The it’s OWL Knowledge Base for Human-Machine Interaction, hosted and maintained by Bielefeld University, provides an overview of state-of-the-art methods, references to available software and hardware as well as evaluation resources for the realization of innovative HMI applications. It addresses researchers and engineers working in the fields of Human-Machine/Human-Computer Interaction, Usability Engineering, and Human Factors. The HMI knowledge base shall guide researchers and engineers in these fields throughout all phases of HMI system developments and provide references for most types of current human-machine interfaces ranging from touch-based to dialog-based human-machine interaction.
Content-wise, the innovation platform is organized along three central categories: (i) Problem Definitions define specific and concise issues occurring to researchers and practitioners. These problem statements reference (ii) Methods describe how these issues can be solved by applying a defined procedure. Methods, in turn, refer to tools (e.g. software and hardware components or document-based information, e.g., questionnaires) that are subsumed under (iii) Tool Categories.