets with accessibility and engagement goals. Concurrently, empirical evaluation of mobile banking services emphasised the roles of web design, ease of use and security in determining customer satisfaction. Survey-based metrics revealed that streamlined interface layouts and robust authentication processes significantly enhance user trust and adoption, informing iterative redesigns that balance usability with regulatory requirements.

Usability Evaluation in Service-Oriented Applications publication trend

The graph below shows the total number of articles in usability evaluation in service-oriented applications across all publications each year (not limited to Nature Index journals).

Technical terms

Service-Oriented Architecture (SOA): A design paradigm in which discrete software components, or services, communicate over a network to perform business functions.

Usability Evaluation: The systematic assessment of how effectively, efficiently and satisfactorily users can interact with a system to achieve specified goals.

Fuzzy Analytic Hierarchy Process (FAHP): A multi-criteria decision-making method that incorporates fuzzy logic to manage uncertainty in pairwise comparisons of evaluation factors.

Multi-Criteria Decision-Making (MCDM): A set of methodologies used to evaluate and prioritise alternatives when multiple, often conflicting, criteria are involved.

Cognitive Walkthrough: A task-based usability inspection method in which evaluators step through representative user tasks to identify potential interaction problems.

References

  1. Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process. Sustainability (2021).
  2. A Fuzzy AHP Approach to Evaluating the Fuzzy Weight of Mobile Game Application Software Quality Factors: Usability Expectations for Novice Users. Archives of Advanced Engineering Science (2024).
  3. The Influence of Web Design, Ease of Use, and Security on BNI Mobile Banking Customer Satisfaction. Indonesian Journal of Business Analytics (2023).

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