摘要：传统的地图交互方式主要包括鼠标键盘控制和触摸设备控制，对根据人类视觉通道、利用眼动控制进行地图交互的研究还很少。眼动数据可以透露出人的心理状态和兴趣，因此将其作为地图交互的输入信息可以增加应用的可靠性和便利性。首先利用Tobii EyeX 眼动仪获取眼动数据，将该数据作为地图交互的输入信息，提出了注视点过滤算法和注视多边形定位算法；然后设计了眼控控件及其交互响应方式，解决了地图眼控交互中存在的注视点冗余、交互反馈延迟问题，并开发了一套眼动控制的交互式地图原型系统；最后通过比较用户分别使用眼动控制和鼠标控制完成相同地图浏览任务的耗时及表现，对地图眼控交互算法和原型系统进行了评价。
引用本文：朱琳, 王圣凯, 袁伟舜, 等. 眼动控制的交互式地图设计[J]. 武汉大学学报信息科学版, 2020, 45(5): 736-743.
Abstract: The frequency and intensity of extreme heat wave events have increased in the past several decades and are likely to continue to increase in the future under the influence of human-induced climate change. Exposure refers to people, property, systems, or other elements present in hazard zones that are thereby subject to potential losses. Exposure to extreme heat and changes therein are not just determined by climate changes but also population changes. Here we analyze output for three scenarios of greenhouse gas emissions and socio-economic growth to estimate future exposure change taking account of both climate and population factors. We find that for the higher emission scenario (RCP8.5-SSP3), the global exposure increases nearly 30-fold by 2100. The average exposure for Africa is over 118 times greater than it has been historically, while the exposure for Europe increases by only a factor of four. Importantly, in the absence of climate change, exposure is reduced by 75–95% globally and across all geographic regions, as compared with exposure under the high emission scenario. Under lower emission scenarios RCP4.5-SSP2 and RCP2.6-SSP1, the global exposure is reduced by 65% and 85% respectively, highlighting the efficacy of mitigation efforts in reducing exposure to extreme heat.