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Evaluation of User Acceptance for Web-based Aptitude Tests

Web-based aptitude tests, which are a special category of aptitude tests, can be used for rather standardized test methods and for a large amount of users. The characteristics of web-based aptitude tests can have an impact on the test results and the user acceptance. The aim of our research is to develop a method for the evaluation of the user acceptance for web-based aptitude tests. Therefore, we used the DART-approach with the dimension (Perceived) Usefulness, (Perceived) Ease of Use, (Perceived) Network Effects and (Perceived) Costs as the theoretical basis, identified important acceptance indicators, developed a questionnaire and conducted a survey. Afterwards, we proved the reliability and conducted a factor analysis. The results point out that some of the defined acceptance indicators should be revised. Additionally, the factor analysis shows that a combination of two dimensions (Perceived) Usefulness and (Perceived) Network Effects is useful especially with regard to web-based aptitude tests. Finally, we conducted a univariate analysis to evaluate the user acceptance of a web-based aptitude test. The visualised result on the basis of a DART-chart clearly shows that the interviewees evaluated the indicators very differently. There are fields, where the aptitude test fulfils the expectations, and fields, which can be improved.