scholarly journals Blue Eyes Technology

2022 ◽  
pp. 145-152
Author(s):  
Sushma L. Wakchaure ◽  
Bipin B. Shinde ◽  
Sarika U. Kadlag ◽  
Vijay V. Thitme
Keyword(s):  
Physiological Condition ◽  
Emotional State ◽  
Emotional States ◽  
Human Beings ◽  
Video Cameras ◽  
Human Power ◽  
Brain Involvement ◽  
Perceptual Abilities ◽  
Blue Eyes ◽  
Sensory Ability

The Blue Eyes technology aims at creating computational machines that have perceptual and sensory ability like those of human beings. It uses non-obtrusive sensing method, employing most modern video cameras and microphones to identify the user’s actions through the use of imparted sensory abilities. The machine can understand what a user wants, where he is looking at, and even realize his physical or emotional states. The Blue Eyes Technology developed is intended to be a complex solution for monitoring and recording the operator’s conscious brain involvement as well as his/her physiological condition. This shows yet another development in the field of Brain Computer Interface. The basic idea behind this technology is to give the computer the human power. We all have some perceptual abilities. That is we can understand each other’s feelings. For example we can understand one’s emotional state by analysing his facial expression. If we add these perceptual abilities of human to computers would enable computers to work together with human beings as intimate partners. The “BLUE EYES” technology aims at creating computational machines that have perceptual and sensory ability like those of human beings. This paper discusses the concept of blue eyes technology.

An Agent Infrastructure For the Human Driver Assistant

2013 ◽  
Vol 436 ◽  
pp. 451-459
Author(s):  
Eugen Diaconescu ◽  
Arva Mihai ◽  
Luige Vladareanu
Keyword(s):  
Emotional State ◽  
Group Leader ◽  
Dynamic State ◽  
Legal Authority ◽  
Emotional States ◽  
Digital Signals ◽  
Flow Forming ◽  
Video Cameras ◽  
Human Driver ◽  
And Control

The paper the original development of a device having the ability of data acquisition representing operating and control decisions from operation made by a automotive driver inside the cars cabin presents. The device is producing analogical and digital signals which can be interpreted and statistically processed to obtain information regarding emotional state or abilities of the driver, for example nervous state or his accuracy of the operations done in dynamic state when driving a certain car. The device is portable, it can be installed easily in the cars cabin without any physical intrusions in the structure of the vehicle and after installed it will acquire signals from acceleration, brake, gear shifter, clutch and the velocity of the vehicle. Evaluating the emotional state of the driver and the accuracy of the movements done by him during a driving session, the device can emit acoustic and visual output signals which in a certain manner will help to improve drivers skills. The human driver can interact with this device trough the touch screen display. If more of this devices having typical agents proprieties, are installed on vehicles, they can interact easily between them and communicate with an monitoring authority which is directing the traffics flow forming a SMA. The result of monitoring by a SMA of emotional states of the group of human drivers, as a second solution, complementary with the usage of the monitoring video cameras, can be useful to group leader (the detection of fatigue and exhaustion), or to the traffic flow legal authority (fluidization measures when detecting a growing of nervous state at a certain group in an area).

Effect of Emotions in a Lexical Decision Task

2017 ◽  
Vol 76 (2) ◽  
pp. 71-79 ◽  
Author(s):  
Hélène Maire ◽  
Renaud Brochard ◽  
Jean-Luc Kop ◽  
Vivien Dioux ◽  
Daniel Zagar
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Emotional State ◽  
Control Group ◽  
Decision Task ◽  
Attentional Orienting ◽  
Emotional States ◽  
Sequence Effect ◽  
Emotion Induction ◽  
Before And After

Abstract. This study measured the effect of emotional states on lexical decision task performance and investigated which underlying components (physiological, attentional orienting, executive, lexical, and/or strategic) are affected. We did this by assessing participants’ performance on a lexical decision task, which they completed before and after an emotional state induction task. The sequence effect, usually produced when participants repeat a task, was significantly smaller in participants who had received one of the three emotion inductions (happiness, sadness, embarrassment) than in control group participants (neutral induction). Using the diffusion model ( Ratcliff, 1978 ) to resolve the data into meaningful parameters that correspond to specific psychological components, we found that emotion induction only modulated the parameter reflecting the physiological and/or attentional orienting components, whereas the executive, lexical, and strategic components were not altered. These results suggest that emotional states have an impact on the low-level mechanisms underlying mental chronometric tasks.

scholarly journals Dogs can infer implicit information from human emotional expressions

