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引文資料
題名:
反向對抗邏輯範式的創立與證實--人工語法PDP對抗邏輯的改進
書刊名:
心理學報
作者:
張劍心
/
湯旦
/
李瑩麗
/
劉電芝
作者(外文):
Zhang, Jian-xin
/
Tang, Dan
/
Li, Ying-li
/
Liu, Dian-zhi
出版日期:
2016
卷期:
2016(9)
頁次:
1130-1142
主題關鍵詞:
形式相似性
;
受控反應
;
自動反應
;
否定標簽
;
反向對抗邏輯範式
;
Facial similarity
;
Controlled response
;
Automatic response
;
Negative label
;
Anti-opposition logic paradigm
原始連結:
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相關次數:
被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
排除自我引用:0
共同引用:0
點閱:4
人工語法對抗邏輯范式不能排除相似性和辨別力,導致自動反應不純粹甚至虛假或無法檢測到。本研究創立反向對抗邏輯范式,采用單因素(相容/對抗條件)被試間設計:內隱學習階段將肯定標簽與語法A綁定,否定標簽與語法B綁定;測量階段相容條件組對語法A和B做與學習階段一致的判斷,對抗條件組對語法B做與學習階段對抗的肯定判斷。實驗證明:(1)外顯否定標簽可與語法B綁定學習而獲得自動化特征,產生內隱聯結自動化。(2)內隱否定知識比肯定知識更自動,知識從肯定轉為否定易,從否定轉為肯定難。(3)反向對抗邏輯范式能有效檢測到自動反應,不受語法間形式相似性和辨別力影響。(4)首次析出高概率判斷偏向效應,得到純粹受控反應。
以文找文
Dienes, Altmann, Kwan, & Goode(1995) for the first time used opposition logic of PDP in artificial grammar paradigm. They strictly match facial similarity among two sets of grammar and illegal strings, but found no automatic response. We speculated that facial similarity might lead to a great discrimination on two sets of grammar in learning phase, make their implicit knowledge in the measurement phase able to comply with explicit task requirements, and disguise the automatic response. Higham, Vokey, & Pritchard(2000) also used opposition logic of PDP in artificial grammar paradigm, and successfully discovered controlled and automatic response for the first time. However they only matched facial similarity between two sets of grammar but not among them and illegal strings, which lead to detect false automatic response caused by facial similarity rather than real automatic response caused by implicit knowledge, therefore their experiment was questioned by many researchers. So when the opposition logic paradigm in artificial grammar was born, it had so many defects that it couldn’t be further developed and couldn’t be widely used in artificial grammar paradigm. But if we make success of the opposition logic paradigm, it could be used to quantitatively detect controlled and automatic responses in artificial grammar learning, which might push reaserch of objective consciousness improving much. Therefore the present study attempts to solve the defects of it. The present study used single factor(experimental conditions: in-concert condition and opposition condition) design between subjects, and divided the participants into two groups: in-concert condition group and opposition condition group. The experimental materials were the same as Dienes, et al(1995)’s. But we bound negative label and grammar B together into implicit learning, and created an anti-opposition logic paradigm. In learning phase participants were asked to implicitly learn grammar A, but learn grammar B as illegal. In measurement phase participants under in-concert condition were asked to judge new strings following grammar A as legal, judge new strings similar to grammar B as illegal, and judge real chaotic illegal strings U as illegal; participants under opposition condition were asked to judge new strings following grammar A and B as legal, and judge only real chaotic illegal strings U as illegal. So under opposition condition, if participants were still unable to comply with explicit task requirements, and automatically judged new strings following grammar B as illegal(higher than baseline), then it showed that there was automatic response! So the difference between rejection rate(judgment for illegal) of grammar B under in-concert condition and under opposition condition was controlled response. Because rate of judging new strings as illegal under in-concert condition was two-thirds, and rate of judging new strings as legal under opposition condition was also two-thirds, in the two groups there was high probability bias effect which would lead any new string to be more judged as high probability judgment. The present study successfully calculated it as Pr = 0.13, and ruled it out. Then we made independent samples t test and found Bhit-Pr under in-concert condition(0.68 ± 0.18) was significantly greater than Bmiss+Pr under opposition condition(0.48 ± 0.13), t(40) = 4.46, p < 0.01, d = 1.274. Therefore we got the controlled response was 0.20. This proved that when we completely ruled out the impact of high probability judgment bias effect in statistics, the result showed that participants could indeed comply with explicit task requirements to explicitly control part of their knowledge under opposition condition. For testing automatic response, we made ANOVA for repeated measurement on A- miss- op, B- miss- op and U- hit – op under opposition condition and found there was a significant model main effect, F(2, 23) = 3.03, p < 0.01, η2 = 0.209, and a significant group main effect, F(2, 23) = 35.39, p < 0.01, η2 = 0.755. We further made a simple effect analysis for three groups, and found that Bmiss(0.35) was significantly greater than Amiss(0.18) under opposition condition, F(1, 23) = 3.91, p < 0.01, η2 = 0.145. The difference was 0.17 which was the evidence of automatic response: Although participants’ controlled response tried to agree with new strings following grammar B, but compared with the grammar A, participants would unconsciously and automatically refused more new strings following grammar B. We also did Pearson correlation between recognition discrimination Disc AB and automatic response Auto R and found no significant correlation, r = 0.32, p > 0.05, which proved that discrimination was not related with automatic response. The results showed that a negative label could be implicitly acquired by bonding with a set of implicit grammar, suggesting a new way by which explicit knowledge could be converted into automatic knowledge. Moreover, negative implicit knowledge was found to be more resistant to conscious control than a positive one(i.e., an implicit label could be easily converted from positive to negative, but difficult visa versa). Compared with the traditional opposition logic paradigm, the anti-opposition logic paradigm created in the present study was more effective in measuring pure automatic response by excluding the confounding influences of facial similarity of test items and participants’ ability to differentiate test items in different categories. And by removing the high probability bias effect in statistics, the present study detectived pure controlled response.
