Programmer's Electroencephalogram Who Found Implementation Strategy
| Autor: | Aiko Yamamoto, Yoshiharu Ikutani, Hidetake Uwano |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Measure (data warehouse)
medicine.diagnostic_test business.industry Computer science 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Electroencephalography Alpha wave Machine learning computer.software_genre Power (physics) Moment (mathematics) 0202 electrical engineering electronic engineering information engineering medicine Artificial intelligence State (computer science) Beta wave business Programmer computer |
| Zdroj: | 2016 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, Cloud Computing, Data Science & Engineering (ACIT-CSII-BCD). |
| DOI: | 10.1109/acit-csii-bcd.2016.041 |
| Popis: | Electroencephalogram (EEG) is one of the useful tools to measure programmer's state for effective support in proper moment. The purpose of this study is to investigate effectiveness of EEG as an index for classification of programmers who fail to find an implementation strategy. We select three major metrics for EEG measurement, alpha wave, beta wave, and their ratio. Then we experimentally analyze the differences between two conditions, 1) find a strategy, and 2) do not. The result of the experiment shows that the power of alpha wave and alpha-beta ratio are increased when participants found the implementation strategy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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