2021 ◽  
Author(s):  
Natalia Albuquerque ◽  
Daniel S. Mills ◽  
Kun Guo ◽  
Anna Wilkinson ◽  
Briseida Resende
Keyword(s):  
Emotional State ◽  
Food Resource ◽  
Emotional Expressions ◽  
Emotional States ◽  
Emotional Information ◽  
Implicit Information ◽  
Emotional Display ◽  
Affective Information ◽  
Social Decision Making ◽  
Current Behaviour

AbstractThe ability to infer emotional states and their wider consequences requires the establishment of relationships between the emotional display and subsequent actions. These abilities, together with the use of emotional information from others in social decision making, are cognitively demanding and require inferential skills that extend beyond the immediate perception of the current behaviour of another individual. They may include predictions of the significance of the emotional states being expressed. These abilities were previously believed to be exclusive to primates. In this study, we presented adult domestic dogs with a social interaction between two unfamiliar people, which could be positive, negative or neutral. After passively witnessing the actors engaging silently with each other and with the environment, dogs were given the opportunity to approach a food resource that varied in accessibility. We found that the available emotional information was more relevant than the motivation of the actors (i.e. giving something or receiving something) in predicting the dogs’ responses. Thus, dogs were able to access implicit information from the actors’ emotional states and appropriately use the affective information to make context-dependent decisions. The findings demonstrate that a non-human animal can actively acquire information from emotional expressions, infer some form of emotional state and use this functionally to make decisions.

An experimental study on the effect of emotion lines in comics

Semiotica ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Amitash Ojha ◽  
Charles Forceville ◽  
Bipin Indurkhya
Keyword(s):  
Experimental Study ◽  
Emotional State ◽  
Negative Emotions ◽  
Emotional States ◽  
One To One

Abstract Both mainstream and art comics often use various flourishes surrounding characters’ heads. These so-called “pictorial runes” (also called “emanata”) help convey the emotional states of the characters. In this paper, using (manipulated) panels from Western and Indian comic albums as well as neutral emoticons and basic shapes in different colors, we focus on the following two issues: (a) whether runes increase the awareness in comics readers about the emotional state of the character; and (b) whether a correspondence can be found between the types of runes (twirls, spirals, droplets, and spikes) and specific emotions. Our results show that runes help communicate emotion. Although no one-to-one correspondence was found between the tested runes and specific emotions, it was found that droplets and spikes indicate generic emotions, spirals indicate negative emotions, and twirls indicate confusion and dizziness.

scholarly journals The role of emotional service in the restaurant business

2022 ◽  
pp. 164-167
Author(s):  
N. A. Ofitserova
Keyword(s):  
Emotional Intelligence ◽  
Customer Satisfaction ◽  
Emotional Labor ◽  
Work Performance ◽  
Positive Emotions ◽  
Emotional State ◽  
Communicative Competence ◽  
Point Of View ◽  
Emotional States

The article considers the restaurant business from the point of view of not only the entrepreneurial aspect, but also the service aspect, which is fundamental. The reasons why people visit restaurants have been revealed. In addition to physical need, restaurants are an element of cognition and a way of experiencing positive emotions. The importance of the restaurant business in shaping people’s positive emotional state has been formulated. Two forms of emotional labor of an employee and the influence of emotional states on work performance have been highlighted. The role of emotional intelligence and communicative competence in customer satisfaction with a restaurant visit has been determined. The importance of developing emotional intelligence has been concluded. Recommendations for its development has been formulated. 

scholarly journals Speech-based human emotion recognition

2021 ◽  
Author(s):  
Talieh Seyed Tabtabae
Keyword(s):  
Emotion Recognition ◽  
Emotional State ◽  
Speaker Identification ◽  
Recognition System ◽  
Research Area ◽  
Speech Signals ◽  
Spectral Features ◽  
Emotional States ◽  
Human Communication ◽  
Set Up

Automatic Emotion Recognition (AER) is an emerging research area in the Human-Computer Interaction (HCI) field. As Computers are becoming more and more popular every day, the study of interaction between humans (users) and computers is catching more attention. In order to have a more natural and friendly interface between humans and computers, it would be beneficial to give computers the ability to recognize situations the same way a human does. Equipped with an emotion recognition system, computers will be able to recognize their users' emotional state and show the appropriate reaction to that. In today's HCI systems, machines can recognize the speaker and also content of the speech, using speech recognition and speaker identification techniques. If machines are equipped with emotion recognition techniques, they can also know "how it is said" to react more appropriately, and make the interaction more natural. One of the most important human communication channels is the auditory channel which carries speech and vocal intonation. In fact people can perceive each other's emotional state by the way they talk. Therefore in this work the speech signals are analyzed in order to set up an automatic system which recognizes the human emotional state. Six discrete emotional states have been considered and categorized in this research: anger, happiness, fear, surprise, sadness, and disgust. A set of novel spectral features are proposed in this contribution. Two approaches are applied and the results are compared. In the first approach, all the acoustic features are extracted from consequent frames along the speech signals. The statistical values of features are considered to constitute the features vectors. Suport Vector Machine (SVM), which is a relatively new approach in the field of machine learning is used to classify the emotional states. In the second approach, spectral features are extracted from non-overlapping logarithmically-spaced frequency sub-bands. In order to make use of all the extracted information, sequence discriminant SVMs are adopted. The empirical results show that the employed techniques are very promising.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

