TY - CHAP A1 - Hojo, Rieko A1 - Bördlein, Christoph A1 - Hamajima, Kyoko A1 - Umezaki, Shigeo A1 - Shimizu, Shoken T1 - For a quantitative evaluation of risk assessment - behavior-based safety T2 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) N2 - There are novel structures of society such as Industry 4.0 and Connected Industries. Under the structures, a novel safety management system considering man-machine interaction is very important topic. Safety 2.0, a new safety control, is proposed from Japan. It seems that direct and quantitative validity of risk assessment and risk reduction measure such as reinforcement of safety behavior and/or reduction of unsafe behavior is now not sufficiently accomplished. Some quantitative assessment for residual risks focusing on worker's behavior is necessary to make Vision Zero function better. We introduce to a principle of Behavior-Based Safety (BBS) which might be applicable to reduce residual risk for safety of workers. BBS, focused on behavioral modification using principle of reinforcement, is one group of Behavior Analysis of Psychology. Goals of BBS is prediction, control and quantitative measurement of target behavior. Y1 - 2020 U6 - https://doi.org/10.1109/LifeTech48969.2020.1570619864 ER - TY - CHAP A1 - Hojo, Rieko A1 - Sujino, Tetsuo A1 - Bördlein, Christoph A1 - Koremura, Yuka A1 - Shimizu, Shoken T1 - Risk distribution method from worker behavior measurement using Behavior-Based Safety procedure T2 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) N2 - For the purpose of optimizing work behavior to prevent human error, we conducted an experiment to measure human behavior in an experimental environment imitating a worksite. The experimental results were divided into each stage of work execution, and detailed analysis was performed by a behavior analysis method. As a result, as measures to optimize work behavior, work standards (rules) have been improved (measures by providing information), machine design changes (essential measures), and procedures have been changed to take into account error prevention (equipment-like). In addition, it became clear that it is possible to classify workers themselves into training (measures by behavior change). This result seems to be useful as one of the methods to disperse risk measures for avoiding human error. Y1 - 2021 U6 - https://doi.org/10.1109/LifeTech52111.2021.9391969 PB - IEEE ER - TY - JOUR A1 - Hojo, Rieko A1 - Bördlein, Christoph A1 - Kikkawa, Naotaka A1 - Shimizu, Shoken T1 - Wearables und verhaltensorientierte Sicherheit im Rahmen des unterstützenden Sicherheitssystems SSS in Japan T1 - Safeguarding Supportive System (SSS) using wearable devices and behavior-based safety in Japan JF - DGUV Forum N2 - In Japan entwickeln und überprüfen Forscher neuartige Systeme für mehr Arbeitssicherheit auf Basis von Wearables und Clouds. Wie kann Informations- und Kommunikationstechnik den unberechtigten Zutritt zu Arbeitsbereichen verhindern? Lässt sich das Verhalten von Beschäftigten voraussagen und beeinflussen? Kann die innovative Technik Arbeitsunfälle verhindern, ohne den Datenschutz zu vernachlässigen? Y1 - 2020 UR - https://forum.dguv.de/ausgabe/9-2020/artikel/wearables-und-verhaltensorientierte-sicherheit-im-rahmen-des-unterstuetzenden-sicherheitssystems-sss-in-japan IS - 9 SP - 26 EP - 28 ER -