An exploratory literature review method was applied to publications from several sources on Human-Computer Interaction (HCI) for In-Vehicle Information Systems (IVIS). The novel approach for bibliographic classification uses a graph database to investigate connections between authors, papers, used methods, and investigated interface types. This allows the application of algorithms to find similarities between different publications and overlaps between different usability evaluation methods. Through community detection algorithms, the publications can be clustered based on similarity relationships. For the proposed approach several thousand papers were systematically filtered, classified, and stored in a graph database. The survey shows a trend for usability assessment methods with direct involvement of users, especially the observation of users and performance-related measurements, as well as questionnaires and interviews. However, especially methods usually applied in early stages of development based on the assessment through models or experts, as well as collaborative and creativity methods do not seem very popular in automotive HCI research.