The Influence of Presentation Frames of Visualization Information for Safety on Situational Awareness under a Three-Level User-Interface Design

• Published in: International journal of environmental research and public health Vol. 20; no. 4; p. 3325
• Main Authors: Yuan, Xiaofang, Yan, Jing, Sun, Linhui, Cheng, Fangming, Guo, Zigu, Yu, Hongzhi
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 14.02.2023; MDPI
• Subjects: Cognitive load; Decision making; Design; Epidemics; Information processing; Interfaces; Jurisdiction; Usability; Visualization; Australia; visualization information for safety (VIS); framing effect; eye-movement; situation awareness (SA); situation-present-assessment method (SPAM); situation-awareness-rating technique (SART)
• DOI: 10.3390/ijerph20043325
• ISSN: 1660-4601; 1661-7827

To explore the influence of the construction and presentation frames of visualization information for safety (VIS) on people’s situation awareness (SA), we designed a three-level user interface (UI) of VIS based on the three-stage SA theory, including perception (SA1), comprehension (SA2), and projection (SA3). Then, 166 subjects were recruited and divided into three groups to participate in the experiment, in which SA was measured by the situation-present-assessment method (SPAM) and situation-awareness-rating technique (SART), and eye-movement data were recorded. The results show that the level−3 UI design could effectively improve the subjects’ SA levels. Although the increase in VIS displayed caused by the higher UI level led to a decrease in the perception-stage score of SA, the level−3 UI fully considered the three stages of human information processing, and helped improve the SA of the subjects; the overall SA score measured using the SART method was not significant, but the result was consistent with the SPAM. There was a framing effect on the presentation of VIS, and subjects perceived different degrees of risk under different presentation frames; that is, less risk under the positive frame, more risk under the negative frame, and a higher level of SA under the positive frame compared with the negative frame. To some extent, the nearest-neighbor-index (NNI) algorithm could be utilized to quantify subjects’ eye-tracking fixation mode. While the frames were guided by the high-level interface and the positive presentation frame, the distribution of the subjects’ gaze points was more discrete; they could grasp the relevant information more comprehensively and had a relatively high level of SA. To some extent, this study can provide a reference for the design and optimization of the VIS presentation interface.