A Task Centered Approach to Analysing Human Error Tolerance Requirements

In this paper we put forward an approach to deriving and applying human error tolerance requirements. Such requirements are concerned with the response of a system to errors introduced by human operators. The approach provides a means by which operators' tasks can be described and analysed for likely errors and the impact of these errors on system safety can be explored. The approach, based on previous work by the same authors, uses a software engineering notation to provide the bridge between operator models and systems engineering concerns. In this paper the approach is extended to include a more refined understanding of the processes that contribute to human error. The operators' process in achieving goals is understood in terms of structured tasks. With this additional apparatus we are able to capture a more complex set of human error forms

A Task Centered Approach to Analysing Human Error Tolerance Requirements

In this paper we put forward an approach to deriving and applying human error tolerance requirements. Such requirements are concerned with the response of a system to errors introduced by human operators. The approach provides a means by which operators ’ tasks can be described and analysed for likely errors and the impact of these errors on system safety can be explored. The approach, based on previous work by the same authors, uses a software engineering notation to provide the bridge between operator models and systems engineering concerns. In this paper the approach is extended to include a more refined understanding of the processes that contribute to human error. The operators ’ process in achieving goals is understood in terms of structured tasks. With this additional apparatus we are able to capture a more complex set of human error forms.

Uma abordagem para a identificação automática de problemas de usabilidade em interfaces de sistemas web através de reconhecimento de padrões

Recently, some systems have been transferred to the web-based platform. Many services and applications, including those of power systems simulating and planning and automation systems, are developed with Internet-based interface. Usability is mainly a characteristic of the interface and is associated with the functionalities of the systems. It describes how well a product can be used for its intended purpose by its users with efficiency, effectiveness and satisfaction. This paper presents the application of pattern recognition techniques in automatic detection and classification of usability problems in the interface of a web system. The initial focus of this work is focused on identifying potential usability problems in web forms. The potential usability problems of the web form are defined based on the recommendations described in the literature. The tasks performed by the user are obtained through analysis of user interaction stored in log files. The classification of tasks which are performed as expected and what are considered potential usability problems is performed by an Artificial Neural Network.CAPESRecentemente, alguns sistemas estão sendo transferidos para a plataforma web. Muitos serviços e aplicações, incluindo sistemas de simulação e planejamento de energia e sistemas de automação, são desenvolvidos com interfaces baseadas na Internet. A usabilidade é a principal característica de uma interface e está associada com as funcionalidades de um sitema. Ela descreve o quão bem um produto pode ser utilizado para os fins propostos por seus usuários com eficácia, eficiência e satisfação. Este trabalho apresenta a aplicação de técnicas de Reconhecimento de Padrões na detecção e classificação automática de problemas de usabilidade na interface de um sistema web. O foco inicial do trabalho é centrado na identificação de possíveis problemas de usabilidade em formulários web. Os potenciais problemas de usabilidade do formulário web são definidos a partir das recomendações descritas na literatura. As tarefas realizadas pelo usuário são obtidas através da análise da interação do usuário armazenada em arquivos de log. A classificação de quais tarefas são realizadas conforme o esperado e quais são consideradas potenciais problemas de usabilidade é realizada através de uma Rede Neural Artificial