Eye-tracking analysis of computer networks exam question besides different skilled groups

Ujbányi, Tibor; Katona, József; Sziladi, Gergely; Kővári, Attila

doi:10.1109/coginfocom.2016.7804561

Cited by 49 publications

(23 citation statements)

References 10 publications

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“…However, there are variables associated with psychological competencies that require a more detailed analysis from strategies that allow for the analysis of the behaviours of an aspirant when making certain decisions. To this end, it is suggested to apply tests by implementing methodologies based on eye tracking, as supported by Bobić and Graovac (2016), with which it is possible to capture subjective aspects such as facial expressions or vision, from more specific tests, as detailed in Ujbanyi et al (2016) and Zhang and Chen (2016).…”

Section: Discussionmentioning

confidence: 99%

Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Albadán¹,

Gaona²,

Montenegro³

et al. 2018

Informatica

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Non-programmed decision-making is an activity that requires a number of methods to try to capture the rational behaviour of an aspirant in situations of uncertainty. Thus, there is a varied list of attributes, methods, and mechanisms that are intended to describe the way in which aspirants can be profiled. However, this modelling proves to be complex if it is approached in scenarios based on game mechanics from gamification. For this reason, the following article aims to contribute to the processes of selection of personnel delimited only to the making of non-programmed decisions, through the implementation of game mechanics. In order to model this selection, the purpose of the following study is to carry out the formulation of inference rules based on fuzzy logic in order to capture the tacit transfer of certain types of information in personnel selection processes and to determine aspects that allow the shaping of aspirants. Finally, the results and conclusions obtained are presented.

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Section: Discussionmentioning

confidence: 99%

Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Albadán¹,

Gaona²,

Montenegro³

et al. 2018

Informatica

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“…After examining the results, it can be seen that test subjects who made many minor modifications as well as more frequent compilations and runs with less efficiency and more time required, discovered and corrected more hidden errors in the source code than those who placed more emphasis on interpretation, and they used the ability to compile and run the application less often. T. Ujbanyi et al [15] examine eye movement parameters in the context of the acquisition of IT skills. The results obtained show that differences in gaze movement can be detected in students with different levels of knowledge, from which conclusions can be stated and related to effectiveness, success or failure of learning.…”

Section: Human-computer Interaction (Hci)mentioning

confidence: 99%

A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications

Katona

2021

Applied Sciences

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Cognitive infocommunications (CogInfoCom) is a young and evolving discipline that is at the crossroads of information and communication technology (ICT) and cognitive sciences with many promising results. The goal of the field is to provide insights into how human cognitive capabilities can be merged and extended with the cognitive capabilities of the digital devices surrounding us, with the goal of enabling more seamless interactions between humans and artificially cognitive agents. Results in the field have already led to the appearance of numerous CogInfoCom-based technological innovations. For example, the field has led to a better understanding of how humans can learn more effectively, and the development of new kinds of learning environment have followed accordingly. The goal of this paper is to summarize some of the most recent results in CogInfoCom and to introduce important research trends, developments and innovations that play a key role in understanding and supporting the merging of cognitive processes with ICT.

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“…In this work, we exploit these learned associations among the abstract concepts to simulate a regulated recall operation. In recent years, advances in technologies have played an essential role in cognitive and psychological research, e.g., use of devices like GP3 [16], TheEyeTribe [17], and electroencephalography (EEG) [18,19] to study visual attention. In this article, we focus on representations of computational models that are also very useful in understanding the psychological and cognitive phenomena, validating the existing cognitive theories, and helping to formulate fresh ideas related to cognition [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Emulating Cued Recall of Abstract Concepts via Regulated Activation Networks

et al. 2021

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concepts play a vital role in decision-making or recall operations because the associations among them are essential for contextual processing. Abstract concepts are complex and difficult to represent (conceptually, formally, or computationally), leading to difficulties in their comprehension and recall. This contribution reports the computational simulation of the cued recall of abstract concepts by exploiting their learned associations. The cued recall operation is realized via a novel geometric back-propagation algorithm that emulates the recall of abstract concepts learned through regulated activation network (RAN) modeling. During recall operation, another algorithm uniquely regulates the activation of concepts (nodes) by injecting excitatory, neutral, and inhibitory signals to other concepts of the same level. A Toy-data problem is considered to illustrate the RAN modeling and recall procedure. The results display how regulation enables contextual awareness among abstract nodes during the recall process. The MNIST dataset is used to show how recall operations retrieve intuitive and non-intuitive blends of abstract nodes. We show that every recall process converges to an optimal image. With more cues, better images are recalled, and every intermediate image obtained during the recall iterations corresponds to the varying cognitive states of the recognition procedure.

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Eye-tracking analysis of computer networks exam question besides different skilled groups

Cited by 49 publications

References 10 publications

Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications

Emulating Cued Recall of Abstract Concepts via Regulated Activation Networks

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