2015年10月30日 星期五

EMR 10/29 note

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) 

沒有留言:

張貼留言