The Theoretical Analysis on Cognitive Process of the Safety Signs Based on Neuro-IE

2013 ◽  
Vol 319 ◽  
pp. 286-291 ◽  
Author(s):  
Xiao Hong Zhou ◽  
Ming Liang Chen ◽  
Xiao Yi Wang ◽  
Liang Wang

It’s a sort of safety management strategy of setting safety signs in production site in order to make people be alert and evade danger by transmitting dangerous signal. Based on the reviews of traditional cognitive process models such as C-HIP model and information communication model, combining the theoretical results of emerging Neuro-IE, this paper provides a cognitive process model (3N-Model) of safety sign on the basis of Neuro-IE, explains the model and gives a number of management inspirations by combining with the model.

Author(s):  
Tetsuo Tomiyama

Abstract This paper proposes a new design process model that unifies theoretical results of General Design Theory (GDT) and empirical findings obtained from design experiments. It first reviews the design process models that were developed within theoretical work on GDT. Then, we describe experimental work on design based on protocol analysis, which resulted in a cognitive design process model from which further a computable design process model was derived. While these experimental results are supposed to support the theoretical conclusions obtained from GDT, we could also find out incompatibilities. We then propose a new design process model, called the refinement design process model, that can unify both theoretical results of GDT and experimental finding obtained from design experiments. The refinement model has better agreements with experimental findings and suggests various issues as a guiding principle to develop a future, advanced CAD system that helps a designer to focus on functional information. We propose and illustrate the concepts of such an advanced CAD system equipped with intensive design knowledge, called a computational framework for knowledge intensive engineering.


2020 ◽  
Author(s):  
Jana Bianca Jarecki ◽  
Jolene Tan ◽  
Mirjam Jenny

The term process model is widely used but rarely agreed upon. This paper proposes a framework for characterizing and building cognitive process models. Process models model not only inputs and outputs but also model the ongoing information transformations at a given level of abstraction. We argue that four dimensions characterize process models: They specify intermediate stages containing the hypothesized mental information processing. They make predictions not only for the behavior of interest but also for process-related variables. Third, the models’ process predictions can be derived from the input without reverse inference from the output data. Fourth, the presumed information transformation steps are not contradicting current knowledge of human cognitive capacities. Finally, process models require a conceptual scope specifying what the model refers to, that is, the information entering the mind, the proposed mental events, and the behavior of interest. This framework can be used for refining models before testing them or after testing them empirically, and it does not rely on specific modeling paradigms. It can be a guideline for developing cognitive process models. Moreover, the framework can advance currently unresolved debates about which models belong to the category of process models.


2020 ◽  
Vol 27 (6) ◽  
pp. 1218-1229
Author(s):  
Jana B. Jarecki ◽  
Jolene H. Tan ◽  
Mirjam A. Jenny

AbstractThe term process model is widely used, but rarely agreed upon. This paper proposes a framework for characterizing and building cognitive process models. Process models model not only inputs and outputs but also model the ongoing information transformations at a given level of abstraction. We argue that the following dimensions characterize process models: They have a scope that includes different levels of abstraction. They specify a hypothesized mental information transformation. They make predictions not only for the behavior of interest but also for processes. The models’ predictions for the processes can be derived from the input, without reverse inference from the output data. Moreover, the presumed information transformation steps are not contradicting current knowledge of human cognitive capacities. Lastly, process models require a conceptual scope specifying levels of abstraction for the information entering the mind, the proposed mental events, and the behavior of interest. This framework can be used for refining models before testing them or after testing them empirically, and it does not rely on specific modeling paradigms. It can be a guideline for developing cognitive process models. Moreover, the framework can advance currently unresolved debates about which models belong to the category of process models.


Author(s):  
Pnina Soffer ◽  
Maya Kaner

This paper investigates the need for complementing automated verification of business process models with a validity analysis performed by human analysts. As business processes become increasingly automated through process aware information systems, the quality of process design becomes crucial. Although verification of process models has gained much attention, their validation, relating to the reachability of the process goal, has hardly been addressed. The paper investigates the need for model validation both theoretically and empirically. The authors present a theoretical analysis, showing that process model verification and validation are complementary in nature, and an empirical evaluation of the effectiveness of validity criteria in validating a process model. The theoretical analysis, which relates to different aspects of process model quality, shows that process model verification and validation are complementary in nature. The empirical findings corroborate the effectiveness of validity criteria and indicate that a systematic criteria-supported validity analysis improves the identification of validity problems in process models.


Author(s):  
Miroslav Rusko ◽  
Dana Procházková

Role of Process Models in Safety Management Management is a type of human activity that establishes and ensures the system functions. The process models and project models are currently used for management support. Main aim of the process model is to describe the possible development tendencies as a consequence of certain phenomenon and to define functions and role of functions. The process models enable to compile procedures and scenarios for the situations that have similar features. They are suitable for planning, response and renovation. In this paper, we present the risk management model used at present in professional practice, two simple models from daily practice and the evaluation of process models for crisis management.


2011 ◽  
Vol 22 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Pnina Soffer ◽  
Maya Kaner

This paper investigates the need for complementing automated verification of business process models with a validity analysis performed by human analysts. As business processes become increasingly automated through process aware information systems, the quality of process design becomes crucial. Although verification of process models has gained much attention, their validation, relating to the reachability of the process goal, has hardly been addressed. The paper investigates the need for model validation both theoretically and empirically. The authors present a theoretical analysis, showing that process model verification and validation are complementary in nature, and an empirical evaluation of the effectiveness of validity criteria in validating a process model. The theoretical analysis, which relates to different aspects of process model quality, shows that process model verification and validation are complementary in nature. The empirical findings corroborate the effectiveness of validity criteria and indicate that a systematic criteria-supported validity analysis improves the identification of validity problems in process models.


2010 ◽  
Vol 2 (2) ◽  
pp. 108-127 ◽  
Author(s):  
Christopher Myers ◽  
Kevin Gluck ◽  
Glenn Gunzelmann ◽  
Michael Krusmark

Validating Computational Cognitive Process Models across Multiple TimescalesModel comparison is vital to evaluating progress in the fields of artificial general intelligence (AGI) and cognitive architecture. As they mature, AGI and cognitive architectures will become increasingly capable of providing a single model that completes a multitude of tasks, some of which the model was not specifically engineered to perform. These models will be expected to operate for extended periods of time and serve functional roles in real-world contexts. Questions arise regarding how to evaluate such models appropriately, including issues pertaining to model comparison and validation. In this paper, we specifically address model validation across multiple levels of abstraction, using an existing computational process model of unmanned aerial vehicle basic maneuvering to illustrate the relationship between validity and timescales of analysis.


SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider

This article presents an extended dual-process model of entertainment effects on political information processing and engagement. We suggest that entertainment consumption can either be driven by hedonic, escapist motivations that are associated with a superficial mode of information processing, or by eudaimonic, truth-seeking motivations that prompt more elaborate forms of information processing. This framework offers substantial extensions to existing dual-process models of entertainment by conceptualizing the effects of entertainment on active and reflective forms of information seeking, knowledge acquisition and political participation.


Author(s):  
Jana B Jarecki ◽  
Jolene H Tan ◽  
Mirjam A Jenny

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