Exploring the representational mechanism of implicit sequence learning: Evidence from eye movements

doi:10.3724/SP.J.1041.2022.00779

Abstract

Abstract:

As one of the most fundamental research questions in implicit learning, how implicit sequence learning is represented remains elusive. Using eye tracking technology, three experiments were conducted to explore the representation mechanism of implicit sequence learning. Results showed that sequence learning occurred 1) under the conditions of mixed saccade of perceptual sequence and mixed saccade of reaction sequence. 2) under the condition of prosaccade and anti-saccade; and 3) occurs with and without distracted anti-saccade, and there is no significant difference in sequence learning amount between them. The whole study shows that the representation of implicit sequence learning depends on sequence information.

Key words: sequence learning, representation, antisaccade, mixed saccade, eye movements

LU Zhanglong, LIU Mengna, LIU Yujie, MA Panpan, ZHANG Ruiping. (2022). Exploring the representational mechanism of implicit sequence learning: Evidence from eye movements. Acta Psychologica Sinica, 54(7), 779-788.

Figures/Tables 5

Figure 1. serial reaction time task flow chart

Figure 2. Saccadic response time under perceptual/response sequence mixed saccade condition

Figure 3. Saccadic response time under prosaccade and anti-saccade condition.

Figure 4. Saccadic response time under anti-saccade condition with/without distractor.

Figure 5. Ternary representation model of sequence learning.

