Affective Computing

2009 ◽  
pp. 15-21
Author(s):  
Maja Pantic
Keyword(s):  
Emotional Intelligence ◽  
Social Life ◽  
Affective Computing ◽  
Research Area ◽  
Interactive Systems ◽  
Affective States ◽  
Daily Lives ◽  
New Information ◽  
Machine Analysis ◽  
Flexible Machines

We seem to be entering an era of enhanced digital connectivity. Computers and Internet have become so embedded in the daily fabric of people’s lives that people simply cannot live without them (Hoffman, Novak, & Venkatesh, 2004). We use this technology to work, to communicate, to shop, to seek out new information, and to entertain ourselves. With this ever-increasing diffusion of computers in society, human–computer interaction (HCI) is becoming increasingly essential to our daily lives. HCI design was first dominated by direct manipulation and then delegation. The tacit assumption of both styles of interaction has been that the human will be explicit, unambiguous, and fully attentive while controlling the information and command flow. Boredom, preoccupation, and stress are unthinkable even though they are “very human” behaviors. This insensitivity of current HCI designs is fine for well-codified tasks. It works for making plane reservations, buying and selling stocks, and, as a matter of fact, almost everything we do with computers today. But this kind of categorical computing is inappropriate for design, debate, and deliberation. In fact, it is the major impediment to having flexible machines capable of adapting to their users and their level of attention, preferences, moods, and intentions. The ability to detect and understand affective states of a person we are communicating with is the core of emotional intelligence. Emotional intelligence (EQ) is a facet of human intelligence that has been argued to be indispensable and even the most important for a successful social life (Goleman, 1995). When it comes to computers, however, not all of them will need emotional intelligence and none will need all of the related skills that we need. Yet human–machine interactive systems capable of sensing stress, inattention, and heedfulness, and capable of adapting and responding appropriately to these affective states of the user are likely to be perceived as more natural, more efficacious, and more trustworthy. The research area of machine analysis of human affective states and employment of this information to build more natural, flexible (affective) HCI goes by a general name of affective computing, introduced first by Picard (1997).

Affective Computing

2011 ◽  
pp. 8-14 ◽  
Author(s):  
Maja Pantic
Keyword(s):  
Human Computer Interaction ◽  
Affective Computing ◽  
The Internet ◽  
Daily Lives ◽  
New Information ◽  
Computer Interaction

We seem to be entering an era of enhanced digital connectivity. Computers and the Internet have become so embedded in the daily fabric of people’s lives that they simply cannot live without them (Hoffman et al., 2004). We use this technology to work, to communicate, to shop, to seek out new information, and to entertain ourselves. With this ever-increasing diffusion of computers in society, human-computer interaction (HCI) is becoming increasingly essential to our daily lives.

scholarly journals Affective Recognition for Multimedia Environments A Review

2017 ◽  
Author(s):  
Mohammadhossein Moghimi ◽  
Robert Stone ◽  
Pia Rotshtein
Keyword(s):  
Affective Computing ◽  
Emotional Responses ◽  
Research Area ◽  
Affective States ◽  
Relevant Research ◽  
The Past ◽  
Affective Stimuli ◽  
Wide Range ◽  
Skin Response ◽  
Multimedia Environments

Detecting emotional responses in multimedia environments is an academically and technologically challenging research issue. In the domain of Affective Computing, from non-interactive and static stimuli (e.g. affective image) to highly interactive and dynamic environments (affective virtual realities), researchers have employed a wide range of affective stimuli to measure and interpret human psychological and physiological emotional behaviours. Various psychophysiological parameters (e.g. Electroencephalography, Galvanic Skin Response, Heart Rate, etc.) have been employed and investigated, in order to detect and quantify human affective states. In this paper, we present a detailed literature review of over 33 affective computing studies, undertaken since 1993. All aspects of these studies (stimuli type, pre-processing, windowing, features, classification technique, etc.) have been reported in detail. We believe that this paper not only summarises the breadth of research over the past 20 years, but also serves to clarify various significant aspects and details of this increasingly valuable and relevant research area.

scholarly journals COVID-19 pandemic and families' utilization of well-child clinics and pediatric practices attendance in Germany

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Mandy Vogel ◽  
Christoph Beger ◽  
Ruth Gausche ◽  
Anne Jurkutat ◽  
Roland Pfaeffle ◽  
...  
Keyword(s):  
Health Care ◽  
Social Life ◽  
Hospital Admissions ◽  
Pediatric Practice ◽  
Daily Lives ◽  
Number Of Visits

