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Acta Psychologica Sinica    2018, Vol. 50 Issue (6) : 583-591     DOI: 10.3724/SP.J.1041.2018.00583
Reports of Empirical Studies |
Positive effect of intuitive processing is modulated by cognitive resources under different levels of consciousness
Tingting YU1,Yue YIN1,Shu WANG1,Shujin ZHOU1,Xiaochen TANG2,Junlong LUO1()
1 Department of Psychology, College of Education, Shanghai Normal University, Shanghai 200234, China
2 Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
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It was argued that thinking is characterized by the action of two distinctive cognitive systems, namely, intuitive (Type 1) processing and analytic (Type 2) processing. Intuitive processing is generally described as rapid, automatic, unconscious, and effortless, whereas analytic processing appears to be slow, controlled, conscious, and effortful. Decades of research have established that human judgment is often predisposed to rapid, intuitive processing. However, recent research has indicated that intuitive processing can support reasoning and even enhance it under certain conditions. Recent findings have suggested that intuitive processing should be as affected by cognitive resources and consciousness as analytic processing. However, intuitive and analytic processing will interfere with one another through a series of classical paradigms in which the results of two distinctive cognitive systems are in conflict. To avoid this interference, the present study applied the Chinese character chunking decomposition task, predicting that intuitive processing positively affect problem solving, but that it would disappear under conditions wherein cognitive resources were extremely scarce.

In the present research, we first drew up the Chinese character chunking decomposition task as materials, and participants were asked to judge whether the target character (e.g., “又”) was a component of the original character (e.g., “支”). Then, the formal experiment was organized into a 2 × 2 × 2 within-subject design. The first variable was the duration time of the target character, consisting of 2 levels: 24 ms and 200 ms; the second variable was the material category, consisting of 2 levels: intuitive material and analytic material; and the third variable was the inclusion relation, consisting of 2 levels: inclusion and exclusion. The inclusion condition meant that the target character was a component of the original character, whereas the exclusion condition denoted that the target character was not a component of the original character.

The results indicated that participants showed a lower rate of accuracy and a longer response time on analytic materials than on intuitive ones. However, no difference was observed between the two types of materials in terms of response time and accuracy when the duration time of the target character was 24 ms, and the inclusion relation was inclusion. Meanwhile, the accuracy scores of intuitive and analytic processing were approximately 0.5 at the guessing level. Signal detection analysis showed that the results under the unconsciousness condition were not influenced by the response bias.

The results proved that intuitive processing was rapid and analytic processing was slow. As predicted, intuitive processing positively affects the problem solving process. In addition, the experiment showed that intuitive processing was effortful and relied on cognitive resources, which was inconsistent with prototypical dual-process theories. Therefore, the positive effect would disappear when the cognitive resources were below demand.

