Artificial intelligence and human emotions

Artificial Emotional Intelligence is a newly growing sub-field of artificial intelligence that deals with recognition of human emotions and representation of human like emotion by machines. This paper intends to explain the interaction of human beings with machines and the method by which it can be enriched by adding artificial emotional intelligence to machines. In addition to it, the paper explains the implementation of artificial emotional intelligence in machine along with the flow chart and implementation algorithm. The paper also focuses on working procedure of emotionally sensitive machines and how they can help user to increase productivity of user and keeping him emotionally stable.

Procedia Computer Science, 2017

The paper describes and discusses processes needed for human emotional behaviour simulation, in particular, emotion incorporation into rational thinking, as well as presents corresponding agent architecture. Such system would enable various application fields, perhaps one of the most important being enhancing smart devices with emotions. Decreasing frequency of social contact has become an urgent issue, particularly among young people. Emotional and social intelligence are however highly desired set of skills which is impossible to develop without interacting with others. Although this problem has been acknowledged, and there are some efforts to facilitate social contact, e.g., by augmented virtual reality games, that is still not enough. There is a need to develop environment that would allow learning exactly social and emotional skills. This ongoing research aims at developing intelligent agents that are able to express and incorporate affects into rational processes.

The Science of Emotional Intelligence: Knowns and …, 2007

For half a century, artificial intelligence researchers have focused on giving machines linguistic and mathematical-logical reasoning abilities, modeled after the classic linguistic and mathematical-logical intelligences. This chapter describes new research that is giving machines (including software agents, robotic pets, desktop computers, and more) skills of emotional intelligence. Machines have long been able to appear as if they have emotional feelings, but now machines are also being programmed to learn when and how to display emotion in ways that enable the machine to appear empathetic or otherwise emotionally intelligent. Machines are now being given the ability to sense and recognize expressions of human emotion such as interest, distress, and pleasure, with the recognition that such communication is vital for helping machines choose more helpful and less aggravating behavior. This chapter presents several examples illustrating new and forthcoming forms of machine emotional intelligence, highlighting applications together with challenges to their development.

Cybernetics and Systems, 2001

We present a preliminary definition and a theory of emotion viewed as a sequential process comprising the appraisal of the agent global state, the generation of an emotion-signal and an emotion-response. This theory distinguishes cognitive from affective appraisal on an architecture-grounded basis. A scheme for emotion classification with five dimensions is presented. Among them, we emphasize the roles played by emotions and the way these roles are fulfilled. It is shown how emotions are generated, represented and used in the Salt & Pepper architecture for autonomous agents [Botelho 1997]: emotion-signals, represented by label, valence and intensity, are generated by the affective engine through the appraisal of the agent's global state; for each emotion-signal there are several nodes stored and interconnected in the behavioral or in the cognitive networks of the agent; each of these nodes contains an emotion response that may be executed when an emotion-signal is generated; emotion intensity relates to the activation of the node. The implementation of a concrete example is fully described.

Asian Journal of Current Research, 2024

Although artificial intelligence has made significant strides in analyzing extensive datasets and recognizing intricate patterns, it still struggles to replicate the nuanced understanding of human emotions. This study aims to explore the complex relationship between emotional intelligence (EI) and AI, investigating the potential for AI to enhance our understanding and development of EI. Emotion detection in AI often involves analyzing facial expressions, speech patterns, and physiological cues. However, incorporating cultural diversity and biases into training datasets can hinder accuracy and efficiency. A promising area of future research is the development of AI systems capable of not only perceiving emotions but also demonstrating emotional intelligence. Such systems could revolutionize human-robot interactions, fostering more genuine and empathetic connections. Delving into the relationship between EI and AI can gain a deeper understanding of AI's emotional intelligence, appreciating its capabilities and limitations. This knowledge can pave the way for more compassionate and effective human-AI interactions. This knowledge can inform the development of more sophisticated AI systems that can contribute to our own emotional growth and well-being.

Psychology researches are progressively showing however feeling plays an important role in psychological feature processes. Gradually, this information is getting used in Artificial Intelligent and Artificial Life areas in simulation and psychological feature processes modeling. However, theoretical aspects of feeling to use in procedure systems comes are scarcely mentioned and really few comparisons are created between comes. Besides, we can notice that there are several open queries emotion-based comes may face to field development. This paper intends to discuss these issues and suggest tentative directions to unravel them.

International Journal of Scientific and Research Publications (IJSRP), 2021

This paper investigates the aspects and interpretations of emotions, which might contribute to creating intelligent systems. Recent findings in different scientific disciplines suggest a new view of the relationship between cognitive processes and emotions. Emotions are no longer seen as mental qualities that limit rationality. It is now understood that emotions play a critical role in intelligent behavior and offer a great potential for designing artificial agents and more natural and expressive interactive technologies.

2020

​—In this paper, we explore the potentials of artificial intelligence and the benefits which can be brought about through its advancements. The purpose of the paper is to discuss how closely AI devices are able to mimic Human Intelligence and if there is a possibility that machines will be able to surpass this intelligence. In order to achieve this, first, we focus on the history of AI and many of its accomplishments over a period of 70 years. Not only do we take a look at the first instance in which an individual questions the difference in Machine and Human Intelligence, but we also look at how AI’s foundation was built by the head of Artificial Intelligence, John McCarthy, and his four colleagues. Next, we discuss different AI types classified by two different aspects: capability and functionality. By defining the classifications of AI, we are then able to pinpoint how far humanity has come in creating machines which can mimic Human Intelligence. We analyze Kismet, the very first...

IGI Global, 2025

In this era of technological advancement, the once-clear distinction between human intelligence and artificial intelligence is becoming blurred. From Google's search engine to Alexa, artificial intelligence has captured many aspects of our lives. With the involvement of robots and artificial intelligence in our lives, one needs to ponder upon the implications of human-robot interactions and understand artificial intelligence better as robots are becoming a significant part of our living and working alongside humans, especially in the health care domain. This gaining dependability of humans on robots poses a question: can such a 'care Bot' really care without having genuine emotions? Can we distinguish between robots and humans? Can human interaction with robots be the same as human-human interaction? The concept that weaves humans together is the concept of 'trust'; does this concept prevail in human-robot relationships? Can the active participation of robots in society make them social robots? Can we call them social robots?