The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Para não atrapalhar a concentração de um membro da equipe em sua tarefa, o interruptor precisa aguardar o momento adequado. Nesta pesquisa, examinamos a viabilidade de prever possíveis tempos de interrupção de funcionários de escritório que usam PCs. Uma análise dos dados reais de trabalho coletados de 13 participantes revelou a relação entre durações ininterruptas e quatro recursos, ou seja, tipo de software aplicativo, taxa de atividade operacional do PC, proporção de atividade entre pressionamentos de teclas e cliques do mouse e frequência de comutação do software aplicativo. Com base nestes resultados, desenvolvemos um modelo probabilístico de continuidade do trabalho cuja probabilidade muda de acordo com as quatro características. A validação cruzada de exclusão indicou correlações positivas entre as durações reais e previstas. As medianas das durações reais e previstas foram 539 se 519 s. A principal contribuição deste estudo é a demonstração da viabilidade de prever durações ininterruptas em um cenário real de trabalho.
Shota SHIRATORI
Graduate School of Tokyo University of Agriculture and Technology
Yuichiro FUJIMOTO
Nara Institute of Science and Technology
Kinya FUJITA
Graduate School of Tokyo University of Agriculture and Technology
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Shota SHIRATORI, Yuichiro FUJIMOTO, Kinya FUJITA, "Predicting Uninterruptible Durations of Office Workers by Using Probabilistic Work Continuance Model" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 4, pp. 838-849, April 2020, doi: 10.1587/transinf.2019EDP7168.
Abstract: In order not to disrupt a team member concentrating on his/her own task, the interrupter needs to wait for a proper time. In this research, we examined the feasibility of predicting prospective interruptible times of office workers who use PCs. An analysis of actual working data collected from 13 participants revealed the relationship between uninterruptible durations and four features, i.e. type of application software, rate of PC operation activity, activity ratio between keystrokes and mouse clicks, and switching frequency of application software. On the basis of these results, we developed a probabilistic work continuance model whose probability changes according to the four features. The leave-one-out cross-validation indicated positive correlations between the actual and the predicted durations. The medians of the actual and the predicted durations were 539 s and 519 s. The main contribution of this study is the demonstration of the feasibility to predict uninterruptible durations in an actual working scenario.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDP7168/_p
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@ARTICLE{e103-d_4_838,
author={Shota SHIRATORI, Yuichiro FUJIMOTO, Kinya FUJITA, },
journal={IEICE TRANSACTIONS on Information},
title={Predicting Uninterruptible Durations of Office Workers by Using Probabilistic Work Continuance Model},
year={2020},
volume={E103-D},
number={4},
pages={838-849},
abstract={In order not to disrupt a team member concentrating on his/her own task, the interrupter needs to wait for a proper time. In this research, we examined the feasibility of predicting prospective interruptible times of office workers who use PCs. An analysis of actual working data collected from 13 participants revealed the relationship between uninterruptible durations and four features, i.e. type of application software, rate of PC operation activity, activity ratio between keystrokes and mouse clicks, and switching frequency of application software. On the basis of these results, we developed a probabilistic work continuance model whose probability changes according to the four features. The leave-one-out cross-validation indicated positive correlations between the actual and the predicted durations. The medians of the actual and the predicted durations were 539 s and 519 s. The main contribution of this study is the demonstration of the feasibility to predict uninterruptible durations in an actual working scenario.},
keywords={},
doi={10.1587/transinf.2019EDP7168},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Predicting Uninterruptible Durations of Office Workers by Using Probabilistic Work Continuance Model
T2 - IEICE TRANSACTIONS on Information
SP - 838
EP - 849
AU - Shota SHIRATORI
AU - Yuichiro FUJIMOTO
AU - Kinya FUJITA
PY - 2020
DO - 10.1587/transinf.2019EDP7168
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2020
AB - In order not to disrupt a team member concentrating on his/her own task, the interrupter needs to wait for a proper time. In this research, we examined the feasibility of predicting prospective interruptible times of office workers who use PCs. An analysis of actual working data collected from 13 participants revealed the relationship between uninterruptible durations and four features, i.e. type of application software, rate of PC operation activity, activity ratio between keystrokes and mouse clicks, and switching frequency of application software. On the basis of these results, we developed a probabilistic work continuance model whose probability changes according to the four features. The leave-one-out cross-validation indicated positive correlations between the actual and the predicted durations. The medians of the actual and the predicted durations were 539 s and 519 s. The main contribution of this study is the demonstration of the feasibility to predict uninterruptible durations in an actual working scenario.
ER -