Cao, MingChen, YongZhu, MinZhang, Jiajie2023-05-222023-05-222015-01-012017-06-30https://repository.upenn.edu/handle/20.500.14332/33170Evaluating the correctness of medical software usage is critically important in healthcare system management. Turf is a software that can effectively collect interactions between user and computer. In this paper, we propose an algorithm to compare the recorded human-computer interaction events with a predefined path. Based on the pass/fail results, statistical analysis methods are proposed for two applications: to identify training effects and to compare products of the same functionality.flash_audioHuman-Computer InteractionTURFUsabilityEpidemiologyMedicine and Health SciencesPublic HealthAutomated Evaluation of Medical Software Usage: Algorithm and Statistical AnalysesPresentation