Concepts and experiments on psychoanalysis driven computing

Gadalla, Minas; Nikoletseas, Sotiris; Amazonas, José Roberto de Almeida; Rolim, José D. P.

doi:10.1016/j.iswa.2023.200201

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…The decision to use the MBTI was based on its well-established acceptance and validation, which has been demonstrated through numerous previous studies, making it a relevant tool for the objectives of this research. The MBTI's capacity to facilitate psychological profiling using digital platforms such as LinkedIn showcases the potential for combining psychological theories with advanced technologies [68]. Therefore, this methodology confirms the appropriateness of the chosen model for research purposes.…”

Section: ) Layersupporting

confidence: 57%

“…( 5). The intervals assigned to each predominant personality characteristic were based on the results of a previous publication [68], in which the characterization was carried out based on data published on the social network LinkedIn, which we consider a valid example for this research. It is important to note that the aim of the present work is not the exhaustive construction of a personality model.…”

Section: Assignment Of Values To Model Componentsmentioning

confidence: 99%

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A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

Mejia,

Perelló,

Santos-Boada

et al. 2024

IEEE Access

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The emerging Human-Centric Networks (HCN) paradigm shifts the passive role of individuals to an active one, intertwining the uncertainty of network resource usage with human dynamics, which are difficult to analyze and predict. This phenomenon implies an increase in reciprocal interactions between Cyber-Physical-Social Systems (CPSS) and human activities, presenting the challenge of efficiently allocating network resources while taking into account qualitative human uncertainty. In this study, we propose a conceptual model that addresses and quantifies such uncertainties. The proposed model is characterized by its adaptability to various CPSS applications, facilitating its integration into existing applications and future innovations. The adaptability of the model is based on the application of the sociological concept of Boundary Objects (BO), which allows for the structuring of system components and the generation of a reference architecture that facilitates systematic problem solving. To evaluate the model, we propose a use case related to a Vehicle for Hire (VFH) application operating within a 5G network slice. The integration of the proposed model with the OMNET++ simulation framework has allowed to demonstrate the effectiveness of the model in intricate computational environments and have shown its capacity to incorporate previously overlooked elements that are essential for the optimal allocation of resources in CPSS. This study proposes a methodology for comprehending and mitigating the consequences of human uncertainty, emphasizing the significance of a multidisciplinary approach to resource allocation in sophisticated technological systems.INDEX TERMS Cyber-Physical-Social Systems, human-centric networks, human uncertainty modeling, network slicing.

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Section: ) Layersupporting

confidence: 57%

Section: Assignment Of Values To Model Componentsmentioning

confidence: 99%

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

Mejia,

Perelló,

Santos-Boada

et al. 2024

IEEE Access

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“…The worldwide application of the MBTI includes research in Brazil (Frantz, Olivo, Sales, & Silva, 2022), Central India (Venurkar, Srivastava, Shukla, Acharya, Saha, & Deshpande, 2022), Germany (Ventre, Salvador, Martino, & Maturo, 2023), Indonesia (Pavan Kumar & Gavrilova, 2022), Pakistan (Akhtar, Ashfaq, Khalid, & Baig, 2023), Slovenia (Kubale, Lobnikar, & Dvojmoč, 2022), Spain (Gadalla, Nikoletseas, de A. Amazonas, & Rolim, 2023), and Switzerland (Zhang, Yang, Lusha, Leung, & Lau, 2022). Language is not a barrier for the MBTI with studies conducted in Arabic (Mokhaiber Dandash & Asadpour, 2023), Korean (Jeon, Jung, & Shin, 2023), and Spanish (López-Santillán, González, Montes-y-Gómez, & López-Monroy, 2023).…”

Section: • Perceiving Informationmentioning

confidence: 99%

The Association of Personality Characteristics with Learning Strategy Preferences

Conti,

McNeil

2024

JEL

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The purpose of this study was to describe the association between the learning strategy preference of the learners as identified by Assessing The Learning Strategies of AdultS (ATLAS) and the individual personality traits as defined by the Myers-Briggs Type Indicator (MBTI). The sample was 553 adults in Canada and the United States. Two types of analyses were used to investigate the association between learning strategy preferences and personality traits. First, discriminant analysis explored the interaction of personality traits with the learning strategy preference. Second, analysis of variance measured the association of each personality trait with the learning-strategy-preference groups separately. The findings provided several explicit personality traits associated with each learning-strategy-preference group. These findings support the conclusion that a strong association exists between personality traits and learning-strategy-preference characteristics. Learning strategy preferences and personality traits complement each other. Each clarifies and enriches the other. As a result, teachers have two indicators that can help them personalize the teaching-learning environment for each student. Teachers can use the learning-strategy-group descriptions as guides for organizing each learner's instructional activities and plans and as a cognitive framework for uncovering and monitoring student behaviors and alerting teachers to potential learning difficulties for some students. Students can apply the descriptions of the learning-strategy-preference groups to facilitate self-assessment and metacognition. Theory can be enhanced by considering the two concepts of learning strategy preferences and personality traits coupled and by conducting quantitative and qualitative research to test and expand the generalizability of the learning-strategy-group descriptions. (Permission is granted to use Assessing The Learning Strategies of AdultS and the Personality Identity Estimator in practice and research. Links to printable copies and online completion are appended.)

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Personality-based intercultural awareness in undergraduate translation students via postcrossing

Shelestova,

Kalizhanova,

Bedelbayeva

2024

Cogent Arts & Humanities

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Concepts and experiments on psychoanalysis driven computing

Cited by 3 publications

References 20 publications

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

A Multidisciplinary Model to Quantify Human Uncertainty in Human-Centric Cyber-Physical-Social Systems: A 5G Application Use Case

The Association of Personality Characteristics with Learning Strategy Preferences

Personality-based intercultural awareness in undergraduate translation students via postcrossing

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