CoSy - AI enhanced assistance system for face to face communication trainings in higher healthcare education
Fabian Samek, Mathias Eulers, Markus Dresel, Nicole Jochems, Andreas Schräder, Alfred Mertins · 2023
This paper presents the current state of the Communication Support System (CoSy) which is a web-based system meant for assisting communication training in the healthcare domain. To improve feedback quality and thus learning outcomes of future healthcare professionals, CoSy generates feedback regarding a case-based student-actor conversation. The feedback contains verbal and para verbal aspects, i. e. speech rate, used word, and conversation share. Therefore, the system implements three components: (1) Audio recording of the conversation, (2) AI-based analysis of that conversation, and (3) visualization of corresponding feedback. In line with the large-scale project LABORATORIUM, a human-centered design approach is used to design the system, while a machine learning algorithm is built and trained with domain experts to guarantee reliable speech analysis. The result is a flexible and assistive system that can be used to complement communication training in which various healthcare situations can be practiced and discussed in class. Future work will also face a real-time analysis as well as more complex analysis aspects of communication like emotions or paraphrasing.