Standard

Stroop Effect: Conflict Detection and Control Strategy Factors. / Starodubtsev, Alexey ; Allakhverdov , Mikhail V. .

Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia. Springer Nature, 2021. p. 230-235.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Starodubtsev, A & Allakhverdov , MV 2021, Stroop Effect: Conflict Detection and Control Strategy Factors. in Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia. Springer Nature, pp. 230-235, 9th International Conference on Cognitive Sciences, Intercognsci 2020, Moscow, Russian Federation, 10/10/20. https://doi.org/10.1007/978-3-030-71637-0_27

APA

Starodubtsev, A., & Allakhverdov , M. V. (2021). Stroop Effect: Conflict Detection and Control Strategy Factors. In Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia (pp. 230-235). Springer Nature. https://doi.org/10.1007/978-3-030-71637-0_27

Vancouver

Starodubtsev A, Allakhverdov MV. Stroop Effect: Conflict Detection and Control Strategy Factors. In Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia. Springer Nature. 2021. p. 230-235 https://doi.org/10.1007/978-3-030-71637-0_27

Author

Starodubtsev, Alexey ; Allakhverdov , Mikhail V. . / Stroop Effect: Conflict Detection and Control Strategy Factors. Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia. Springer Nature, 2021. pp. 230-235

BibTeX

@inproceedings{0f93de1bf06941ca904f72f232bb8b02,
title = "Stroop Effect: Conflict Detection and Control Strategy Factors",
abstract = "Three experiments (N = 190) were conducted to study the effect of control strategy on the strength of interference in a reverse Stroop task. The participants were asked to determine as quickly as possible the meanings of incongruent words (for example, the word “red” printed in blue) and to ignore the color of the text. Responses were registered using the “up”, “down”, “left” and “right” arrow keys on the keyboard. Colored squares were used to assign keys to responses in the current trial. For example, if the red square was in the top part of the picture, the participant had to press the “up” button in order to response “red”. In the “conflict” stimuli, a square of the same color as the word was presented; in the control stimuli, there was no corresponding square. The color-meaning combinations were identical in both “conflict” and control stimuli. A significant difference in response times for conflict and non-conflict stimuli was only observed when 1) they were presented in separate blocks, or 2) the colored squares were presented before the word. This difference decreases significantly if the conflict stimuli are presented as a separate block after the block of control stimuli and if the block of control stimuli is presented after the conflict stimuli. The effect of cognitive control strategy and conflict detection on the efficiency of solution of interference tasks is discussed.",
keywords = "Stroop effect, Cognitive control, Reverse Stroop effect, Response set effect, Response conflict, Block effect",
author = "Alexey Starodubtsev and Allakhverdov, {Mikhail V.}",
note = "Starodubtsev, A., Allakhverdov, M.V. (2021). Stroop Effect: Conflict Detection and Control Strategy Factors. In: Velichkovsky, B.M., Balaban, P.M., Ushakov, V.L. (eds) Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics. Intercognsci 2020. Advances in Intelligent Systems and Computing, vol 1358. Springer, Cham. https://doi.org/10.1007/978-3-030-71637-0_27; 9th International Conference on Cognitive Sciences, Intercognsci 2020 ; Conference date: 10-10-2020 Through 16-10-2020",
year = "2021",
doi = "10.1007/978-3-030-71637-0_27",
language = "English",
pages = "230--235",
booktitle = "Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics",
publisher = "Springer Nature",
address = "Germany",

}

RIS

TY - GEN

T1 - Stroop Effect: Conflict Detection and Control Strategy Factors

AU - Starodubtsev, Alexey

AU - Allakhverdov , Mikhail V.

N1 - Starodubtsev, A., Allakhverdov, M.V. (2021). Stroop Effect: Conflict Detection and Control Strategy Factors. In: Velichkovsky, B.M., Balaban, P.M., Ushakov, V.L. (eds) Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics. Intercognsci 2020. Advances in Intelligent Systems and Computing, vol 1358. Springer, Cham. https://doi.org/10.1007/978-3-030-71637-0_27

PY - 2021

Y1 - 2021

N2 - Three experiments (N = 190) were conducted to study the effect of control strategy on the strength of interference in a reverse Stroop task. The participants were asked to determine as quickly as possible the meanings of incongruent words (for example, the word “red” printed in blue) and to ignore the color of the text. Responses were registered using the “up”, “down”, “left” and “right” arrow keys on the keyboard. Colored squares were used to assign keys to responses in the current trial. For example, if the red square was in the top part of the picture, the participant had to press the “up” button in order to response “red”. In the “conflict” stimuli, a square of the same color as the word was presented; in the control stimuli, there was no corresponding square. The color-meaning combinations were identical in both “conflict” and control stimuli. A significant difference in response times for conflict and non-conflict stimuli was only observed when 1) they were presented in separate blocks, or 2) the colored squares were presented before the word. This difference decreases significantly if the conflict stimuli are presented as a separate block after the block of control stimuli and if the block of control stimuli is presented after the conflict stimuli. The effect of cognitive control strategy and conflict detection on the efficiency of solution of interference tasks is discussed.

AB - Three experiments (N = 190) were conducted to study the effect of control strategy on the strength of interference in a reverse Stroop task. The participants were asked to determine as quickly as possible the meanings of incongruent words (for example, the word “red” printed in blue) and to ignore the color of the text. Responses were registered using the “up”, “down”, “left” and “right” arrow keys on the keyboard. Colored squares were used to assign keys to responses in the current trial. For example, if the red square was in the top part of the picture, the participant had to press the “up” button in order to response “red”. In the “conflict” stimuli, a square of the same color as the word was presented; in the control stimuli, there was no corresponding square. The color-meaning combinations were identical in both “conflict” and control stimuli. A significant difference in response times for conflict and non-conflict stimuli was only observed when 1) they were presented in separate blocks, or 2) the colored squares were presented before the word. This difference decreases significantly if the conflict stimuli are presented as a separate block after the block of control stimuli and if the block of control stimuli is presented after the conflict stimuli. The effect of cognitive control strategy and conflict detection on the efficiency of solution of interference tasks is discussed.

KW - Stroop effect

KW - Cognitive control

KW - Reverse Stroop effect

KW - Response set effect

KW - Response conflict

KW - Block effect

U2 - 10.1007/978-3-030-71637-0_27

DO - 10.1007/978-3-030-71637-0_27

M3 - Conference contribution

SP - 230

EP - 235

BT - Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics

PB - Springer Nature

T2 - 9th International Conference on Cognitive Sciences, Intercognsci 2020

Y2 - 10 October 2020 through 16 October 2020

ER -

ID: 103047325