E-Z reader model: ? assumption
Emma model: 2 core assumptions
fixation onset = the real moment when we are processing
Tpp (time for preparation to move your eyeball)= saccade latency = a constant number of time to move your eyeball
Texc (time for executing eyeball movement)
Tprograming = Tpp + a little bit of Texc (the total time of silent eyeball)
Tenc = time for encoding the lexical meaning (pure time for parsing the single word's lexical meaning)
Beta 1
Beta 2
Beta 3
low spatial frequency = 字體的長度和大概輪廓團塊（讓眼球跳到下个地方的大概資訊）
high spatial frequency
Visual accuity = Zigma [ (word aplha value )/ word length]
word alpha value examples:
"attention"
432101234 sum#1 = 20
012345678 sum#2 = 36
word length of "attention" = 9
visual accuity in this case #1 = 20/9
case #2 = 36/9
single fixation -> two or multiple fixation points
總之研究的推進是在更精確的設計後突破前人所不能回答的問題
英文中早已證實有偏好降落位置，可是中文用類似的方式統計後似沒有。但德國的研究採取每個漢字部份多點式的聚焦
這個案例中是講中文的landing position是用什麼決定的？
因為英文是很明顯受到space 的影響，會有preferred landing position，中間偏前面
中文一定會有segmentation process出現，可是在整個認知過程中他的位置和時間在哪裡？會不會影響landing position?
2003 Reichle BBS the E-Z reader model of eye-movement control in reading (2003)
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