Cultural heritage (CH) institutions attract wide and heterogeneous audiences, which should be efficiently supported and have access to meaningful CH content. This introduces numerous challenges when delivering such experiences, given that people have different cognitive characteristics which influence the way we process information, experience, behave, and acquire knowledge. Our recent studies provide evidence that human cognition should be considered as a personalization factor within CH contexts, and thus we developed a framework that delivers cognition-centered personalized CH activities. The efficiency and the efficacy of the framework have been successfully assessed through two user studies, but non-technical professionals (e.g., CH designers) may face difficulties when attempting to use it and create personalized CH activities. In this paper, we present DeCACHe, which supports CH designers in creating cognition-centered personalized CH activities throughout different phases of the design lifecycle. We also report a user study with seventeen professional CH designers, who used our tool to design CH activities for people with different cognitive characteristics.Cognition-centered personalization framework for CH content. In our recent work [13], we presented a framework that helps CH stakeholders (e.g., CH designers, CH institutions, CH educators) in providing personalized CH activities to the visitors through adaptive interventions that leverage the visitors' cognitive profiles. The framework consists of three stages: (a) the design of personalized CH activities; (b) the visitor modeling based on selected cognitive factors; and (c) the configuration and delivery of the personalized CH activity to the visitor. The first stage is performed before the visit while the other two stages are performed during the visit. Hence, through our framework, a CH designer receives personalized recommendations that would help them to create different versions of a CH activity that build on the unique cognitive profile of the potential visitors, and, then, the personalized CH activity is delivered to each visitor through rule-based techniques, which map each visitor's cognitive profile with the corresponding rules of content adaptation. The cognitive profiles are built dynamically through real-time modeling based on users' behavioral data (e.g., eye-tracking data, interaction data). The results of three user-studies [12,13] revealed that the visitors who used the cognition-adapted CH activities had an enhanced experience and an improved knowledge acquisition in comparison to the visitors who used the original CH activities. However, we should stress that the configuration of the framework required the modification of technical details that our research team was aware of, but they can be a burden for non-technical CH stakeholders, such as designers. Hence, there is a need for providing a standalone authoring-like tool for supporting CH designers in easily creating cognition-centered personalized CH activities.Tools for creating...