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. 2015 Feb 20;10(2):e0116193.
doi: 10.1371/journal.pone.0116193. eCollection 2015.

Tracking second thoughts: continuous and discrete revision processes during visual lexical decision

Affiliations

Tracking second thoughts: continuous and discrete revision processes during visual lexical decision

Laura Barca et al. PLoS One. .

Abstract

We studied the dynamics of lexical decisions by asking participants to categorize lexical and nonlexical stimuli and recording their mouse movements toward response buttons during the choice. In a previous report we revealed greater trajectory curvature and attraction to competitors for Low Frequency words and Pseudowords. This analysis did not clarify whether the trajectory curvature in the two conditions was due to a continuous dynamic competition between the response alternatives or if a discrete revision process (a "change of mind") took place during the choice from an initially selected response to the opposite one. To disentangle these two possibilities, here we analyse the velocity and acceleration profiles of mouse movements during the choice. Pseudowords' peak movement velocity occurred with 100 ms delay with respect to words and Letters Strings. Acceleration profile for High and Low Frequency words and Letters Strings exhibited a butterfly plot with one acceleration peak at 400 ms and one deceleration peak at 650 ms. Differently, Pseudowords' acceleration profile had double positive peaks (at 400 and 600 ms) followed by movement deceleration, in correspondence with changes in the decision from lexical to nonlexical response buttons. These results speak to different online processes during the categorization of Low Frequency words and Pseudowords, with a continuous competition process for the former and a discrete revision process for the latter.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Movement trajectories for correct categorization.
Panel A: mean trajectories for experimental conditions (modified by [10]). Panel B: x-coordinate time course on normalized time.
Fig 2
Fig 2. X-velocity profile for each stimulus condition.
Fig 3
Fig 3. X-acceleration profile for each stimulus condition.
Fig 4
Fig 4. Pseudowords’ reversal.
Mean trajectories (panel A) and Euclidean based x-y acceleration profile (panel B) for trials marked as having a reversal or no reversal.
Fig 5
Fig 5. Reversal and no reversal Pseudowords' trajectories for individual participants.

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