{"title":"Effect on Brain Activity while Programming with (without) Music","authors":"A. Thapaliya","doi":"10.1109/ICSE-Companion52605.2021.00044","DOIUrl":null,"url":null,"abstract":"In this study, I investigate the effect of programming with (without) music on electromagnetic waves in software developers' brain and analyzing how music influences the overall result of their tasks. For this research, I used an EEG device to measure the brain activity of the programmer and analyzed electromagnetic waves by calculating the arousal-valence coefficients & using pre-processing techniques (EEG studio). The experiment was performed with 8 students who were also software developers (5 undergraduates and 3 graduates). As a result, when programming with music, I discovered that the mean valence was greater while the mean arousal was lower. These early results suggest the feasibility of the technique.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE-Companion52605.2021.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this study, I investigate the effect of programming with (without) music on electromagnetic waves in software developers' brain and analyzing how music influences the overall result of their tasks. For this research, I used an EEG device to measure the brain activity of the programmer and analyzed electromagnetic waves by calculating the arousal-valence coefficients & using pre-processing techniques (EEG studio). The experiment was performed with 8 students who were also software developers (5 undergraduates and 3 graduates). As a result, when programming with music, I discovered that the mean valence was greater while the mean arousal was lower. These early results suggest the feasibility of the technique.