FURI | Fall 2020

Determining the Effects of Sound Frequencies and Periodicities as Patterned Distractions on a Student’s Cognitive Ability

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To provide students with an optimal education, it is critical to understand what traits of distractors affect their cognitive abilities. The research focuses on understanding what frequency at which audio distractions are presented have a greater impact on the students’ performance. Pre-existing data will be used to determine the effect that the frequencies of audio stimuli have on the students’ performance. To better process the compiled data, machine learning prediction models will be used to identify cognitive reactions to various audio frequencies. Data visualization will exemplify the impact of these auditory stimuli based on their respective frequencies.


Student researcher

Anish Agarwal

Computer science

Hometown: Chandler, Arizona, United States

Graduation date: Spring 2023