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Measuring and Modeling the Effect of Audio on Human Focus in Everyday Environments Using Brain-Computer Interface
Aia Haruvi1, Ronen Kopito1, Noa Brande-Eilat1
1Arctop Inc., San Francisco, CA, United States.
Frontiers in Computational Neuroscience
|February 14, 2022
Summary
Personalized soundscapes significantly improved human focus compared to silence, while music playlists had no significant effect. Classical music, engineered soundscapes, and natural sounds best increased focus, unlike pop and hip-hop.
Area of Science:
- Cognitive Neuroscience
- Human-Computer Interaction
- Psychoacoustics
Background:
- Human focus is crucial for task performance and well-being.
- The impact of auditory stimuli on focus is not fully understood.
- Existing audio interventions for focus lack personalization and objective validation.
Purpose of the Study:
- To investigate the effect of audio on subjective and objective human focus levels.
- To identify audio properties that modulate focus in everyday environments.
- To develop a predictive model for human focus based on audio characteristics.
Main Methods:
- 62 participants (18-65 years) completed tasks with varying audio conditions (silence, music playlists, personalized soundscapes).
- Electroencephalography (EEG) headbands recorded brain signals.
- Brain-computer interface technology decoded focus levels from EEG and self-reports.
- Analysis correlated audio properties with focus changes over time.
Main Results:
- Personalized soundscapes significantly increased focus over silence (p=0.008).
- Music playlists did not significantly affect focus overall, but showed benefits in young adults (18-36 years).
- Classical music, engineered soundscapes, and natural sounds were superior for focus compared to pop and hip-hop.
Conclusions:
- Personalized soundscapes offer a significant advantage in enhancing human focus.
- Audio's impact on focus can be predicted by its physical properties.
- Findings enable precise audio manipulation for cognitive enhancement and future applications in well-being.

