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 result of the test. The aim of our research is to develop a method for the evaluation of the user acceptance for web-based aptitude tests. Negative influences when using a Human Computer Interface should be identified and minimized. After an analysis of existing acceptance models, the DART-approach is chosen as a basis for the adoption to web-based aptitude tests. Due to literature research and expert discussion, we identified twelve aggregated acceptance indicators. The use of the DART-approach helps to define a balanced set of measurable acceptance indicators for the evaluation of the user acceptance.