基于先前选择经验的注意偏向——一种自下而上的注意加工机制
Attentional Bias Based on Previous Selection Experience—A Bottom-Up Attention Processing Mechanism
摘要: 经典的注意理论将注意控制划分为自上而下和自下而上的注意加工。近年来,有研究者提出这种划分不足以解释所有的注意现象,尤其是关于启动和奖赏驱动注意的研究发现。相应地,学者们提出将基于启动和奖赏学习等先前经验产生的注意偏向统称为“选择历史”,并主张将其作为第三种注意控制方式来解决这个问题。当前新的注意控制理论的提出引发了研究者们广泛的争议。在考虑了基于选择历史的注意偏向的发生特点和对刺激凸显性概念的重新思考的基础上,本文提出选择历史的注意偏向应该属于自下而上的注意加工,并讨论了未来验证这种假设的研究展望。
Abstract: All classical theories of attentional control have described attentional selection as the result of the interaction between bottom-up and top-down control. Recently, some researchers have proposed that the above mentioned dichotomy of attention control is insufficient to explain all attention phenomena, especially the findings related to priming and reward-driven attention. Accordingly, scholars have proposed to call attention bias based on previous experiences such as priming and rewarding learning as “selection history” collectively, and proposed to treat it as the third category of attention control to solve this problem. The new attention control theory has aroused controversy among researchers. Considering the characteristics of attentional bias caused by selection history and rethinking the concept of stimulus salience, this paper proposed that the attention bias caused by selection history should belong to the bottom-up attention processing. Finally, we discussed the future research prospects for the confirmation of this viewpoint.
文章引用:许珍珍 (2019). 基于先前选择经验的注意偏向——一种自下而上的注意加工机制. 心理学进展, 9(3), 405-412. https://doi.org/10.12677/AP.2019.93049

参考文献

[1] Anderson, B. A., & Yantis, S. (2013). Persistence of Value-Driven Attentional Capture. Journal of Experimental Psychology: Human Perception and Performance, 39, 6-9.[CrossRef] [PubMed]
[2] Anderson, B. A., Laurent, P. A., & Yantis, S. (2011). Value-Driven Attentional Capture. Proceedings of the National Academy of Sciences of the United States of America, 108, 10367-10371.[CrossRef] [PubMed]
[3] Anderson, B. A., Laurent, P. A., & Yantis, S. (2014). Value-Driven Attentional Priority Signals in Human Basal Ganglia and Visual Cortex. Brain Research, 1587, 88-96.[CrossRef] [PubMed]
[4] Ansorge, U., Horstmann, G., & Scharlau, I. (2010). Top-Down Contingent Attentional Capture during Feed-Forward Visual Processing. Acta Psychologica, 135, 123-126.[CrossRef] [PubMed]
[5] Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-Down versus Bottom-Up Attentional Control: A Failed Theoretical Dichotomy. Trends in Cognitive Sciences, 16, 437-443.[CrossRef] [PubMed]
[6] Bichot, N. P., & Schall, J. D. (2002). Priming in Macaque Frontal Cortex during Popout Visual Search: Feature-Based Facilitation and Location-Based Inhibition of Return. Journal of Neuroscience, 22, 4675-4685.[CrossRef
[7] Bisley, J. W. (2011). The Neural Basis of Visual Attention. Journal of Physiology, 589, 49-57.[CrossRef] [PubMed]
[8] Bucker, B., & Theeuwes, J. (2017). Pavlovian Reward Learning Underlies Value Driven Attentional Capture. Attention, Perception, & Psychophysics, 79, 415-428.[CrossRef] [PubMed]
[9] Chelazzi, L., & Santandrea, E. (2018). The Time Constant of Attentional Control: Short, Medium and Long (Infinite?). Journal of Cognition, 1, 27.[CrossRef] [PubMed]
[10] Corbetta, M., & Shulman, G. L. (2002). Control of Goal-Directed and Stimu-lus-Driven Attention in the Brain. Nature Reviews Neuroscience, 3, 201.[CrossRef] [PubMed]
[11] Desimone, R. (1996). Neural Mechanisms for Visual Memory and Their Role in Attention. Proceedings of the National Academy of Sciences of the United States of America, 93, 13494-13499.[CrossRef] [PubMed]
[12] Egeth, H. (2018). Comment on Theeuwes’s Characterization of Visual Selection. Journal of Cognition, 1, 26.[CrossRef] [PubMed]
[13] Failing, M., & Theeuwes, J. (2017). Selection History: How Reward Modulates Selectivity of Visual Attention. Psychonomic Bulletin & Review, 25, 514-538.
