2020開始，世界各地都受到COVID-19的疫情影響，人們需要配戴口罩維持平常生活。在這樣嚴峻的條件下，人們僅能夠過判斷上半部臉部特徵，進行情緒感知的判斷。因此為了提升大眾在配戴口的情況下進行情緒交流，本研究透過感性工學的研究方法，針對200張由網路蒐集的男女眼神圖像進行分類與評價，歸類出可預測六大基本情緒的上半臉表情特徵。本研究透過專家焦點團體法，建立出視覺型態要素表(包含三大特徵與五個程度)；並收集200份網路問卷，找出哪些表情特徵將會對人們的基本六大情緒感知產生影響，並探討不同集群分組間的差異。最終以回歸分析找出有效判斷情緒的三個特徵，皺眉程度、眉毛角度、瞇眼程度；歸納出六個回歸方程式來預測圖片中的情緒感受。

In 2020, all around the world are affected by the covid-19 epidemic, and people need to wear masks to maintain their normal lives. In this situation, people could only recognize the upper half of the facial expression and judge the emotions. Therefore, in order to improve the public's emotional judgment in a harsh environment, this research uses the research method of Kansei engineering to classify and evaluate 200 male and female eye images collected on the Internet. After the expert focus group method, the visual feature table of Eye gaze (including three characteristics and five levels) is established. Then, through regression analysis, these three characteristics can effectively judge emotions are found, such as squinted degree, eyebrow wrinkles and eyebrow angle. Finally, find out six regression equations to predict basic six feelings of different pictures to the participants.

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