An emotion processing system based on fuzzy inference and subjective observations
Information Sciences: an International Journal - Special issue on advanced neuro-fuzzy techniques and their applications
Affective computing
Tell Me a Story: Narrative and Intelligence
Tell Me a Story: Narrative and Intelligence
Journal of Biomedical Informatics
Visualizing the affective structure of a text document
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Journal of Biomedical Informatics - Special section: JAMA commentaries
Paralinguistic Discussion in an Online Educational Setting: A Preliminary Study
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
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The patient-physician relationship can be conceived as a process of structuring an ill-structured emotional-cognitive problem. So, new methods should be developed in order to capture the relations among emotions and cognitions, and physicians should be educated to recognize the influence of emotions on medical decision-making. The paper describes GRASP, an e-learning application based upon the assumption that cognitions and emotions are dual concepts. The results of a blended e-learning experiment are shown. The students were confronted with a role-playing based illness narrative. Their observations were segmented into information units, and uploaded on the e-learning system DVLN. The set of information units was then transformed into a bipartite graph, and analysed by means of STRUCTURE, an application aimed at grasping the structure of the relations among a set of ''objects''. The results were compared with Correspondence Analysis. The implications for medical education, medical reasoning, and medical record design are discussed.