- Research and reports
Research and reports
In this study, researchers from the universities of Shanghai and Beijing investigated how attentional control is influenced by noise distraction and self-talk. They measured differences in the performance of basketball players under noise and quiet conditions using the anti-saccade eye tracking paradigm, a well-established inhibitory attentional task. A Tobii Pro Spectrum running at 1200Hz was used to monitor eye movements and pupil diameter. Eye tracking data were used to classify correct and incorrect trials, and measure the anti-saccade latency, or how fast participants could make a saccade toward the correct side of the screen. Pupil data were used to measure the cognitive load in each condition.
There were three groups of participants:
The first group was told to use motivational self-talk, with sentences such as “I can do it”, before each trial. The second group was told to use instructional self-talk, with sentences such as “Look at the opposite” before each trial. In addition, a third control group was not told to use any self-talk strategy.
Results show that all groups had a higher error rate and a larger pupil diameter in the noise distraction condition, suggesting that noise distraction increases cognitive load and negatively influences attentional control. Motivational self-talk increased the error rate, and instructional self-talk decreased the error rate only in the quiet condition. Authors conclude that improper use of self-talk strategies in competition scenarios may diminish attentional control and ultimately impact athletic performance, regardless of noise distraction.
Yang, L., Wang, Y. (2023). The effect of motivational and instructional self-talk on attentional control under noise distraction. PLOS ONE. 18(9): e0292321.
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Biometric and Eye Tracking Specialist, Tobii
As an eye tracking and integration specialist, I get to learn about the needs of scientific researchers regarding eye tracking methodology and multimodal research. My motivation is to help scientific researchers who want to combine eye tracking with other electrophysiological sensors by enabling the best setup for their research.
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