[14] Gaspelin, N., & Luck, S. J. (2018). “Top-Down” Does Not Mean “Voluntary”. Journal of Cognition, 1, 25.[CrossRef] [PubMed]
[15] Hickey, C., & Peelen, M. V. (2015). Neural Mechanisms of Incentive Salience in Naturalistic Human Vision. Neuron, 85, 512-518.[CrossRef] [PubMed]
[16] Hickey, C., Chelazzi, L., & Theeuwes, J. (2010). Reward Changes Salience in Human Vision via the Anterior Cingulate. Journal of Neuroscience, 30, 11096-11103.[CrossRef
[17] Hickey, C., Chelazzi, L., & Theeuwes, J. (2011). Reward Has a Residual Impact on Target Selection in Visual Search, But Not on the Suppression of Distractors. Visual Cognition, 19, 117-128.[CrossRef
[18] Hickey, C., Kaiser, D., & Peelen, M. V. (2015). Reward Guides Attention to Object Categories in Real-World Scenes. Journal of Experimental Psychology: General, 144, 264-273.[CrossRef] [PubMed]
[19] Itti, L., & Koch, C. (2001). Computational Modelling of Visual Attention. Nature Reviews Neuroscience, 2, 194-203.[CrossRef] [PubMed]
[20] Kristjánsson, á. (2010). Priming in Visual Search: A Spanner in the Works for Theeuwes's Bottom-Up Attention Sweeps? Acta Psychologica, 135, 114-116.[CrossRef] [PubMed]
[21] Kryklywy, J. H., & Todd, R. M. (2018). Experiential History as a Tuning Parameter for Attention. Journal of Cognition, 1, 24.[CrossRef] [PubMed]
[22] Le Pelley, M. E., Pearson, D., Griffiths, O., & Beesley, T. (2015). When Goals Conflict with Values: Counterproductive Attentional and Oculomotor Capture by Reward-Related Stimuli. Journal of Experimental Psychology: General, 144, 158-171.[CrossRef] [PubMed]
[23] Logan, G. D. (2002). An Instance Theory of Attention and Memory. Psychological Review, 109, 376-400.[CrossRef
[24] Maljkovic, V., & Nakayama, K. (1994). Priming of Pop-Out: I. Role of Features. Memory & Cognition, 22, 657-672.[CrossRef
[25] Nissens, T., Failing, M., & Theeuwes, J. (2016). People Look at the Object They Fear: Oculomotor Capture by Stimuli That Signal Threat. Cognition & Emotion, 31, 1-8.
[26] Sisk, C. A., Remington, R. W., & Jiang, Y. V. (2018). The Risks of Downplaying Top-Down Control. Journal of Cognition, 1, 23.[CrossRef] [PubMed]
[27] Theeuwes, J. (1992). Perceptual Selectivity for Color and Form. Perception & Psychophysics, 51, 599-606.[CrossRef
[28] Theeuwes, J. (2010). Top-Down and Bottom-Up Control of Visual Selection. Acta Psychologica, 135, 133-139.[CrossRef
[29] Theeuwes, J. (2018a). Visual Selection: Usually Fast and Automatic; Seldom Slow and Volitional. Journal of Cognition, 1, 21.[CrossRef] [PubMed]
[30] Theeuwes, J. (2018b). Visual Selection: Usually Fast and Automatic; Seldom Slow and Volitional; A Reply to Commentaries. Journal of Cognition, 1, 21.
[31] Theeuwes, J., & Van, B. E. (2011). On the Limits of Top-Down Control of Visual Selection.
[32] Todd, R. M., & Manaligod, M. G. M. (2018). Implicit Guidance of Attention: The Priority State Space Framework. Cortex, 102, 121-138.[CrossRef] [PubMed]
[33] Wang, B., & Theeuwes, J. (2018). Statistical Regularities Modulate Attentional Capture Independent of Search Strategy. Attention Perception & Psychophysics, 44, 1-12.[CrossRef] [PubMed]
[34] Zelinsky, G. J., & Bisley, J. W. (2015). The What, Where, and Why of Priority Maps and Their Interactions with Visual Working Memory. Annals of the New York Academy of Sciences, 1339, 154-164.[CrossRef] [PubMed]