Title
Toward Automated Reduction of Human Errors Based on Cognitive Analysis
Abstract
Following the immense development of cyber society where various activities including e-commerce take place, the demands for security is rapidly growing. Among major causes of security flaws is human error, which is unintentionally caused by humans. To cope with that, we intend to build a human error database that automatically develops further. We conducted a survey on human factors and concluded that the root causes of human errors are related to the internal mental processes, and the cognitive-psychological methodology is a feasible for the estimation of them. Based on that this paper proposes a framework that consists of data collection methods and data structure. It also explores the usability of the data by presenting use cases of human error prevention and incident handling.
Year
DOI
Venue
2013
10.1109/IMIS.2013.147
Innovative Mobile and Internet Services in Ubiquitous Computing
Keywords
Field
DocType
cyber society,security flaw,data collection method,immense development,human error prevention,cognitive analysis,human error,human factor,cognitive-psychological methodology,human error database,automated reduction,data structure,cognitive psychology,data collection methods,organizations,cyber security,information security,human factors,cognitive science,data structures,ontology,cognition,psychology
Ontology,Data collection,Data structure,Use case,Computer science,Computer security,Usability,Cognitive analysis,Human error,Cognition
Conference
Citations 
PageRank 
References 
1
0.36
18
Authors
2
Name
Order
Citations
PageRank
Daisuke Miyamoto172.55
Takeshi Takahashi26812.60