scholarly journals CHANGES OF PSYCHO-EMOTIONAL STATE IN THE INFERTILE PREGNANT FEMALES DUE TO THE ANAMNESIS AND IVF

2019 ◽  
Vol 72 (4) ◽  
pp. 562-567
Author(s):  
Volodymyr K. Likhachov ◽  
Yanina V. Shymanska ◽  
Yulia S. Savelieva ◽  
Viktoriya L. Vashchenko ◽  
Ludmyla М. Dobrovolska
Keyword(s):  
Pregnant Women ◽  
Art Therapy ◽  
Emotional State ◽  
Healthy Woman ◽  
The Body ◽  
Control Group ◽  
Emotional States ◽  
Psychological Component ◽  
Group I ◽  
High Level

Introduction: During pregnancy in the body of a healthy woman there are physiological and psychological changes that contribute to the bearing a child and prepare the female for future labour and motherhood. In women who experience failure at the stage of fertilization or during pregnancy, as a result of prolonged negative emotional states, psycho-emotional stress develops. The aim of the research was to study the psycho-emotional state of women with infertility in history, whose pregnancy resulted from extracorporal fertilization (IVF), and to develop methods for reducing their anxiety. Materials and methods: At the first stage, the initial psycho-emotional state of 60 women in the second trimester, whose pregnancy resulted from IVF (Group I), was studied; the control group consisted of 20 healthy women with a physiological course of pregnancy (Group II). At the second stage, 10 art therapy exercises with a requestioning of pregnant women from Group I were conducted for improving their psycho-emotional state. Results: Women of Group I had a high level of both situational anxiety (SA) and the personal one (PA). The prevalent type of the psychological component of gestational dominant was anxiety and euphoric types (58.3%). In one third of women with burdened gynecological history examined mild or masked depression was diagnosed. 43 pregnant women from Group I used a method of psychocorrection – art therapy, which included colouring “antistress” pictures of perinatal topic, making flowers from paper and creating a collage of dreams. Conclusions: After the art therapy course, a high level of SA (from 46.5% to 7.0%) and OA (from 48.8% to 32.6%) decreased, the index of the optimal type of the psychological component of gestational dominant increased from 25.6% to 53.5%. The number of women without depression increased from 62.8% to 93%.

What Is in Our Power

2019 ◽  
pp. 121-168
Author(s):  
Han-luen Kantzer Komline
Keyword(s):  
Human Beings ◽  
Human Power ◽  
Pelagian Controversy ◽  
Good Will ◽  
The Will ◽  
Over Time

Chapter 3 begins to look at how Augustine’s thought on the good will developed during the Pelagian controversy. It considers Augustine’s answers to the question of what is within human power with respect to the will by addressing two subsidiary questions: How much can people do to achieve a good will? and How much can people do to enact a good will, to carry through with the good they want even when their will is weak? Augustine’s conviction that human beings need God’s help for the latter remained constant throughout the Pelagian controversy. Over time, however, he understood the need for God’s electing grace for the former, to meet the preconditions of conversion, in more and more radical terms. This development was not a result of polemical exigency alone but the gradual outworking of decades of struggling with the writings of Paul following Augustine’s initial flash of insight in Ad Simplicianum.

Uncovering Relationships Between Emotional States and Higher-Order Needs

2013 ◽  
Vol 3 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Andrew Pressey ◽  
Laura Salciuviene ◽  
Stuart Barnes
Keyword(s):  
Survey Data ◽  
Virtual Worlds ◽  
Second Life ◽  
Emotional State ◽  
Higher Order ◽  
Emotional States ◽  
Emotional Experiences ◽  
Informed Decisions ◽  
Computer Mediated ◽  
Self Actualization

The purpose of the study is to examine the effects of emotional states on higher-order need attainment in the computer-mediated environment. A survey data were collected from 404 adult visitors within the Second Life of virtual worlds. The findings suggest that the emotional states exert significant effects on attainment of higher-order needs (i.e. belongingness, esteem and self-actualization); the flow emotional state exerts a greater effect on attaining higher-order needs than the remaining emotional states of anxiety, confusion and apathy. Companies with presence in the Second Life of virtual worlds will be able to make more informed decisions when directing their efforts to enhance visitors’ emotional experiences in their virtual islands.

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