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Speech technology to support interventional radiologists by assisting the hands-occupied problem.

Xia, Ziyang (2019) Speech technology to support interventional radiologists by assisting the hands-occupied problem.

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Embargo date:11 July 2022
Abstract:The visual and tactile based traditional interaction modalities present challenges for the intuitive and independent manipulation of interventional radiologists. Currently, radiologists rely on an assistant to adjust devices when their hands were occupied with medical tools. This hands-occupied situation calls for the exploration of voice interaction solution to improve both working efficiency and user experience. User-centric design methods were adopted to identify user requirements and design opportunities. A study was designed to ascertain how challenging conditions influence work performance and user satisfaction in a simulated context. Results indicate high cognitive load when doing a precise placement under an indirect view. Potentials of cognitive overload by using voice commands to interact with the system were identified, especially when a random conversation occurs. In conclusion, we argue that a well-considered manner is vital when introducing voice interaction into interventional radiology. The cognitive state of radiologists and complexity of IR are two critical issues.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 54 computer science
Programme:Interaction Technology MSc (60030)
Link to this item:http://purl.utwente.nl/essays/79219
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