scholarly journals A Framework for Building Cognitive Process Models

2020 ◽  
Author(s):  
Jana Bianca Jarecki ◽  
Jolene Tan ◽  
Mirjam Jenny
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Current Knowledge ◽  
Process Models ◽  
Four Dimensions ◽  
Information Transformation ◽  
The Mind ◽  
Mental Events ◽  
Specific Modeling ◽  
Reverse Inference

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.

scholarly journals A framework for building cognitive process models

2020 ◽  
Vol 27 (6) ◽  
pp. 1218-1229
Author(s):  
Jana B. Jarecki ◽  
Jolene H. Tan ◽  
Mirjam A. Jenny
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Current Knowledge ◽  
Process Models ◽  
Levels Of Abstraction ◽  
Information Transformation ◽  
The Mind ◽  
Mental Events ◽  
Specific Modeling ◽  
Reverse Inference

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.

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
Keyword(s):  
Theoretical Analysis ◽  
Cognitive Process ◽  
Management Strategy ◽  
Process Model ◽  
Safety Management ◽  
Process Models ◽  
Communication Model ◽  
Information Communication ◽  
Model Combining ◽  
Theoretical Results

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.

All in the mind: concept analysis in indexing

1995 ◽  
Vol 19 (4) ◽  
pp. 243-247
Author(s):  
John Farrow
Keyword(s):  
Information Processing ◽  
Cognitive Process ◽  
Text Comprehension ◽  
Process Model ◽  
Concept Analysis ◽  
Human Information Processing ◽  
Index Terms ◽  
The Mind

The indexing process consists of the comprehension of the document to be indexed, followed by the production of a set of index terms. Differences between academic indexing and back-of-book indexing are discussed. Text comprehension is a branch of human information processing, and it is argued that the model of text comprehension and production developed by van Dijk and Kintsch can form the basis for a cognitive process model of indexing. Strategies for testing such a model are suggested.

A systematic literature review of process modeling guidelines and their empirical support

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diego Toralles Avila ◽  
Rubens Ideron dos Santos ◽  
Jan Mendling ◽  
Lucineia Heloisa Thom
Keyword(s):  
Literature Review ◽  
Empirical Evidence ◽  
Systematic Literature Review ◽  
Process Modeling ◽  
Process Model ◽  
Current Knowledge ◽  
Empirical Support ◽  
Process Models ◽  
Model Quality ◽  
Content Type

PurposeProcess modeling guidelines are a valuable instrument for increasing the quality of process models. Since finding and selecting suitable guidelines are challenging, this paper aims to find and select suitable guidelines because they are scattered across the many studies of the literature. Also, not all of them are supported by empirical studies.Design/methodology/approachThe authors conducted a systematic literature review to collect and analyze process modeling guidelines present in the literature and the empirical evidence that supports them.FindingsThe authors investigated a total of 793 articles and identified a total of 45 process modeling guidelines in five different categories. For each of these guidelines, the authors report empirical evidence together with corresponding measures, such as comprehension accuracy and error probability.Originality/valueCompared to the prior literature reviews on process model quality and process modeling guidelines, this article extends current knowledge by analyzing the empirical evidence and variables associated with each guideline. This analysis provides guidance for practitioners and scholars on which guidelines to use while modeling a process and perform further research on.

scholarly journals Validating Computational Cognitive Process Models across Multiple Timescales

2010 ◽  
Vol 2 (2) ◽  
pp. 108-127 ◽  
Author(s):  
Christopher Myers ◽  
Kevin Gluck ◽  
Glenn Gunzelmann ◽  
Michael Krusmark
Keyword(s):  
Cognitive Process ◽  
Process Model ◽  
Model Comparison ◽  
Cognitive Architecture ◽  
Process Models ◽  
Cognitive Architectures ◽  
Levels Of Abstraction ◽  
Multiple Timescales ◽  
Functional Roles ◽  
Aerial Vehicle

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.

Politikvermittlung an der Schnittstelle von Unterhaltung und Information : Political communication at the interface of entertainment and information

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider
Keyword(s):  
Information Processing ◽  
Political Participation ◽  
Knowledge Acquisition ◽  
Political Communication ◽  
Information Seeking ◽  
Process Model ◽  
Political Information ◽  
Process Models ◽  
Dual Process ◽  
Dual Process Model

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.