Abstract Objective The COVID-19 pandemic and the measures implemented to stop the pandemic had a broad impact on our daily lives. Besides work and social life, health care is affected on many levels. In particular, there is concern that attendance in health care programs will drop or hospital admissions will be delayed due to COVID-19-related anxieties, especially in children. Therefore, we compared the number of weekly visits to 78 German pediatric institutions between 2019 and 2020. Results We found no significant differences during the first 10 weeks of the year. However, and importantly, from April, the weekly number of visits was more than 35% lower in 2020 than in 2019 (p = 0.005). In conclusion, the COVID-19 pandemic seems to relate to families´ utilization of outpatient well-child clinics and pediatric practice attendance in Germany.

Emotional Intelligence Functions of Turkish Proverbs

2013 ◽  
Vol 41 (2) ◽  
pp. 295-310 ◽  
Author(s):  
Özay Karadağ
Keyword(s):  
Emotional Intelligence ◽  
Content Analysis ◽  
Social Life ◽  
Semantic Content ◽  
Rich Source ◽  
Folk Culture ◽  
Mental Abilities

As widespread products of folk culture, proverbs help people realize and interpret both their own and others' emotions. In this sense, they guide how people transform acquired knowledge into behavior. This function of proverbs is explained in terms of emotional intelligence. Turkish proverbs appear to be an extremely rich source in this respect. I therefore examined them using Goleman's (1995) model of emotional intelligence. Data were collected using two Turkish dictionaries and the findings were analyzed using semantic content analysis. I explored whether or not and how proverbs improve the mental abilities that form emotional intelligence. The effects of the emotional functions of Turkish proverbs on personal and social life are discussed.

Dialogs ar vizuālo mākslu: mākslinieks un mākslas darbs

2021 ◽  
pp. 183-191
Author(s):  
Inta Klāsone ◽  
Solvita Spirģe-Sēne
Keyword(s):  
21St Century ◽  
Social Life ◽  
Visual Art ◽  
Personal Values ◽  
Historical Context ◽  
Cultural Environment ◽  
Learning And Development ◽  
Daily Lives ◽  
Wide Range ◽  
Public Consciousness

Nowadays, various forms of visual art have brought closer people’s daily lives to the processes that occur in the society. At the same time, the visually fulfilled environment has created favourable conditions for misunderstanding the contexts and meanings of artworks. This article draws attention to the fact that dialogue with visual art can be an important tool for developing personal values and promoting the spiritual understanding of a cultural environment. The topicality of the issue is supported by the educational trends of the 21st century – to educate comprehensive people who are capable of doing a wide range of tasks, constantly continuing their learning and development. Art plays an initiator’s role in social life and it encompasses all spiritual realms of humanity, which cannot be accomplished by other forms of public consciousness. A work of art can be viewed as a multi-layered expression of thoughts in an artistic form of images and symbols. The artist's work means producing a coded text or message. This article includes insights of scholars and artists developing an understanding of the artist’s work and artworks in a cultural and historical context to enrich the individual's competence base, and examples of the work and beliefs of particular artists of the 21st century.

Emotional intelligence in interactive systems

2003 ◽  
pp. 262-266
Author(s):  
Antonella Angeli ◽  
Graham Johnson
Keyword(s):  
Emotional Intelligence ◽  
Interactive Systems

scholarly journals Conceptual Framework for Quantum Affective Computing and Its Use in Fusion of Multi-Robot Emotions

2020 ◽  
Author(s):  
Fei Yan ◽  
Abdullah Iliyasu ◽  
Kaoru Hirota
Keyword(s):  
Emotional Intelligence ◽  
Quantum Mechanics ◽  
Conceptual Framework ◽  
Quantum Measurement ◽  
Affective Computing ◽  
Quantum Gates ◽  
Superposition State ◽  
Unitary Operators ◽  
Computing Paradigm ◽  
Simulation Based

This study presents a modest attempt to interpret, formulate, and manipulate emotion of robots within the precepts of quantum mechanics. Our proposed framework encodes the emotion information as a superposition state whilst unitary operators are used to manipulate the transition of the emotion states which are recovered via appropriate quantum measurement operations. The framework described provides essential steps towards exploiting the potency of quantum mechanics in a quantum affective computing paradigm. Further, the emotions of multi-robots in a specified communication scenario are fused using quantum entanglement thereby reducing the number of qubits required to capture the emotion states of all the robots in the environment, and fewer quantum gates are needed to transform the emotion of all or part of the robots from one state to another. In addition to the mathematical rigours expected of the proposed framework, we present a few simulation-based demonstrations to illustrate its feasibility and effectiveness. This exposition is an important step in the transition of formulations of emotional intelligence to the quantum era.

