Acta Psychologica Sinica ›› 2024, Vol. 56 ›› Issue (12): 1734-1750.doi: 10.3724/SP.J.1041.2024.01734
• Reports of Empirical Studies • Previous Articles Next Articles
LIANG Feifei1,2,3(), LIU Ying2, HE Fei4, FENG Linlin2, WANG Zheng5, BAI Xuejun1,2,3
Published:
2024-12-25
Online:
2024-11-04
Contact:
LIANG Feifei
E-mail:feifeiliang_329@126.com
LIANG Feifei, LIU Ying, HE Fei, FENG Linlin, WANG Zheng, BAI Xuejun. (2024). Visual complexity effect in Chinese incidental word learning: Evidence from number of strokes and word length. Acta Psychologica Sinica, 56(12), 1734-1750.
T item | Low stroke (印木) | High stroke (露提) | ||
---|---|---|---|---|
first character | last character | first character | last character | |
Number of strokes | 4.13(0.99) | 4.13(0.64) | 13.5(3.07) | 12.88(1.13) |
Character frequency | 344.65(227.63) | 270.30(142.99) | 381.63(434.24) | 209.67(142.42) |
Character frequency (Log) | 4.14(0.37) | 4.04(0.25) | 4.06(0.41) | 3.92(0.26) |
character positional probability (first character) | 0.44(0.10) | 0.49(0.24) | 0.44(0.10) | 0.49(0.24) |
Table 1 Number of strokes, character frequency, and character positional probability under two number of strokes conditions
T item | Low stroke (印木) | High stroke (露提) | ||
---|---|---|---|---|
first character | last character | first character | last character | |
Number of strokes | 4.13(0.99) | 4.13(0.64) | 13.5(3.07) | 12.88(1.13) |
Character frequency | 344.65(227.63) | 270.30(142.99) | 381.63(434.24) | 209.67(142.42) |
Character frequency (Log) | 4.14(0.37) | 4.04(0.25) | 4.06(0.41) | 3.92(0.26) |
character positional probability (first character) | 0.44(0.10) | 0.49(0.24) | 0.44(0.10) | 0.49(0.24) |
Learning phase | Sentence number | Sentence frame |
---|---|---|
1 | 探险家说, 生活在南方的原始 节夫喜欢从树上跳到湖里。 Explorers say that primitive 节夫 living in the south like to jump from trees into lakes. | |
1 | 2 | 他们发现, 喜欢捉鱼吃是这种 节夫具有的一大特点。 They found that the monkey's penchant for catching fish to eat was one of the characteristics of the 节夫. |
3 | 因为这个特点, 可以训练 节夫当人类的捕鱼助手。 Because of this feature, 节夫can be trained to be fishing assistants for humans. | |
4 | 占了半张脸的一双大眼睛让 节夫看起来特别可爱, 还很萌。 A pair of big eyes that occupy half of the face make the monkey look particularly cute and cute. | |
2 | 5 | 而且, 脖子可以转一圈也是 节夫突出的特点。 Moreover, the ability to turn the neck in a circle is also a prominent feature of 节夫. |
6 | 这些外形上的特点使得 节夫成为当地人的一种宠物。 These physical features make the 节夫a pet for the locals. | |
7 | 说起食物喜好, 雨林里的野果并不是 节夫最喜欢吃的。 When it comes to food preferences, wild fruits in the rainforest aren't the 节夫favorite food. | |
3 | 8 | 而当地人种的花生却总是被 节夫偷吃光。 The peanuts grown by the locals are always eaten by the 节夫. |
9 | 据说, 还发生过 节夫跳到农家里吃肉的事情。 It is said that there have been cases of 节夫jumping into farmhouses to eat meat. | |
10 | 当地人认为 节夫是一种可爱的吉祥物。 Locals consider the 节夫to be a cute mascot. | |
4 | 11 | 听说, 他们总喜欢把 节夫当作宠物喂养。 It is said that they always like to feed 节夫as pets. |
12 | 一般, 那种家养 节夫只有大人的手掌那么大。 Usually, the domestic 节夫is the size of an adult's palm. | |
13 | 有冷风的时候, 为了保暖, 群居的年幼 节夫经常挤在一起睡觉。 When there is a cold wind, young 节夫that live in groups often huddle together to sleep together to keep warm. | |
5 | 14 | 相互理毛也是野生 节夫常见的行为动作。 Mutual grooming is also a common behavioural action in wild 节夫. |
15 | 不过, 这些群居 节夫从来不分享食物, 也是有点怪。 However, it is also a bit strange that these social 节夫never share food. |
Table 2 Examples of experimental materials for the learning phase
Learning phase | Sentence number | Sentence frame |
