Orchida Dianita, Kakeru Kitayama, Kimi Ueda, H. Ishii, H. Shimoda, F. Obayashi
{"title":"The Effect of Micro-Breaks on Intellectual Concentration Work: An\n Individual's Characteristics Measurement","authors":"Orchida Dianita, Kakeru Kitayama, Kimi Ueda, H. Ishii, H. Shimoda, F. Obayashi","doi":"10.54941/ahfe1004109","DOIUrl":null,"url":null,"abstract":"Micro-breaks are very short time breaks such as several tens of seconds\n during intellectual work and they are expected to be effective to recover\n intellectual concentration. A controlled laboratory experiment was conducted\n to examine the effect of the micro-breaks focusing on individual\n characteristics. Thirty-one participants were recruited in this study\n performing cognitive comparison tasks for 25 minutes on a tablet PC under\n two conditions, which are micro-break intervention condition and no\n micro-break intervention condition. Quantitative answering times were\n analyzed to find the individual's performance characteristic concerning the\n micro-breaks intervention. Five patterns grouping of performance variations\n were determined utilizing the moving average and locally-weighted\n scatterplot smoother data. The result shows that 42% of the total\n participants resulted that micro-breaks condition outperformed the condition\n without micro-breaks during all the task periods incorporated in the first\n pattern group. The second pattern group does not show the eminence of\n micro-breaks towards 10% of total participants. In the third pattern group,\n the superiority of the micro-breaks appears after a certain time and not\n from the beginning of the task shown by 26% of participants' data. The\n degradation of the micro-break effectiveness is shown in a fourth pattern\n group for 19% of the sample group. In the last pattern group, both the\n superiority and deterioration of the micro-break are found in 3% of the\n data. The results demonstrate each individual's characteristic in responding\n to the micro-breaks intervention during cognitive task presented in the five\n patterns group. The majority of the participants benefited from the\n micro-breaks indicated by more stable and faster performance compared to the\n no micro-breaks condition.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1004109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Micro-breaks are very short time breaks such as several tens of seconds
during intellectual work and they are expected to be effective to recover
intellectual concentration. A controlled laboratory experiment was conducted
to examine the effect of the micro-breaks focusing on individual
characteristics. Thirty-one participants were recruited in this study
performing cognitive comparison tasks for 25 minutes on a tablet PC under
two conditions, which are micro-break intervention condition and no
micro-break intervention condition. Quantitative answering times were
analyzed to find the individual's performance characteristic concerning the
micro-breaks intervention. Five patterns grouping of performance variations
were determined utilizing the moving average and locally-weighted
scatterplot smoother data. The result shows that 42% of the total
participants resulted that micro-breaks condition outperformed the condition
without micro-breaks during all the task periods incorporated in the first
pattern group. The second pattern group does not show the eminence of
micro-breaks towards 10% of total participants. In the third pattern group,
the superiority of the micro-breaks appears after a certain time and not
from the beginning of the task shown by 26% of participants' data. The
degradation of the micro-break effectiveness is shown in a fourth pattern
group for 19% of the sample group. In the last pattern group, both the
superiority and deterioration of the micro-break are found in 3% of the
data. The results demonstrate each individual's characteristic in responding
to the micro-breaks intervention during cognitive task presented in the five
patterns group. The majority of the participants benefited from the
micro-breaks indicated by more stable and faster performance compared to the
no micro-breaks condition.