Investigating Contextual Variations in Explaining Plausible Narratives of Social Intention in Hospitals
J. Jaiman (TU Delft - Electrical Engineering, Mathematics and Computer Science)
H.S. Hung – Mentor (TU Delft - Pattern Recognition and Bioinformatics)
V. Popov – Mentor (TU Delft - Pattern Recognition and Bioinformatics)
A. Mercier – Mentor (TU Delft - Pattern Recognition and Bioinformatics)
R. Guerra Marroquim – Graduation committee member (TU Delft - Computer Graphics and Visualisation)
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Abstract
Intelligent systems are being increasingly deployed alongside humans, yet their ability to understand human intentions in order to perform tasks better is far from perfect. In this paper a literature survey will be performed to obtain existing examples of narratives, with and without intelligent systems,that take place in a Hospital - a setting with a variation in situation openness, where a framework of cues, characteristics, classes, internal scripts, external scripts, and memory and associative triggers all play an equally important role in determining an individual’s intention. Dimensions were extract from these scenarios and were analysed based on the three roles: Patients, Clinicians, and Family Members. Results and findings were used to develop a new case study involving an intelligent system assisting a doctor with diagnosing a patient and communicating it to them. Variations of contextual cues, amid other dimensions, were made to demonstrate multiple plausible narratives and its effects on intention.