---|---|---|
1 | 探险家说, 生活在南方的原始 节夫喜欢从树上跳到湖里。 Explorers say that primitive 节夫 living in the south like to jump from trees into lakes. | |
1 | 2 | 他们发现, 喜欢捉鱼吃是这种 节夫具有的一大特点。 They found that the monkey's penchant for catching fish to eat was one of the characteristics of the 节夫. |
3 | 因为这个特点, 可以训练 节夫当人类的捕鱼助手。 Because of this feature, 节夫can be trained to be fishing assistants for humans. | |
4 | 占了半张脸的一双大眼睛让 节夫看起来特别可爱, 还很萌。 A pair of big eyes that occupy half of the face make the monkey look particularly cute and cute. | |
2 | 5 | 而且, 脖子可以转一圈也是 节夫突出的特点。 Moreover, the ability to turn the neck in a circle is also a prominent feature of 节夫. |
6 | 这些外形上的特点使得 节夫成为当地人的一种宠物。 These physical features make the 节夫a pet for the locals. | |
7 | 说起食物喜好, 雨林里的野果并不是 节夫最喜欢吃的。 When it comes to food preferences, wild fruits in the rainforest aren't the 节夫favorite food. | |
3 | 8 | 而当地人种的花生却总是被 节夫偷吃光。 The peanuts grown by the locals are always eaten by the 节夫. |
9 | 据说, 还发生过 节夫跳到农家里吃肉的事情。 It is said that there have been cases of 节夫jumping into farmhouses to eat meat. | |
10 | 当地人认为 节夫是一种可爱的吉祥物。 Locals consider the 节夫to be a cute mascot. | |
4 | 11 | 听说, 他们总喜欢把 节夫当作宠物喂养。 It is said that they always like to feed 节夫as pets. |
12 | 一般, 那种家养 节夫只有大人的手掌那么大。 Usually, the domestic 节夫is the size of an adult's palm. | |
13 | 有冷风的时候, 为了保暖, 群居的年幼 节夫经常挤在一起睡觉。 When there is a cold wind, young 节夫that live in groups often huddle together to sleep together to keep warm. | |
5 | 14 | 相互理毛也是野生 节夫常见的行为动作。 Mutual grooming is also a common behavioural action in wild 节夫. |
15 | 不过, 这些群居 节夫从来不分享食物, 也是有点怪。 However, it is also a bit strange that these social 节夫never share food. |
Prime stimulus Stroke | Index | Relevancy of the meaning of the target word | |
---|---|---|---|
Relevant | Irrelevant | ||
High | Reaction time | 639(112) | 628(124) |
Accuracy | 94.13(8.80) | 95.33(7.23) | |
Low | Reaction time | 632(109) | 648(123) |
Accuracy | 95.33(8.88) | 93.22(9.42) |
Table 3 Response times (ms) and accuracy (%) in the vocabulary judgment task of Experiment 1
Prime stimulus Stroke | Index | Relevancy of the meaning of the target word | |
---|---|---|---|
Relevant | Irrelevant | ||
High | Reaction time | 639(112) | 628(124) |
Accuracy | 94.13(8.80) | 95.33(7.23) | |
Low | Reaction time | 632(109) | 648(123) |
Accuracy | 95.33(8.88) | 93.22(9.42) |
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Skipping probability | Intercept | ?1.91 | 0.12 | ?16.25 | [?2.14, ?1.68] |
Stroke | 0.65 | 0.11 | 5.83 | [0.43, 0.87] | |
Learning phase | 0.02 | 0.02 | 0.78 | [?0.03, 0.06] | |
stroke×learning phase | 0.02 | 0.03 | 0.69 | [?0.04, 0.08] | |
First fixation duration | Intercept | 5.54 | 0.01 | 375.71 | [5.51, 5.56] |
Stroke | ?0.05 | 0.01 | ?4.34 | [?0.08, ?0.03] | |
Learning phase | ?0.01 | 0.004 | ?3.70 | [?0.02, ?0.01] | |
stroke×learning phase | 0.01 | 0.004 | 1.45 | [?0.002, 0.01] | |
Gaze duration | Intercept | 5.61 | 0.02 | 235.59 | [5.56, 5.66] |
Stroke | ?0.04 | 0.01 | ?3.09 | [?0.06, ?0.01] | |
Learning phase | ?0.09 | 0.01 | ?6.22 | [?0.12, ?0.06] | |
stroke×learning phase | ?0.03 | 0.02 | ?1.33 | [?0.07, 0.01] | |
Regressions in probability | Intercept | ?0.95 | 0.11 | ?8.65 | [?1.16, ?0.73] |
Stroke | ?0.03 | 0.10 | ?0.29 | [?0.23, 0.17] | |
Learning phase | ?0.17 | 0.03 | ?6.12 | [?0.23, ?0.12] | |
stroke×learning phase | 0.004 | 0.03 | 0.12 | [?0.06, 0.06] | |
Total fixation number | Intercept | 2.16 | 0.07 | 31.15 | [2.03, 2.30] |
Stroke | ?0.22 | 0.04 | ?6.01 | [?0.29, ?0.15] | |