References 42

[1]	Cleeremans, A., Allakhverdov, V., & Kuvaldina, M. (2019). Implicit learning: 50 years on. Hove: Routledge.
[2]	Cleeremans, A., & Jiménez, L. (2002). Implicit learning and consciousness:A graded, dynamic perspective. In R. M. French & A. Cleeremans (Eds.), Implicit learning and Consciousness: An empirical, philosophical and computational consensus in the making (pp.1-40). Psychology Press: Sussex BN3 2FA.
[3]	Coomans, D., Deroost, N., Vandenbossche, J., van den Bussche, E., & Soetens, E. (2012). Visuospatial perceptual sequence learning and eye movements. Experimental Psychology, 59 (5), 279-285. doi: 10.1027/1618-3169/a000155 pmid: 22617313
[4]	Dai, H., Zhu, C. L., & Liu, D. Z. (2018). Is implicit knowledge abstract? Evidence from implicit sequence learning transfer. Acta Psychologica Sinica, 50(9), 965-974. doi: 10.3724/SP.J.1041.2018.00965 URL
[5]	Deroost, N., & Coomans, D. (2018). Is sequence awareness mandatory for perceptual sequence learning: An assessment using a pure perceptual sequence learning design. Acta Psychologica, 183, 58-65. doi: 10.1016/j.actpsy.2018.01.002 URL
[6]	Deroost, N., Vandenbossche, J., Zeischka, P., Coomans, D., & Soetens, E. (2012). Cognitive control: A role for implicit learning? Journal of Experimental Psychology: Learning, Memory, and Cognition, 38( 5), 1243-1258. doi: 10.1037/a0027633 URL
[7]	Fu, Q, F., Sun, H, M., Dienes, Z., & Fu, X, L., (2018). Implicit sequence learning of chunking and abstract structures. Consciousness and Cognition, 62, 42-56. doi: 10.1016/j.concog.2018.04.010 URL
[8]	Goschke, T. (1998). Implicit learning of perceptual and motor sequences:Evidence for independent learning systems. In M. A. Stadler & P. A. Frensch (Eds.), Handbook of implicit learning (pp.401-444). Thousand Oaks, CA: Sage Publications Inc.
[9]	Goschke, T., & Bolte, A. (2012). On the modularity of implicit sequence learning: Independent acquisition of spatial, symbolic, and manual sequences. Cognitive Psychology, 65, 284-320. doi: 10.1016/j.cogpsych.2012.04.002 pmid: 22621762
[10]	Guan, S. Y., & Guo, X. Y. (2016). Knowledge acquistion and the conscious state of knowledge in implicit learning, Studies of Psychology and Behavior, 14(2), 191-201.
[11]	Guo, X. Y. (2003). Implicit learning. Shanghai, China: East China Normal University Press.
[12]	Guo, X. Y., Jiang, S., & Gong, R. (2008). Event-related potential studies in sequence learning. Journal of Psychological Science, 31(2), 404-407.
[13]	Haider, H., Eberhardt, K., Esser, S. & Rose, M. (2014). Implicit visual learning: How the task set modulates learning by determining the stimulus-response binding. Consciousness and Cognition, 26, 145-161. doi: 10.1016/j.concog.2014.03.005 pmid: 24747993
[14]	Haider, H., Eberhardt, K., Kunde, A. & Rose, M. (2013). Implicit visual learning and the expression of learning. Consciousness and Cognition, 22(1), 82-98. doi: 10.1016/j.concog.2012.11.003 pmid: 23262254
[15]	Hoffmann, J., Martin, C., & Schilling, A. (2003). Unique transitions between stimulus and responses in SRT tasks: Evidence for the primacy of response predictions. Psychological Research, 67(3), 160-173. doi: 10.1007/s00426-002-0117-2 URL
[16]	Howard, J. H., Jr., Howard, D. V, Dennis, N, A. & Kelly, A. J. (2008). Implicit learning of predictive relationships in three-element visual sequences by young and old adults. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 1139-1157. doi: 10.1037/a0012797 URL
[17]	Jablonowski, J., Taesler, P., Fu, Q., & Rose, M. (2018). Implicit acoustic sequence learning recruits the hippocampus. Plos One, 13, e0209590. doi: 10.1371/journal.pone.0209590 URL
[18]	Jacoby, L. L. (1991). A process dissociation framework: Separating automatic from intentional uses of memory. Journal of Memory and Language, 30, 513-541. doi: 10.1016/0749-596X(91)90025-F URL
[19]	Jiang, S., Guo, X. Y., Yang, J., & Ma, W. D. (2014). Implicit learning and transfer effect of tonal nonadjacent rule, Psychological Exploration, 34(5), 416-422.
[20]	Kavakci, M., & Dollaghan, C. (2019). A new method for studying statistical learning in young children. Journal of Speech, Language, and Hearing Research, 62(7), 2483-2490. doi: 10.1044/2019_JSLHR-L-18-0165
[21]	Kinder, A., Rolfs, M., & Kliegl, R. (2008). Sequence learning at optimal stimulus-response mapping: Evidence from a serial reaction time task. The Quarterly Journal of Experimental Psychology, 61(2), 203-209. doi: 10.1080/17470210701557555 URL
