Evidence map›Paper›PMID 28035943›Full record

ArticleWork (Reading, Mass.)2017

Using a fuzzy comprehensive evaluation method to determine product usability: A proposed theoretical framework.

Ronggang Zhou, Alan H S Chan

Abstract read
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Article in Work (Reading, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ronggang ZhouSchool of Economics and Management, Beihang University, Beijing, P. R. China.
Alan H S ChanDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to compare existing usability data to ideal goals or to that for other products, usability practitioners have tried to develop a framework for deriving an integrated metric. However, most current usability methods with this aim rely heavily on human judgment about the various attributes of a product, but often fail to take into account of the inherent uncertainties in these judgments in the evaluation process.

objectiveThis paper presents a universal method of usability evaluation by combining the analytic hierarchical process (AHP) and the fuzzy evaluation method. By integrating multiple sources of uncertain information during product usability evaluation, the method proposed here aims to derive an index that is structured hierarchically in terms of the three usability components of effectiveness, efficiency, and user satisfaction of a product.

methodsWith consideration of the theoretical basis of fuzzy evaluation, a two-layer comprehensive evaluation index was first constructed. After the membership functions were determined by an expert panel, the evaluation appraisals were computed by using the fuzzy comprehensive evaluation technique model to characterize fuzzy human judgments. Then with the use of AHP, the weights of usability components were elicited from these experts. RESULTS AND

conclusionsCompared to traditional usability evaluation methods, the major strength of the fuzzy method is that it captures the fuzziness and uncertainties in human judgments and provides an integrated framework that combines the vague judgments from multiple stages of a product evaluation process.

Indexed as

Evaluation Studies as TopicFuzzy LogicModels, TheoreticalDecision Support TechniquesEquipment DesignHumansSurveys and Questionnairesanalytic hierarchy process (AHP)fuzzy comprehensive evaluationUsability

Identifiers

PMID28035943
PMCPMC5302050

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.