Learning phase | ?0.16 | 0.02 | ?8.42 | [?0.19, ?0.12] | |
stroke×learning phase | 0.01 | 0.01 | 1.28 | [?0.01, 0.03] | |
Total fixation duration | Intercept | 6.21 | 0.04 | 166.79 | [6.14, 6.28] |
Stroke | ?0.12 | 0.02 | ?6.59 | [?0.16, ?0.09] | |
Learning phase | ?0.09 | 0.01 | ?8.44 | [?0.10, ?0.07] | |
stroke×learning phase | 0.01 | 0.01 | 1.83 | [?0.001, 0.02] |
Table 4 Summary of model analysis results for fixation time and ratio statistics of new words under two number of strokes conditions
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Skipping probability | Intercept | ?1.91 | 0.12 | ?16.25 | [?2.14, ?1.68] |
Stroke | 0.65 | 0.11 | 5.83 | [0.43, 0.87] | |
Learning phase | 0.02 | 0.02 | 0.78 | [?0.03, 0.06] | |
stroke×learning phase | 0.02 | 0.03 | 0.69 | [?0.04, 0.08] | |
First fixation duration | Intercept | 5.54 | 0.01 | 375.71 | [5.51, 5.56] |
Stroke | ?0.05 | 0.01 | ?4.34 | [?0.08, ?0.03] | |
Learning phase | ?0.01 | 0.004 | ?3.70 | [?0.02, ?0.01] | |
stroke×learning phase | 0.01 | 0.004 | 1.45 | [?0.002, 0.01] | |
Gaze duration | Intercept | 5.61 | 0.02 | 235.59 | [5.56, 5.66] |
Stroke | ?0.04 | 0.01 | ?3.09 | [?0.06, ?0.01] | |
Learning phase | ?0.09 | 0.01 | ?6.22 | [?0.12, ?0.06] | |
stroke×learning phase | ?0.03 | 0.02 | ?1.33 | [?0.07, 0.01] | |
Regressions in probability | Intercept | ?0.95 | 0.11 | ?8.65 | [?1.16, ?0.73] |
Stroke | ?0.03 | 0.10 | ?0.29 | [?0.23, 0.17] | |
Learning phase | ?0.17 | 0.03 | ?6.12 | [?0.23, ?0.12] | |
stroke×learning phase | 0.004 | 0.03 | 0.12 | [?0.06, 0.06] | |
Total fixation number | Intercept | 2.16 | 0.07 | 31.15 | [2.03, 2.30] |
Stroke | ?0.22 | 0.04 | ?6.01 | [?0.29, ?0.15] | |
Learning phase | ?0.16 | 0.02 | ?8.42 | [?0.19, ?0.12] | |
stroke×learning phase | 0.01 | 0.01 | 1.28 | [?0.01, 0.03] | |
Total fixation duration | Intercept | 6.21 | 0.04 | 166.79 | [6.14, 6.28] |
Stroke | ?0.12 | 0.02 | ?6.59 | [?0.16, ?0.09] | |
Learning phase | ?0.09 | 0.01 | ?8.44 | [?0.10, ?0.07] | |
stroke×learning phase | 0.01 | 0.01 | 1.83 | [?0.001, 0.02] |
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Incoming saccade length | Intercept | 2.90 | 0.11 | 26.16 | [2.68, 3.12] |
Stroke | 0.16 | 0.05 | 3.30 | [0.07, 0.26] | |
Learning phase | ?0.01 | 0.03 | ?0.31 | [?0.06, 0.05] | |
stroke×learning phase | ?0.02 | 0.01 | ?1.47 | [?0.05, 0.01] | |
Outgoing saccade length | Intercept | 2.68 | 0.08 | 32.72 | [2.52, 2.84] |
Stroke | 0.05 | 0.06 | 0.79 | [?0.07, 0.16] | |
Learning phase | 0.01 | 0.02 | 0.64 | [?0.03, 0.06] | |
stroke×learning phase | 0.002 | 0.02 | 0.13 | [?0.03, 0.04] |
Table 5 Summary of model analysis results for saccade localization of new words under two number of strokes conditions
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Incoming saccade length | Intercept | 2.90 | 0.11 | 26.16 | [2.68, 3.12] |
Stroke | 0.16 | 0.05 | 3.30 | [0.07, 0.26] | |
Learning phase | ?0.01 | 0.03 | ?0.31 | [?0.06, 0.05] | |
stroke×learning phase | ?0.02 | 0.01 | ?1.47 | [?0.05, 0.01] | |
Outgoing saccade length | Intercept | 2.68 | 0.08 | 32.72 | [2.52, 2.84] |
Stroke | 0.05 | 0.06 | 0.79 | [?0.07, 0.16] | |
Learning phase | 0.01 | 0.02 | 0.64 | [?0.03, 0.06] | |
stroke×learning phase | 0.002 | 0.02 | 0.13 | [?0.03, 0.04] |
T item | Three-character novel word (红音考) | Two-character novel word (格活) | |||
---|---|---|---|---|---|
first character | Middle character | last character | first character | last character | |
Number of strokes | 7.88(1.73) | 8.25(1.39) | 8.63(1.68) | 8.50(1.41) | 8.50(1.41) |
