Models offer visual support for analyzing complex domains such as business processes and information systems. In both cases, models are developed using graphical modelling languages. In our study we focus on usability evaluation of modelling languages for the model interpretation scenario. The study is based on a causal model of hypotheses, which was developed under consideration of psychological cognitive theories and usability theory. Survey data is collected and the causal relations hypotheses are assessed using a structure equation modelling approach. Our study shows important findings for practical and theoretical issues of how differing modelling languages are influencing usability attributes on causal stages in model interpretation
