Applying a Psychotherapeutic Theory to the Modeling of Affective Intelligent Agents

Sánchez, Yanet; Coma, Teresa; Aguelo, Antonio; Cerezo, Eva

doi:10.1109/tcds.2019.2911643

Cited by 5 publications

(2 citation statements)

References 32 publications

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“…In the case of BDI architectures, those that include affective aspects that influence the cognitive process are known as EBDI. EBDI agents can be classified into two main groups: (1) those that incorporate emotions and (2) those that consider other aspects such as personality, emotional state, empathy, coping mechanisms and emotional regulation [63].…”

Section: Generating Emotional Responsesmentioning

confidence: 99%

Design of an Immersive Virtual Reality Framework to Enhance the Sense of Agency Using Affective Computing Technologies

Ortiz,

Elizondo

2023

Applied Sciences

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Virtual Reality is expanding its use to several fields of application, including health and education. The continuous growth of this technology comes with new challenges related to the ways in which users feel inside these virtual environments. There are various guidelines on ways to enhance users’ virtual experience in terms of immersion or presence. Nonetheless, there is no extensive research on enhancing the sense of agency (SoA), a phenomenon which refers to the self-awareness of initiating, executing, and controlling one’s actions in the world. After reviewing the state of the art of technologies developed in the field of Affective Computing (AC), we propose a framework for designing immersive virtual environments (IVE) to enhance the users’ SoA. The framework defines the flow of interaction between users and the virtual world, as well as the AC technologies required for each interactive component to recognise, interpret and respond coherently within the IVE in order to enhance the SoA.

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Section: Generating Emotional Responsesmentioning

confidence: 99%

Design of an Immersive Virtual Reality Framework to Enhance the Sense of Agency Using Affective Computing Technologies

Ortiz,

Elizondo

2023

Applied Sciences

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“…Traditionally, psychology has had a special interest in studying which factors improve the living standards of people [12][13][14][15]. Among these factors, we can find study of the term "Flow", which has been widely researched by many authors in recent years [16].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People

Pegalajar

Ruiz

Pérez-Moreiras³

et al. 2023

BDCC

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The goal of this study is to estimate the state of consciousness known as Flow, which is associated with an optimal experience and can indicate a person’s efficiency in both personal and professional settings. To predict Flow, we employ artificial intelligence techniques using a set of variables not directly connected with its construct. We analyse a significant amount of data from psychological tests that measure various personality traits. Data mining techniques support conclusions drawn from the psychological study. We apply linear regression, regression tree, random forest, support vector machine, and artificial neural networks. The results show that the multi-layer perceptron network is the best estimator, with an MSE of 0.007122 and an accuracy of 88.58%. Our approach offers a novel perspective on the relationship between personality and the state of consciousness known as Flow.

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Comparative Analytical Survey on Cognitive Agents with Emotional Intelligence

Zall

Kangavari

2022

Cogn Comput

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Applying a Psychotherapeutic Theory to the Modeling of Affective Intelligent Agents

Cited by 5 publications

References 32 publications

Design of an Immersive Virtual Reality Framework to Enhance the Sense of Agency Using Affective Computing Technologies

Design of an Immersive Virtual Reality Framework to Enhance the Sense of Agency Using Affective Computing Technologies

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People

Comparative Analytical Survey on Cognitive Agents with Emotional Intelligence

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