Character frequency | 268.75(202.75) | 804.77(972.14) | 588.06(498.74) | 517.95(540.14) | 556.04(422.29) |
Character frequency (Log) | 4.00(0.31) | 4.34(0.46) | 4.30(0.38) | 4.21(0.41) | 4.33(0.27) |
Character positional probability (first character) | 0.28(0.12) | 0.33(0.17) | 0.44(0.24) | 0.44(0.13) | 0.45(0.08) |
Table 6 Number of strokes, character frequency, and character positional probability under two word length conditions
T item | Three-character novel word (红音考) | Two-character novel word (格活) | |||
---|---|---|---|---|---|
first character | Middle character | last character | first character | last character | |
Number of strokes | 7.88(1.73) | 8.25(1.39) | 8.63(1.68) | 8.50(1.41) | 8.50(1.41) |
Character frequency | 268.75(202.75) | 804.77(972.14) | 588.06(498.74) | 517.95(540.14) | 556.04(422.29) |
Character frequency (Log) | 4.00(0.31) | 4.34(0.46) | 4.30(0.38) | 4.21(0.41) | 4.33(0.27) |
Character positional probability (first character) | 0.28(0.12) | 0.33(0.17) | 0.44(0.24) | 0.44(0.13) | 0.45(0.08) |
Prime stimulus | Index | Relevancy of the meaning of the target word | |
---|---|---|---|
Relevant | Irrelevant | ||
Three-character word | Reaction time | 594(95) | 570(92) |
Accuracy | 89.51(11.60) | 94.29(11.19) | |
Two-character word | Reaction time | 583(100) | 594(104) |
Accuracy | 91.67(11.00) | 91.05(12.06) |
Table 7 Reaction times (ms) and accuracy (%) for the lexical decision task in Experiment 2
Prime stimulus | Index | Relevancy of the meaning of the target word | |
---|---|---|---|
Relevant | Irrelevant | ||
Three-character word | Reaction time | 594(95) | 570(92) |
Accuracy | 89.51(11.60) | 94.29(11.19) | |
Two-character word | Reaction time | 583(100) | 594(104) |
Accuracy | 91.67(11.00) | 91.05(12.06) |
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Skipping probability | Intercept | ?3.08 | 0.22 | ?14.18 | [?3.50, ?2.65] |
Word length | 1.16 | 0.12 | 9.54 | [0.92, 1.40] | |
Learning phase | 0.04 | 0.06 | 0.58 | [?0.09, 0.16] | |
Stroke | 0.20 | 0.06 | 3.18 | [0.08, 0.33] | |
Word length ×learning phase | 0.09 | 0.04 | 2.37 | [0.02, 0.16] | |
First fixation duration | Intercept | 5.51 | 0.02 | 285.60 | [5.47, 5.54] |
Word length | ?0.001 | 0.01 | ?0.09 | [?0.03, 0.02] | |
Learning phase | ?0.01 | 0.01 | ?2.48 | [?0.02, ?0.003] | |
Stroke | 0.03 | 0.01 | 4.83 | [0.02, 0.05] | |
Word length ×learning phase | ?0.0001 | 0.004 | ?0.02 | [?0.01, 0.01] | |
Gaze duration | Intercept | 5.78 | 0.03 | 182.92 | [5.71, 5.84] |
Word length | ?0.28 | 0.02 | ?16.42 | [?0.31, ?0.25] | |
Learning phase | ?0.04 | 0.01 | ?3.71 | [?0.07, ?0.02] | |
Stroke | 0.07 | 0.01 | 7.10 | [0.05, 0.09] | |
Word length ×learning phase | 0.02 | 0.01 | 4.42 | [0.01, 0.03] | |
Regressions in probability | Intercept | ?0.76 | 0.13 | ?5.75 | [?1.02, ?0.50] |
Word length | ?0.24 | 0.10 | ?2.41 | [?0.44, ?0.05] | |
Learning phase | ?0.23 | 0.04 | ?6.02 | [?0.30, ?0.15] | |
Stroke | 0.04 | 0.05 | 0.85 | [?0.06, 0.14] | |
Word length ×learning phase | 0.01 | 0.03 | 0.27 | [?0.05, 0.07] | |
Total fixation number | Intercept | 2.40 | 0.09 | 28.22 | [2.23, 2.57] |
Word length | ?0.55 | 0.07 | ?8.16 | [?0.69, ?0.42] | |
Learning phase | ?0.16 | 0.02 | ?6.52 | [?0.21, ?0.11] | |
Stroke | 0.10 | 0.02 | 4.26 | [0.06, 0.15] | |
Word length ×learning phase | 0.06 | 0.02 | 2.72 | [0.02, 0.10] | |
Total fixation duration | Intercept | 6.29 | 0.05 | 124.86 | [6.19, 6.39] |
Word length | ?0.38 | 0.02 | ?21.38 | [?0.42, ?0.35] | |
