Exploratory Analysis of the Research Literature on Evaluation of In-Vehicle Systems
The dataset contains a graph-based representation of research papers from the research area of human-computer interaction for in-vehicle systems. For the proposed approach several thousand papers from different conferences, journals and monographs in the domain of in-vehicle interaction were systematically filtered, classified, and stored in a graph database. An exploratory 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. The used graph database platform neo4j allows to query the developed dataset while focusing on connections between the captured data. The data was manually classified from three conferences, eleven journals and three monographs between 2013 to 2017. The relevant articles were selected through different selection criteria. An explicit thematic relation to one or more us- ability methods, a practical application of the method in an empirical part of the study, and a relation to the context of use for in-vehicle interaction.