What is a Cognitive Process Model? A Disambiguation

2015 ◽  
Author(s):  
Jana B Jarecki ◽  
Jolene H Tan ◽  
Mirjam A Jenny
Keyword(s):  
Cognitive Process ◽  
Process Model

scholarly journals Development of training method for vessel traffic service based on cognitive process

2021 ◽  
Author(s):  
Binbing Song ◽  
Hiroko Itoh ◽  
Yasumi Kawamura
Keyword(s):  
Cognitive Processes ◽  
Cognitive Process ◽  
Process Model ◽  
Situational Awareness ◽  
International Association ◽  
Tokyo Bay ◽  
Training Methods ◽  
Training Method ◽  
Oral Transmission ◽  
Maritime Traffic

AbstractVessel traffic service (VTS) is important to protect the safety of maritime traffic. Along with the expansion of monitoring area per VTS operator in Tokyo Bay, Japan, inexperienced operators must acquire the ability to quickly and accurately detect conditions that requires attention (CRAs) from a monitoring screen. In our previous study (Song B, Itoh H, Kawamura Y, Fukuto J (2018) Analysis of Cognitive Processes of Operators of Vessel Traffic Service. In: Proceedings of the 2018 International Association of Institutes of Navigation. IAIN 2018, pp 529–534, Song et al., J Jpn Inst Navig 140:48–54, 2019), we established a task analysis method based on the assumption that the cognitive process model consists of three stages: “situational awareness”, “situation judgment”, and “decision making”. A simulation experiment was conducted for VTS operators with different levels of ability and their cognitive processes were compared based on the observation of eye movements. The results showed that the inexperienced operators’ abilities to predict situation changes were lower. And it was considered that oral transmission of the knowledge is difficult, thus new training methods are needed to help the inexperienced operators to understand the prediction methods of experienced operators. In this study, based on the cognitive process of an experienced operator, we analyzed the prediction procedures of situation changes and developed an educational tool called vessel traffic routine (VTR). The training method learning VTR aims to quickly improve inexperienced VTS operators’ abilities to predict situation changes. A simulation verification experiment of the VTR effect was conducted for four inexperienced operators, who were divided into two groups with and without prior explanation of VTR. By evaluating the cognitive processes of inexperienced operators, it was confirmed that those given prior explanations of VTR were better at detecting CRAs.

A cognitive process model of trust repair

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edward C. Tomlinson ◽  
Christopher A. Nelson ◽  
Luke A. Langlinais
Keyword(s):  
Structural Change ◽  
Organizational Justice ◽  
Attribution Theory ◽  
Cognitive Process ◽  
Process Model ◽  
Causal Attribution ◽  
Content Type ◽  
Trust Repair ◽  
Nuanced Understanding ◽  
Practical Implications

Purpose This paper aims to investigate how the reparative efforts of extensive apologies, compensation and structural change affect trust after a violation has occurred. Specifically, this paper presents a cognitive process model positing that voluntary reparative efforts will shape the victim’s stability attributions for the cause of the violation such that it will be deemed less stable (i.e. unlikely to recur); as a result, the victim is more likely to perceive the transgressor as being fair, and hence extend subsequent trust. Design/methodology/approach Two experiments were conducted to test the cognitive process model. Findings The results of both experiments supported this predicted sequence for extensive apologies. Support for the predicted sequence was also found when compensation and structural change are invoked as reparative efforts. Originality/value This research has theoretical and practical implications for a more nuanced understanding of how causal attribution theory and organizational justice theory can be integrated within the context of trust repair.

Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Paul Witherell ◽  
Shaw Feng ◽  
Timothy W. Simpson ◽  
David B. Saint John ◽  
Pan Michaleris ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Metal Powder ◽  
Manufacturing Process ◽  
Process Model ◽  
Model Development ◽  
Process Models ◽  
Powder Bed Fusion ◽  
Powder Bed ◽  
Future Work ◽  
Am Processes

In this paper, we advocate for a more harmonized approach to model development for additive manufacturing (AM) processes, through classification and metamodeling that will support AM process model composability, reusability, and integration. We review several types of AM process models and use the direct metal powder bed fusion AM process to provide illustrative examples of the proposed classification and metamodel approach. We describe how a coordinated approach can be used to extend modeling capabilities by promoting model composability. As part of future work, a framework is envisioned to realize a more coherent strategy for model development and deployment.

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