Learning phase | ?0.10 | 0.01 | ?6.99 | [?0.13, ?0.07] | |
Stroke | 0.11 | 0.01 | 9.77 | [0.09, 0.13] | |
Word length ×learning phase | 0.03 | 0.01 | 5.92 | [0.02, 0.04] |
Table 8 Summary of model analysis results for fixation time and proportion statistics of new words under two length conditions
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Skipping probability | Intercept | ?3.08 | 0.22 | ?14.18 | [?3.50, ?2.65] |
Word length | 1.16 | 0.12 | 9.54 | [0.92, 1.40] | |
Learning phase | 0.04 | 0.06 | 0.58 | [?0.09, 0.16] | |
Stroke | 0.20 | 0.06 | 3.18 | [0.08, 0.33] | |
Word length ×learning phase | 0.09 | 0.04 | 2.37 | [0.02, 0.16] | |
First fixation duration | Intercept | 5.51 | 0.02 | 285.60 | [5.47, 5.54] |
Word length | ?0.001 | 0.01 | ?0.09 | [?0.03, 0.02] | |
Learning phase | ?0.01 | 0.01 | ?2.48 | [?0.02, ?0.003] | |
Stroke | 0.03 | 0.01 | 4.83 | [0.02, 0.05] | |
Word length ×learning phase | ?0.0001 | 0.004 | ?0.02 | [?0.01, 0.01] | |
Gaze duration | Intercept | 5.78 | 0.03 | 182.92 | [5.71, 5.84] |
Word length | ?0.28 | 0.02 | ?16.42 | [?0.31, ?0.25] | |
Learning phase | ?0.04 | 0.01 | ?3.71 | [?0.07, ?0.02] | |
Stroke | 0.07 | 0.01 | 7.10 | [0.05, 0.09] | |
Word length ×learning phase | 0.02 | 0.01 | 4.42 | [0.01, 0.03] | |
Regressions in probability | Intercept | ?0.76 | 0.13 | ?5.75 | [?1.02, ?0.50] |
Word length | ?0.24 | 0.10 | ?2.41 | [?0.44, ?0.05] | |
Learning phase | ?0.23 | 0.04 | ?6.02 | [?0.30, ?0.15] | |
Stroke | 0.04 | 0.05 | 0.85 | [?0.06, 0.14] | |
Word length ×learning phase | 0.01 | 0.03 | 0.27 | [?0.05, 0.07] | |
Total fixation number | Intercept | 2.40 | 0.09 | 28.22 | [2.23, 2.57] |
Word length | ?0.55 | 0.07 | ?8.16 | [?0.69, ?0.42] | |
Learning phase | ?0.16 | 0.02 | ?6.52 | [?0.21, ?0.11] | |
Stroke | 0.10 | 0.02 | 4.26 | [0.06, 0.15] | |
Word length ×learning phase | 0.06 | 0.02 | 2.72 | [0.02, 0.10] | |
Total fixation duration | Intercept | 6.29 | 0.05 | 124.86 | [6.19, 6.39] |
Word length | ?0.38 | 0.02 | ?21.38 | [?0.42, ?0.35] | |
Learning phase | ?0.10 | 0.01 | ?6.99 | [?0.13, ?0.07] | |
Stroke | 0.11 | 0.01 | 9.77 | [0.09, 0.13] | |
Word length ×learning phase | 0.03 | 0.01 | 5.92 | [0.02, 0.04] |
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Incoming saccade length | Intercept | 2.62 | 0.13 | 20.79 | [2.38, 2.87] |
Word length | ?0.02 | 0.06 | ?0.35 | [?0.15, 0.10] | |
Learning phase | 0.04 | 0.06 | 0.65 | [?0.08, 0.16] | |
Stroke | 0.02 | 0.04 | 0.41 | [?0.07, 0.11] | |
Word length ×learning phase | ?0.02 | 0.02 | ?0.84 | [?0.07, 0.03] | |
Outgoing saccade length | Intercept | 2.74 | 0.13 | 21.38 | [2.49, 3.00] |
Word length | ?0.49 | 0.11 | ?4.57 | [?0.70, ?0.28] | |
Learning phase | 0.03 | 0.04 | 0.93 | [?0.04, 0.10] | |
Stroke | 0.07 | 0.06 | 1.21 | [?0.05, 0.20] | |
Word length ×learning phase | 0.06 | 0.04 | 1.50 | [?0.02, 0.13] |
Table 9 Summary of model analysis results for saccadic positioning of new words under two word length conditions
Index | Variable | b | SE | t/z | 95% CI |
---|---|---|---|---|---|
Incoming saccade length | Intercept | 2.62 | 0.13 | 20.79 | [2.38, 2.87] |
Word length | ?0.02 | 0.06 | ?0.35 | [?0.15, 0.10] | |
Learning phase | 0.04 | 0.06 | 0.65 | [?0.08, 0.16] | |
Stroke | 0.02 | 0.04 | 0.41 | [?0.07, 0.11] | |
Word length ×learning phase | ?0.02 | 0.02 | ?0.84 | [?0.07, 0.03] | |
Outgoing saccade length | Intercept | 2.74 | 0.13 | 21.38 | [2.49, 3.00] |
Word length | ?0.49 | 0.11 | ?4.57 | [?0.70, ?0.28] | |
Learning phase | 0.03 | 0.04 | 0.93 | [?0.04, 0.10] | |
