Research On Interactive Highlighting Based On Eye Tracking Technology

Because of the limit of the physical size of displayer and the bandwidth of humanvisual system, resulting bottleneck in raising the efficiency of displayer presents hugeamounts of information. The traditional Highlighting technology, Effective Layouttechnology, Focus+Context technology cannot be adjusted by individual difference andthe interactive characteristic, thereby limiting further improve the efficiency ofinformation transmission. Although the display mode of the Focus+Context technologyis interactive, the interactive mode of the traditional mouse and keyboard also limits tofurther improve efficiency. In this research, by combining highlighting technology withinteractive technology to give dynamic characteristics to the highlighting technology,and to apply the eye tracking technology to break through the limit of the interactivemode of mouse and keyboard, to make the human-computer interaction more naturaland efficient. Objective:(1) to fulfill the interactive highlighting system based on eyetracking;(2) to prove the interactive highlighting system based on eye tracking canimprove the performance of the visual target localization task in mass of information;(3) to explore whether the performance of visual target localization task has asignificant difference in different Highlighting Response Time or not, and to find outthe best parameters range of the Highlighting Response Time. Methods:(1) throughcombining Low-Pass Filter with eye movements event self-adapting technology,implement the interactive highlighting system based on eye tracking;(2)24collegestudents complete the visual target localization task in the mass numeric materials withand without using interactive highlighting system, recording task time and the numberof failures;(3)24college students complete the visual target localization task in themass icon materials with and without using interactive highlighting system, recordingtask time and the number of failures;(4)28college students respectively under thedifferent condition of highlighting response time to complete the visual targetlocalization task of massive information, recording task time and the number of task failures. Results:(1) the adaptive low-pass filtering algorithm can effectively filter thedrift, glissadic and tiny involuntary saccades, the interactive highlighting system hasimplement successfully;(2) when the stimuli materials is the numeric, the task time thatusing the interactive highlight system is significantly faster than not using the system,but there is no significant different from the number of task failures;(3) when thestimuli materials is the icon, the task time that using the interactive highlight system issignificantly faster than not using the system, but there is no significant different fromthe number of task failures;(4) when the highlighting response time is0ms and300ms,they had no difference in task time, but were significantly faster than the treatment thatinteractive highlighting system is no in use. However, task time between600ms ashighlighting response time and without using the interactive highlighting system has nosignificant difference. Conclusion:(1) the interactive highlighting system based on eyetracking can effectively improve the performance of massive visual target localizationtask;(2) different highlighting response time has significant influence on theperformance of visual target localization task,0ms~300ms is the optimum range ofhighlighting response time.