Keywords level of consciousness      cognitive resource      intuitive processing      analytic processing.     
:  B842  
Corresponding Authors: Junlong LUO     E-mail:
Issue Date: 28 April 2018
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Tingting YU, Yue YIN, Shu WANG, Shujin ZHOU, Xiaochen TANG, Junlong LUO. Positive effect of intuitive processing is modulated by cognitive resources under different levels of consciousness[J]. Acta Psychologica Sinica,2018, 50(6): 583-591.
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[1] Bago, B., Li Qiao, De Neys , W. ( 2017). Fast logic?: Examining the time course assumption of dual process theory. Cognition, 158, 90-109.
[2] Bonner C., & Newell B. R . ( 2010). In conflict with ourselves? An investigation of heuristic and analytic processes in decision making. Memory & Cognition, 38, 186-196.
[3] De Neys , W. ( 2012). Bias and conflict: A case for logical intuitions. Perspectives on Psychological Science, 7(1), 28-38.
[4] De Neys , W. ( 2014). Conflict detection, dual processes, and logical intuitions: Some clarifications. Thinking & Reasoning, 20(2), 169-187.
[5] De Neys W., & Bonnefon J. F . ( 2013). The ‘whys’ and ‘whens’ of individual differences in thinking biases. Trends in Cognitive Sciences, 17, 172-178.
[6] De Neys W., & Feremans V . ( 2013). Development of heuristic bias detection in elementary school. Developmental Psychology, 49(2), 258-269.
[7] De Neys W., & Franssens S . ( 2009). Belief inhibition during thinking: Not always winning but at least taking part. Cognition, 113, 45-61.
[8] De Neys W., Moyens E., & Vansteenwegen D . ( 2010). Feeling we’re biased: Autonomic arousal and reasoning conflict. Cognitive, Affective, & Behavioral Neuroscience, 10, 208-216.
[9] De Neys W., Rossi S., & Houdé O . ( 2013). Bats, balls, and substitution sensitivity: Cognitive misers are no happy fools. Psychonomic Bulletin & Review, 20, 269-273.
[10] Evans, J. St. B. T . ( 2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59, 255-278.
[11] Evans, J. St. B. T . ( 2012). Spot the difference: Distinguishing between two kinds of processing. Mind & Society, 11, 121-131.
[12] Evans J. St. B. T., & Curtis-Holmes J . ( 2005). Rapid responding increases belief bias: Evidence for the dual-process theory of reasoning. Thinking & Reasoning, 11(4), 382-389.
[13] Evans J. St. B. T., Handley S. J., & Bacon A. M . ( 2009). Reasoning under time pressure: A study of causal conditional inference. Experimental Psychology, 56, 77-83.
[14] Evans J. St. B. T., & Stanovich K. E . ( 2013). Dual process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8, 223-241.
[15] Gobet F., Lane P. C. R., Croker S., Cheng P. C.-H., Jones G., Oliver I., & Pine J. M . ( 2001). Chunking mechanisms in human learning. Trends in Cognitive Sciences, 5(6), 236-243.
[16] Gobet F., Lloyd-Kelly M., & Lane P. C. R . ( 2016). What's in a name? The multiple meanings of "chunk" and "chunking". Frontiers in Psychology, 7, 102.
[17] Handley S. J., Newstead S. E., & Trippas D . ( 2011). Logic, beliefs, and instruction: A test of the default interventionist account of belief bias. Journal of Experimental Psychology: Learning, Memory,and Cognition, 37, 28-43.
[18] Handley S. J., & Trippas D . ( 2015). Dual processes and the interplay between knowledge and structure: A new parallel processing model. Psychology of Learning and Motivation, 62, 33-58.
[19] Howarth S., Handley S. J., & Walsh C . ( 2016). The logic-bias effect: The role of effortful processing in the resolution of belief-logic conflict. Memory & Cognition, 44, 330-349.
[20] Johnson E. D., Tubau E., & De Neys W . ( 2016). The doubting system 1: Evidence for automatic substitution sensitivity. Acta Psychologica, 164, 56-64.
[21] Kruglanski A. W., & Gigerenzer G . ( 2011). Intuitive and deliberate judgments are based on common principles. Psychological Review, 118(1), 97-109.
[22] Luo J., Niki K., & Knoblich G . ( 2006). Perceptual contributions to problem solving: Chunk decomposition of Chinese characters. Brain Research Bulletin, 70, 430-443.
[23] Mevel K., Poirel N., Rossi S., Cassotti M., Simon G., Houdé O., & De Neys W . ( 2015). Bias detection: Response confidence evidence for conflict sensitivity in the ratio bias task. Journal of Cognitive Psychology, 27, 227-237.
[24] Pennycook G., Cheyne, J. A. Koehler, D. J., & Fugelsang J. A . ( 2013). Belief bias during reasoning among religious believers and skeptics. Psychonomic Bulletin and Review, 20, 806-811.
[25] Pennycook G., Fugelsang J. A., & Koehler D. J . ( 2015). What makes us think? A three-stage dual-process model of analytic engagement. Cognitive Psychology, 80, 34-72.
[26] Pennycook G., Trippas D ., Handley, S. J. & Thompson, V. A. ( 2014). Base rates: Both neglected and intuitive. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(2), 544-554.
[27] Shen M. W., Gao T., & Ding H. J . ( 2004). A study of Chinese and Arabic numerals' subliminal priming effects. Psychological Science, 27(1), 13-17.
[27] [ 沈模卫, 高涛, 丁海杰 . ( 2004). 汉字数字与阿拉伯数字的阈下启动研究. 心理科学, 27(1), 13-17.]
[28] Shui R. D., Ding H. J., & Shen M. W . ( 2003). Unconscious mechanisms of Chinese characters in subliminal semantic activation. Psychological Science, 26(6), 1025-1029.
[28] [ 水仁德, 丁海杰, 沈模卫 . ( 2003). 汉语阈下语义启动无意识机制研究. 心理科学, 26(6), 1025-1029.]
[29] Shui R. D., & Liu A. L . ( 1996). Coding effects on retrieving Chinese characters from short-term memory. Chinese Journal of Applied Psychology, 2(1), 59-63.
[29] [ 水仁德, 刘爱伦 . ( 1996). 编码方式对汉字短时记忆提取的影响. 应用心理学, 2(1), 59-63.]
[30] Tang X. C., Pang J. Y., Nie Q.-Y., Conci M., Luo J. L., & Luo J . ( 2016). Probing the cognitive mechanism of mental representational change during chunk decomposition: A parametric fMRI study. Cerebral Cortex, 26(7), 2991-2999.
[31] Thompson, V. A . ( 2013). Why it matters: The implications of autonomous processes for dual-process theories: Commentary on Evans & Stanovich (2013). Perspectives on Psychological Science, 8, 253-256.
[32] Thompson V. A., Evans J. St. B. T., & Campbell J. I. D . ( 2013). Matching bias on the selection task: It’s fast and feels good. Thinking & Reasoning, 19, 431-452.
[33] Thompson V. A., Prowse Turner J. A., & Pennycook G . ( 2011). Intuition, reason, and metacognition. Cognitive Psychology, 63, 107-140.
[34] Thompson V. A., Prowse Turner J., Pennycook G., Ball L. J., Brack H., Ophir Y., & Ackerman R . ( 2013). The role of answer fluency and perceptual fluency as metacognitive cues for initiating analytic thinking. Cognition, 128, 237-251.
[35] Trippas D., Thompson V. A., & Handley S. J . ( 2017). When fast logic meets slow belief: Evidence for a parallel-processing model of belief bias. Memory & Cognition, 45, 539-552.
[36] Trippas D., Verde M. F., & Handley S. J . ( 2014). Using forced choice to test belief bias in syllogistic reasoning. Cognition, 133(3), 586-600.
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