[22]	Koch, F. S., Sundqvist, A., Thornberg, U. B., Nyberg, S., Lum, J. A. G., Ullman, M. T., … Heimann, M. (2020). Procedural memory in infancy: Evidence from implicit sequence learning in an eye-tracking paradigm. Journal of Experimental Child Psychology, 191, 104733. doi: 10.1016/j.jecp.2019.104733 URL
[23]	Lu, Z. L. (2021). The application of eye-movement technique in the study of sequence learning. Psychological Research, 14(6), 512-517.
[24]	Lu, Z. L., Huang, L. J. Q., & Li, X. Y. (2018). An experimental study on relationship between subliminal emotion and implicit sequence learning: Evidence from eye movements. International Journal of Psychological and Brain Sciences, 3(1), 1-6. doi: 10.11648/j.ijpbs.20180301.11 URL
[25]	Lu, Z. L., & Li, X. Y. (2018). An eye movement study on the relationship between multiple implicit sequence learning and attention. Psychology and Behavioral Sciences, 7(1), 8-13. doi: 10.11648/j.pbs.20180701.13 URL
[26]	Lu, Z. L., Lv, Y., & Bai, X. J. (2011). Attention load has no effect on implicit sequence learning: An eye movement study. Studies of Psychology and Behavior, 9(3), 214-218.
[27]	Lv, Y., Hu, W., Wu, G. L., & Shen, D. L. (2008). An experimental study on implicit and explicit learning representations in a serial reaction time task. Journal of Psychological Science, 31(4), 770-773.
[28]	Marcus, D. J., Karatekin, C., & Markiewicz, S. (2006). Oculomotor evidence of sequence learning on the serial reaction time task. Memory & Cognition, 34, 420-432. doi: 10.3758/BF03193419 URL
[29]	Németh, D., Hallgató, E., Janacsek, K., Sándor, T., & Londe, Z. (2009). Perceptual and motor factors of implicit skill learning. Neuroreport, 20, 1654-1658. doi: 10.1097/WNR.0b013e328333ba08 URL
[30]	Nissen, M. J., & Bullemer, P. (1987). Attentional requirements of learning: Evidence from performance measures. Cognitive Psychology, 19(1), 1-32. doi: 10.1016/0010-0285(87)90002-8 URL
[31]	Röttger, E., Haider, H., Zhao, F., & Gaschler, R. (2019). Implicit sequence learning despite multitasking: The role of across-task predictability. Psychological Research, 83, 526-543. doi: 10.1007/s00426-017-0920-4 pmid: 28951973
[32]	Schumacher, E. H., Cookson, S. L., Smith, D. M., Nguyen, T. V. N., Sultan, Z., Reuben, K. E., & Hazeltine, E. (2018). Dual-task processing with identical stimulus and response sets: Assessing the importance of task representation in dual-task interference. Frontiers in Psychology, 9, 1031. doi: 10.3389/fpsyg.2018.01031 URL
[33]	Schumacher, E., H., & Schwarb, H. (2009). Parallel response selection disrupts sequence learning under dual task conditions. Journal of Experimental Psychology: General, 138, 270-290. doi: 10.1037/a0015378 URL
[34]	Schwarb, H., & Schumacher, E. H. (2010). Implicit sequence learning is represented by stimulus-response rules. Memory & Cognition, 38, 677-688. doi: 10.3758/MC.38.6.677 URL
[35]	Taesler, P., Jablonowski, J., Fu, Q. F., & Rose, M. (2019). Modeling implicit learning in a cross-modal audio-visual serial reaction time task. Cognitive Systems Research, 54, 154-164. doi: 10.1016/j.cogsys.2018.10.002 URL
[36]	Tal, A., Bloch, A., Cohen-Dallal, H., Aviv, O., Ashkenazi, S. S., Bar, M., & Vakil, E. (2021). Oculomotor anticipation reveals a multitude of learning processes underlying the serial reaction time task. Scientific Reports, 11, 6190. doi: 10.1038/s41598-021-85842-x URL
[37]	Tal, A., & Vakil, E. (2020). How sequence learning unfolds: Insights from anticipatory eye movements. Cognition, 201(6), 104291. doi: 10.1016/j.cognition.2020.104291 URL
[38]	Tanaka, K., & Watanabe, K. (2018). Effects of model types in observational learning on implicit sequential learning. Quarterly Journal of Experimental Psychology, 71(7), 1596-1606. doi: 10.1080/17470218.2017.1342672 URL
[39]	Vakil, E., Bloch, A., & Cohen, H. (2017). Anticipation measures of sequence learning: Manual versus oculomotor versions of the serial reaction time task. The Quarterly Journal of Experimental Psychology, 70(3), 579-589. doi: 10.1080/17470218.2016.1172095 URL
[40]	Yan, G. L., & Bai, X. J. (2018). The foundation and application of eye movement technology. Beijing: Beijing Normal University Press.
[41]	Yang, H. B., Guo, C., & Liu, D. Z. (2019). Graded consciousness in implicit sequence learning: Evidences form the development and forgetting characteristics of acquired knowledge. Journal of Psychological Science, 42(2), 287-292.
[42]	Zhang, J. X., Tang, D., Li, Y. L., & Liu, D. Z. (2016). Anti-opposition logic paradigm: An improvement on the opposition logic in implicit artificial grammar learning. Acta Psychologicia Sinica, 48(9), 1130-1142.