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Exploring an online method of measuring implicit sequence-learning consciousness

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A Correction to this article was published on 29 December 2022

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Abstract

Existing methods for measuring implicit sequence-learning consciousness are conducted offline. Based on the traditional measurement of cued-generation task, this study implemented an online measurement method by converting a generation task into a forced-choice task to observe the dynamic changes of consciousness in the implicit sequence-learning process. In this study, we compared the performance of online measurement task and traditional sequence-learning tasks in 31 university students. The results revealed that the online indicators were significantly correlated with classic consciousness indicators and typical ERP components of consciousness. Without affecting the development of consciousness, the online measurement indicators were found to promptly and effectively reflect the gradually changing progression of consciousness in implicit sequence learning.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was supported by the Planning Foundation of Humanities and Social Sciences of Ministry of Education (Grant No. 22YJA880037), and the National Natural Science Foundation of China (Grant No. 32100845).

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Correspondence to Dianzhi Liu.

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Communicated by Francesca Frassinetti.

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Lu, F., Huang, C., Zhu, C. et al. Exploring an online method of measuring implicit sequence-learning consciousness. Exp Brain Res 240, 3141–3152 (2022). https://doi.org/10.1007/s00221-022-06482-9

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