Stroke | 0.07 | 0.06 | 1.21 | [?0.05, 0.20] | |
Word length ×learning phase | 0.06 | 0.04 | 1.50 | [?0.02, 0.13] |
[1] | Bates, D., Maechler, M., Bolker, B., & Walker, S. (2023). lme4: Linear mixed-effects models using ‘Eigen’ and S4. Retrieved July 4, 2023, from https://cran.r-project.org/web/packages/lme4/index.html |
[2] |
Batterink, L., & Neville, H. (2011). Implicit and explicit mechanisms of word learning in a narrative context: An event-related potential study. Journal of Cognitive Neuroscience, 23(11), 3181-3196.
doi: 10.1162/jocn_a_00013 pmid: 21452941 |
[3] | Blythe, H. I., Liang, F. F., Zang, C. L., Wang, J. X., Yan, G. L., Bai, X. J., & Liversedge, S. P. (2012). Inserting spaces into Chinese text helps readers to learn new words: An eye movement study. Journal of Memory and Language, 67(2), 241-254. |
[4] | Cai, Q., & Brysbaert, M. (2010). SUBTLEX-CH: Chinese word and character frequencies based on film subtitles. PLOS ONE, 5(6), e10729. |
[5] | Carey, S. (1978). The child as word learner. In M. Halle, J. Bresnan, & A. Miller (Eds.), Linguistic theory and psychological reality (pp. 264-293). Cambridge, MA: MIT Press. |
[6] | Clifton, C. J., Ferreira, F., Henderson, J. M., Inhoff, A. W., Liversedge, S. P., Reichle, E. D., & Schotter, E. R. (2016). Eye movements in reading and information processing: Keith Rayner’s 40 year legacy. Journal of Memory and Language, 86, 1-19. |
[7] | Danks, D. (2014). Unifying the mind: Cognitive representations as graphical models. MIT Press, |
[8] | Deng, Y. C., & Feng, Z. W. (2013). A quantitative linguistic study on the relationship between word length and word frequency. Journal of Foreign Languages, 36(3), 29-39. |
[9] | Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E. J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16, 1026-1036. |
[10] |
Engbert, R., Nuthmann, A., Richter, E. M., & Kliegl, R. (2005). SWIFT: A dynamical model of saccade generation during reading. Psychological Review, 112(4), 777-813.
pmid: 16262468 |
[11] | Ginestet, E., Shadbolt, J., Tucker, R., Bosse, M. L., & Deacon, S. H. (2021). Orthographic learning and transfer of complex words: Insights from eye tracking during reading and learning tasks. Journal of Research in Reading, 44(1), 51-69. |
[12] | Gan, H. M. (2010). The effect of word-class on incidental vocabulary learning. Chinese Language Learning, (3), 105-112. |
[13] |
Hautala, J., Hyönä, J., & Aro, M. (2011). Dissociating spatial and letter-based word length effects observed in readers’ eye movement patterns. Vision Research, 51(15), 1719-1727.
doi: 10.1016/j.visres.2011.05.015 pmid: 21664920 |
[14] | Hyönä, J., Pollatsek, A., Koski, M., & Olkoniemi, H. (2020). An eye-tracking study of reading long and short novel and lexicalized compound words. Journal of Eye Movement Research. 13(4), 1-18. |
[15] | Inhoff, A. W., Radach, R., Eiter, B. M., & Juhasz, B. (2003). Distinct subsystems for the parafoveal processing of spatial and linguistic information during eye fixations in reading. The Quarterly Journal of Experimental Psychology Section A, 56(5), 803-827. |
[16] | Jiang, N., Hou, F. Y., & Jiang, X. (2020). Analytic versus holistic recognition of Chinese words among L2 learners. The Modern Language Journal, 104(3), 567-580. |
[17] |
Joseph, H. S., Wonnacott, E., Forbes, P., & Nation, K. (2014). Becoming a written word: Eye movements reveal order of acquisition effects following incidental exposure to new words during silent reading. Cognition, 133(1), 238-248.
