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Publication . Conference object . 2014

Machine-extracted eye gaze features

how well do they correlate to sight-reading abilities of piano players?
Bogdan Hoanca; Timothy C. Smith; Kenrick Mock;
Published: 26 Mar 2014
Publisher: ACM
Abstract
Skilled piano players are able to decipher and play a musical piece they had never seen before (a skill known as sight-reading). For a sample of 23 piano players of various abilities we consider the correlation between machine-extracted gaze path features and the overall human rating. We find that correlation values (between machine-extracted gaze features and overall human ratings) are statistically similar to correlation values between human-extracted task-related ratings (e.g., note accuracy, error rate) and overall human ratings. These high correlation values suggest that an eye tracking-enabled computer could help students assess their sight-reading abilities, and could possibly advise students on how to improve. The approach could be extended to any musical instrument. For keyboard players, a MIDI keyboard with the appropriate software to provide information about note accuracy and timing could complement feedback from an eye tracker to enable more detailed analysis and advice.
Subjects by Vocabulary

Microsoft Academic Graph classification: Musical instrument Psychology Gaze Sight-reading Word error rate Multimedia computer.software_genre computer Cognitive psychology Eye tracking MIDI computer.file_format Piano Correlation

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https://doi.org/10.1145/257815...
Conference object . 2014
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