Akinori KOMATSUBARA’s research while affiliated with Waseda University and other places

... To address these accidents, traditional risk assessment process like ISO/IEC Guide 51 (Safety Aspect -Guidelines for their inclusion in standards) will be helpful. However, as this process is sometimes diffuse because it must start from forecasting every usage case, we have proposed an analysis method for the worst accidents reasons AMWAR [3]. First identifying obvious hazards like electric, mechanical, chemical hazards etc. in the product targeted, and then thinking how to cause highrisk accidents using the sabotage analysis concept [4]. ...

Reference:

Proposal of an Analysis Method to Discover Hidden Hazards (AMDHH) in Consumer Products

... For instance, a study using the confidential claims database of the American College of Surgeons found that most surgical complications resulting in malpractice claims are not caused by intraoperative technical errors but by deficiencies in non-technical skills, such as poor communication [10]. Additionally, a 2017 study by Uramatsu and colleagues found that deficiencies in non-technical skills were a major contributing factor to adverse events in more than 50% of all fatal medical incidents [11]. ...

Reference:

The impact of intraoperative non-technical skills training on scrub practitioners’ self-efficacy: a randomized controlled trial

... The reason for this is that, given eye movement and web log data, what we want to know is the possibility of purchase, which corresponds well to the concept of a posterior probability. Another reason is that many existing research examples [5][6][7] demonstrate that feelings and behavior are sufficiently inferred by the use of Bayesian network models. ...

Reference:

Bayesian Network Model that Infers Purchase Probability in an Online Shopping Site

... Conventionally, any versatile simulation system for climbing behavior have not been developed. However, as for hexahedron, a statistical model for evaluating the probability of climbing occurrence was created by Nomori et al. (2009). So we compare the developed system with the statistical model in order to partially evaluate the validity of the developed prediction system. ...

Reference:

Data-driven child behavior prediction system based on posture database for fall accident prevention in a daily living space

... Text mining technology is also used in the medical field [18]- [20]. As an application to product accidents, Nomori et al. [21] extracted the section which caused each accident from the product accident report. In this paper, we proposed an automatic labeling method for accident reports based on the Mechanism codes of the ICECI using the above text mining technologies. ...

Reference:

Development of an Unsupervised Learning Methods for Classification of Accident Reports without Code Information

... Scholars studying non-users tried to define which factors played a role in usage versus non-usage of technology. Suggestions have included a lack of skills, confidence (Nakatani et al. 2012), complexity of use and other demographic factors (e.g. age, gender, marital status, socio-economic status) (Wyatt, Thomas, and Terranova 2002;Lenhart et al. 2003;Selwyn 2003). ...

Reference:

Inattentive, imprudent and inapt: discovering inadequacies of ICT during life-changing events through the lens of non-users