以文找文
期刊論文
1.
Yonelinas, A. P.(2002)。The nature of recollection and familiarity: A review of 30 years of research。Journal of Memory and Language,46(3),441-517。
2.
張潤來、劉電芝(2014)。人工語法學習中意識加工的漸進發展。心理學報,46(11),1649-1660。
延伸查詢
3.
Destrebecqz, A.、Cleeremans, A.(2001)。Can sequence learning be implicit? New evidence with the process dissociation procedure。Psychonomic Bulletin & Review,8(2),343-350。
4.
Fu, Q. F.、Dienes, Z.、Fu, X. L.(2010)。Can unconscious knowledge allow control in sequence learning?。Consciousness and Cognition,19(1),462-474。
5.
Jacoby, L. L.(1991)。A process dissociation framework: Separating automatic from intentional uses of memory。Journal of Memory and Language,30(5),513-541。
6.
Jacoby, L. L.、Woloshyn, V.、Kelley, C. M.(1989)。Becoming famous without being recognized: Unconscious influences of memory produced by dividing attention。Journal of Experimental Psychology: General,118(2),115-125。
7.
Nosofsky, Robert M.(1988)。Similarity, frequency, and category representations。Journal of Experimental Psychology: Learning, Memory, and Cognition,14(1),54-65。
8.
Dienes, Z.、Scott, R.(2005)。Measuring unconscious knowledge: Distinguishing structural knowledge and judgment knowledge。Psychological Research,69,338-351。
9.
Cohen, J. R.、Poldrack, R. A.(2008)。Automaticity in motor sequence learning does not impair response inhibition。Psychonomic Bulletin & Review,15,108-115。
10.
Dienes, Z.、Altmann, G. T. M.、Kwan, L.、Goode, A.(1995)。Unconscious knowledge of artificial grammars is applied strategically。Journal of Experimental Psychology: Learning, Memory, and Cognition,21,1322-1338。
11.
Higham, P. A.、Vokey, J. R.(2000)。The controlled application of a strategy can still produce automatic effects: Reply to Redington (2000)。Journal of Experimental Psychology: General,129,476-480。
12.
Higham, P. A.、Vokey, J. R.、Pritchard, J. L.(2000)。Beyond dissociation logic: Evidence for controlled and automatic influences in artificial grammar learning。Journal of Experimental Psychology: General,129,457-470。
13.
Horga, G.、Maia, T. V.(2012)。Conscious and unconscious processes in cognitive control: A theoretical perspective and a novel empirical approach。Frontiers in Human Neuroscience,6,199。
14.
Jiménez, L.、Méndez, C.、Cleeremans, A.(1996)。Comparing direct and indirect measures of sequence learning。Journal of Experimental Psychology: Learning, Memory, and Cognition,22,948-969。
15.
Kiefer, M.(2012)。Executive control over unconscious cognition: Attentional sensitization of unconscious information processing。Frontiers in Human Neuroscience,6,61-72。
16.
Mong, H.、McCabe, D. P.、Clegg, B.(2012)。Evidence of automatic processing in sequence learning using process-dissociation。Advances in Cognitive Psychology,8(2),98-108。
17.
Norman, E.、Price, M. C.、Jones, E.(2011)。Measuring strategic control in artificial grammar learning。Consciousness and Cognition,20,1920-1929。
18.
Nosofsky, R. M.、Zaki, S. R.(1998)。Dissociations between categorization and recognition in amnesic and normal individuals: An exemplar-based interpretation。Psychological Science,9,247-255。
19.
Pothos, E. M.(2005)。The rules versus similarity distinction。Behavioral and Brain Sciences,28,1-14。
20.
Pothos, E. M.(2007)。Theories of Artificial Grammar Learning。Psychological Bulletin,133,227-244。
21.
Redington, M.(2000)。Not evidence for separable controlled and automatic influences in artificial grammar learning: Comment on Higham, Vokey, and Pritchard (2000)。Journal of Experimental Psychology: General,129,471-475。
22.
Reingold, E. M.、Merikle, P. M.(1988)。Using direct and indirect measures to study perception without awareness。Perception & Psychophysics,44(6),563-575。
23.
Soetens, E.、Melis, A.、Notebaert, W.(2004)。Sequence learning and sequential effects。Psychological Research,69,124-137。
24.
Tunney, R. J.、Shanks, D. R.(2003)。Does opposition logic provide evidence for conscious and unconscious processes in artificial grammar learning?。Consciousness and Cognition,12,201-218。
25.
Vokeya, J. R.、Higham, P. A.(2004)。Opposition logic and neural network models in artificial grammar learning。Consciousness and Cognition,13,565-578。
26.
Wan, L. L.、Dienes, Z.、Fu, X. L.(2008)。Intentional control based on familiarity in artificial grammar learning。Consciousness and Cognition,17,1209-1218。
27.
Wilder, D. A.、Simon, A. F.、Faith, M.(1996)。Enhancing the impact of counterstereotypic information: Dispositional attributions for deviance。Journal of Personality and Social Psychology,71,276-287。
圖書
1.
Johansson, T.(2008)。Knowledge representation, heuristics, and awareness in artificial grammar learning。Lund:KFS in Lund AB。
圖書論文
1.
Cleeremans, A.、Jiménez, L.(2002)。Implicit learning and consciousness: A graded, dynamic perspective。Implicit learning and consciousness: An empirical, philosophical and computational consensus in the making?。Hove:Psychology Press。
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