doi: 10.1016/j.cognition.2014.06.015 pmid: 25058413 |
[18] |
Joseph, H., & Nation, K. (2018). Examining incidental word learning during reading in children: The role of context. Journal of Experimental Child Psychology, 166, 190-211.
doi: S0022-0965(16)30239-9 pmid: 28942127 |
[19] | Korochkina, M., Bürki, A., & Nickels, L. (2021). Apples and oranges: How does learning context affect novel word learning? Journal of Memory and Language, 120, 104246. |
[20] | Kuperman, V., Schroeder, S., & Gnetov, D. (2024). Word length and frequency effects on text reading are highly similar in 12 alphabetic languages. Journal of Memory and Language, 135, 104497. |
[21] |
Li, L., Wang, H. C., Castles, A., Hsieh, M. L., & Marinus, E. (2018). Phonetic radicals, not phonological coding systems, support orthographic learning via self-teaching in Chinese. Cognition, 176, 184-194.
doi: S0010-0277(18)30061-1 pmid: 29573645 |
[22] | Li, X. S., Huang, L. J. Q., Yao, P. P., & Hyönä, J. (2022). Universal and specific reading mechanisms across different writing systems. Nature Reviews Psychology, 1, 133-144. |
[23] | Li, X. S., & Pollatsek, A. (2020). An integrated model of word processing and eye-movement control during Chinese reading. Psychological Review, 127(6), 1139-1162. |
[24] | Li, Y., Li, H., & Wang, M. (2020). The roles of phonological recoding, semantic radicals and writing practice in orthographic learning in Chinese. Scientific Studies of Reading, 24(3), 252-263. |
[25] | Liang, F. F., Blythe, H. I., Zang, C. L., Bai, X. J., Yan, G. L., & Liversedge, S. P. (2015). Positional character frequency and word spacing facilitate the acquisition of novel words during Chinese children's reading. Journal of Cognitive Psychology, 27(5), 594-608. |
[26] | Liang, F. F., Blythe, H. I., Bai, X. J., Yan, G. L., Li, X., Zang, C. L., & Liversedge, S. P. (2017). The role of character positional frequency on Chinese word learning during natural reading. PLOS ONE, 12(11), e0187656. |
[27] |
Liang, F. F., Ma, J., Li, X., Lian, K. Y., Tan, K., & Bai, X. J. (2019). Saccadic targeting deficits of Chinese children with developmental dyslexia: Evidence from novel word learning in reading. Acta Psychologica Sinica, 51(7), 805-815.
doi: 10.3724/SP.J.1041.2019.00805 |
[28] | Liang, F. F., Ma, J., Bai, X. J., & Liversedge, S. P. (2021). Initial landing position effects on Chinese word learning in children and adults. Journal of Memory and Language, 116(1), 104183. |
[29] | Liang, F. F., Gao, Q., Li, X., Wang, Y. S., Bai, X. J., & Liversedge, S. P. (2023). The importance of the positional probability of word final (but not word initial) characters for word segmentation and identification in children and adults' natural Chinese reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 49(1), 98-115. |
[30] |
Liang, F. F., Feng, L. L., Liu, Y., Li, X., & Bai, X. J. (2024). Different roles of initial and final character positional probabilities on incidental word learning during Chinese reading. Acta Psychologica Sinica, 56(3), 281-294.
doi: 10.3724/SP.J.1041.2024.00281 |
[31] | Liu, L. Y., & Chi, X. (2022). Status quo of orthographic knowledge researches in Chinese dyslexia children. Journal of Bio-education, 10(1), 1-5. |
[32] | Liversedge, S. P., Zang, C. L., Zhang, M. M., Bai, X. J., Yan, G. L., & Drieghe, D. (2014). The effect of visual complexity and word frequency on eye movements during Chinese reading. Visual Cognition, 22(3-4), 441-457. |
[33] |
Loberg, O., Hautala, J., Hämäläinen, J. A., & Leppänen, P. H. T. (2019). Influence of reading skill and word length on fixation-related brain activity in school-aged children during natural reading. Vision Research, 165, 109-122.
doi: S0042-6989(19)30186-5 pmid: 31710840 |
[34] | Ma, G. J., & Li, X. S. (2015). How character complexity modulates eye movement control in Chinese reading. Reading and Writing, 28, 747-761. |
[35] |
Miellet, S., O'Donnell, P. J., & Sereno, S. C. (2009). Parafoveal magnification: Visual acuity does not modulate the perceptual span in reading. Psychological Science, 20(6), 721-728.
