基于眼动和生理信号的放疗软件用户界面设计要素可用性研究

目的 探究利用眼动和生理指标评价放射治疗软件操作系统用户界面可用性设计水平。方法 首先，通过专家咨询法在放射治疗软件操作系统用户界面选定了5个重要的用户界面设计要素，利用专家咨询为5个重要用户界面设计要素设计了2种不同风格的设计水平。其次，利用SPSS统计分析软件，通过正交设计实验法构建了8个放射治疗软件操作系统用户界面模型，用于实验测试。制定了具体的实验测试任务，并纳入了8个眼动指标和4个生理指标作为放射治疗软件操作系统用户界面可用性评估指标。招募了20名放射治疗技师作为实验测试者参与放射治疗软件操作系统用户界面可用性测试，并采集了眼动指标和生理指标数据用于放射治疗软件操作系统用户界面可用性评价。结果 皮肤导电性在8个不同页面中表现出了显著性统计学差异，适用于放射治疗软件操作系统用户界面可用性评价及建模；利用最小偏二乘回归法建立了放射治疗软件操作系统用户界面设计要素与皮肤导电性的可用性评估预测模型，并验证了模型的有效性。结论 该模型可有效用于放射治疗软件操作系统用户界面可用性评价、预测及优化设计改进。

Usability Study of User Interface Design Elements of Radiotherapy Software Based on Eye Movement and Physiological Signals

The purpose of this paper is to explore the use of eye movement and physiological indicators to evaluate the usability design of the radiotherapy software user interface.First, five important radiotherapy software interface design elements were selected through the expert consultation method, and two different styles of design levels were designed for five design elements by using expert consultation. Secondly, eight radiotherapy software interface prototypes were designed through orthogonal experimental design methods by using the SPSS statistical analysis software for experimental testing. Subsequently, specific experimental test tasks were formulated, and 8 eye movement indicators and 4 physiological indicators were included as the evaluation indicators for the usability of the radiotherapy software interface. At the same time, 20 radiotherapy technicians were recruited to participate in this radiotherapy software usability test, and data of eye movement indicators and physiological indicators were collected for usability evaluation of radiotherapy software.The results of the study show that the electrodermal activity showed significant statistical differences in 8 different pages, which can be used to evaluate and model the usability of radiotherapy software. Then, the partial least squares regression method was used to establish the usability predictive model for interface design elements and electrodermal activity, and the validity of the model was verified.This model can be effectively used to evaluate and predict the usability of the radiotherapy software interface and optimize the usability design of the radiotherapy software interface.