TY - JOUR

T1 - The effect of subjective awareness measures on performance in artificial grammar learning task

AU - Иванчей, И. И.

AU - Морошкина, Надежда Владимировна

N1 - Funding Information: This research is supported by grant 15-06-05245 of the Russian Foundation for Basic Research . The funders had no role in study design, data collection, analysis, decision to publish, or preparation of the manuscript. The data and scripts for analyses reported in this paper are available at https://osf.io/zp7bd/ .

PY - 2018/1

Y1 - 2018/1

N2 - Systematic research into implicit learning requires well-developed awareness-measurement techniques. Recently, trial-by-trial measures have been widely used. However, they can increase complexity of a study because they are an additional experimental variable. We tested the effects of these measures on performance in artificial grammar learning study. Four groups of participants were assigned to different awareness measures conditions: confidence ratings, post-decision wagering, decision strategy attribution or none. Decision-strategy-attribution participants demonstrated better grammar learning and longer response times compared to controls. They also exhibited a conservative bias. Grammaticality by itself was a stronger predictor of strings endorsement in decision-strategy-attribution group compared to other groups. Confidence ratings and post-decision wagering only affected the response times. These results were supported by an additional experiment that used a balanced chunk strength design. We conclude that a decision-strategy-attribution procedure may force participants to adopt an analytical decision-making strategy and rely mostly on conscious knowledge of artificial grammar.

AB - Systematic research into implicit learning requires well-developed awareness-measurement techniques. Recently, trial-by-trial measures have been widely used. However, they can increase complexity of a study because they are an additional experimental variable. We tested the effects of these measures on performance in artificial grammar learning study. Four groups of participants were assigned to different awareness measures conditions: confidence ratings, post-decision wagering, decision strategy attribution or none. Decision-strategy-attribution participants demonstrated better grammar learning and longer response times compared to controls. They also exhibited a conservative bias. Grammaticality by itself was a stronger predictor of strings endorsement in decision-strategy-attribution group compared to other groups. Confidence ratings and post-decision wagering only affected the response times. These results were supported by an additional experiment that used a balanced chunk strength design. We conclude that a decision-strategy-attribution procedure may force participants to adopt an analytical decision-making strategy and rely mostly on conscious knowledge of artificial grammar.

KW - Artificial grammar learning

KW - Awareness measures

KW - Confidence ratings

KW - Consciousness

KW - Decision making

KW - Dual process

KW - Implicit learning

KW - Post-decision wagering

KW - Processing strategies

KW - Rules

KW - Structural knowledge

KW - CONSCIOUSNESS

KW - INFORMATION

KW - ACQUISITION

KW - KNOWLEDGE

KW - IMPLICIT

KW - ABSTRACTION

KW - MEMORY

KW - RULE

KW - SIMILARITY

KW - EXPLICIT

UR - http://www.scopus.com/inward/record.url?scp=85036606698&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/effect-subjective-awareness-measures-performance-artificial-grammar-learning-task

U2 - 10.1016/j.concog.2017.11.010

DO - 10.1016/j.concog.2017.11.010

M3 - Article

VL - 57

SP - 116

EP - 133

JO - Consciousness and Cognition

JF - Consciousness and Cognition

SN - 1053-8100

ER -