doi: 10.1111/j.1467-9280.2009.02364.x pmid: 19470124 |
[36] | Peng, D. L., & Wang, C. M. (1997). Basic processing unit of Chinese recognition: Evidence from stroke number effect and radical number effect. Acta Psychologica Sinica, 29(1), 9-17. |
[37] |
Rayner, K., Slattery, T. J., Drieghe, D., & Liversedge, S. P. (2011). Eye movements and word skipping during reading: Effects of word length and predictability. Journal of Experimental Psychology: Human Perception and Performance, 37(2), 514-528.
doi: 10.1037/a0020990 pmid: 21463086 |
[38] |
Reichle, E. D., Liversedge, S. P., Drieghe, D., Blythe, H. I., Joseph, H. S., White, S. J., & Rayner, K. (2013). Using E-Z Reader to examine the concurrent development of eye-movement control and reading skill. Developmental Review, 33(2), 110-149.
pmid: 24058229 |
[39] | Reichle, E. D., & Perfetti, C. A. (2003). Morphology in word identification: A word-experience model that accounts for morpheme frequency effects. Scientific Studies of Reading, 7(3), 219-237. |
[40] | Reichle, E. D., Warren, T., & McConnell, K. (2009). Using E-Z Reader to model the effects of higher level language processing on eye movements during reading. Psychonomic Bulletin & Review, 16(1), 1-21. |
[41] | R Development Core Team. (2016). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/ |
[42] | Sheridan, H., Rayner, K., & Reingold, E. M. (2013). Unsegmented text delays word identification: Evidence from a survival analysis of fixation durations. Visual Cognition, 21(1), 38-60. |
[43] |
Siegelman, N., Schroeder, S., Acartürk, C., Ahn, H. D., Alexeeva, S., Amenta, S.,... Kuperman, V. (2022). Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO). Behavior Research Methods, 54(6), 2843-2863.
doi: 10.3758/s13428-021-01772-6 pmid: 35112286 |
[44] |
Snell, J., van Leipsig, S., Grainger, J., & Meeter, M. (2018). OB1-reader: A model of word recognition and eye movements in text reading. Psychological Review, 125(6), 969-984.
doi: 10.1037/rev0000119 pmid: 30080066 |
[45] | Stafura, J. Z., & Perfetti, C. A. (2017). Integrating word processing with text comprehension. Theories of Reading Development, 9-32. |
[46] | Song, X. N., Xu, X. C., Yang, X. L., Sun, G. L., & Cui, L. (2022). The influence of predictability, word frequency and stroke number on Chinese word recognition: An eye movement study. Journal of Psychological Science, 45(5), 1061-1068. |
[47] | Tong, W., Ren, M. X., Liu, Z. F., & Feng, X. (2020). The effect of word length on saccade target selection in Chinese reading: Eye movement evidence. Studies of Psychology and Behavior, 18(2), 168-175. |
[48] | Tse, C., & Yap, M. J. (2018). The role of lexical variables in the visual recognition of two-character Chinese compound words: A megastudy analysis. Quarterly Journal of Experimental Psychology, 71(9), 2022-2038. |
[49] | Yan, G. L., & Bai, X. J. (2007). Eye movement studies of Chinese reading. Studies of Psychology and Behavior, 5(3), 229-234. |
[50] | Yang, F., Bermúdez-Margaretto, B., Beltrán, D., Wang, H. L., & Dominguez, A. (2024). Language proficiency modulates L2 orthographic learning mechanism: Evidence from event-related brain potentials in overt naming. Studies in Second Language Acquisition, 46(1), 119-140. |
[51] | Yang, H., Fan, L., & Yin, H. S. (2023). Knowledge mapping of the research on lexical inferencing: A bibliometric analysis. Frontiers in Psychology, 14, 1101241. |
[52] | Zang, C. L., Meng, H. X., Yan, G. L., & Bai, X. J. (2013). Advances in landing position effect during reading. Journal of Psychological Science, 36(4), 770-775. |
[53] |
Zang, C. L., Fu, Y., Bai, X. J, Yan, G. L., & Liversedge, S. P. (2018). Investigating word length effects in Chinese reading. Journal of Experimental Psychology: Human Perception and Performance, 44(12), 1831-1841.
doi: 10.1037/xhp0000589 pmid: 30475051 |
[54] | Zhang, M. C., Ding, J. F., Li, X. S., & Yang, Y. F. (2019). The impact of variety of episodic contexts on the integration of novel words into semantic network. Language Cognition and Neuroscience, 34(2), 214-238. |
[55] | Zhang, M. M., Zang, C. L., Bai, X. J., & Yan, G. L. (2020). Which plays a dominant role on word skipping: Context information or parafoveal preview? Journal of Psychological Science, 43(5), 1058-1064. |
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