scholarly journals A Survey of Interactive Systems based on Brain-Computer Interfaces

2013 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Alessandro Luiz Stamatto Ferreira ◽  
Leonardo Cunha de Miranda ◽  
Erica Esteves Cunha de Miranda ◽  
Sarah Gomes Sakamoto
Keyword(s):  
Virtual Reality ◽  
Brain Computer Interface ◽  
Research Area ◽  
Interactive Systems ◽  
Computer Interface ◽  
Immersive Environments ◽  
User Interactions ◽  
Computer Interfaces ◽  
Brain Signals ◽  
Near Future

Brain-Computer Interface (BCI) enables users to interact with a computer only through their brain biological signals, without the need to use muscles. BCI is an emerging research area but it is still relatively immature. However, it is important to reflect on the different aspects of the Human-Computer Interaction (HCI) area related to BCIs, considering that BCIs will be part of interactive systems in the near future. BCIs most attend not only to handicapped users, but also healthy ones, improving interaction for end-users. Virtual Reality (VR) is also an important part of interactive systems, and combined with BCI could greatly enhance user interactions, improving the user experience by using brain signals as input with immersive environments as output. This paper addresses only noninvasive BCIs, since this kind of capture is the only one to not present risk to human health. As contributions of this work we highlight the survey of interactive systems based on BCIs focusing on HCI and VR applications, and a discussion on challenges and future of this subject matter.

scholarly journals A Machine Learning Approach to EEG-based Prediction of Human Affective States Using Recursive Feature Elimination Method

2021 ◽  
Vol 335 ◽  
pp. 04001
Author(s):  
Didar Dadebayev ◽  
Goh Wei Wei ◽  
Tan Ee Xion
Keyword(s):  
Feature Selection ◽  
Fractal Dimension ◽  
Emotion Recognition ◽  
Affective Computing ◽  
Feature Selection Method ◽  
Recursive Feature Elimination ◽  
Support Vector ◽  
Emotional States ◽  
Affective States ◽  
Emotion Classification

Emotion recognition, as a branch of affective computing, has attracted great attention in the last decades as it can enable more natural brain-computer interface systems. Electroencephalography (EEG) has proven to be an effective modality for emotion recognition, with which user affective states can be tracked and recorded, especially for primitive emotional events such as arousal and valence. Although brain signals have been shown to correlate with emotional states, the effectiveness of proposed models is somewhat limited. The challenge is improving accuracy, while appropriate extraction of valuable features might be a key to success. This study proposes a framework based on incorporating fractal dimension features and recursive feature elimination approach to enhance the accuracy of EEG-based emotion recognition. The fractal dimension and spectrum-based features to be extracted and used for more accurate emotional state recognition. Recursive Feature Elimination will be used as a feature selection method, whereas the classification of emotions will be performed by the Support Vector Machine (SVM) algorithm. The proposed framework will be tested with a widely used public database, and results are expected to demonstrate higher accuracy and robustness compared to other studies. The contributions of this study are primarily about the improvement of the EEG-based emotion classification accuracy. There is a potential restriction of how generic the results can be as different EEG dataset might yield different results for the same framework. Therefore, experimenting with different EEG dataset and testing alternative feature selection schemes can be very interesting for future work.

Geographers and sexual difference: feminist contributions

2003 ◽  
Author(s):  
Linda McDowell
Keyword(s):  
Social Life ◽  
Power Relations ◽  
Sexual Difference ◽  
Daily Lives ◽  
Men And Women ◽  
Geographical Knowledge ◽  
The Public ◽  
The Family ◽  
Definition Of

Divisions based on the assumption that men and women are different from one another permeate all areas of social life as well as varying across space and between places. In the home and in the family, in the classroom or in the labour market, in politics, and in power relations, men and women are assumed to be different, to have distinct rights and obligations that affect their daily lives and their standard of living. Thirty years ago, there were no courses about gender in British geography departments. This chapter discusses the challenges to geographical knowledge, and to the definition of knowledge more generally, that have arisen from critical debates about the meaning of difference and diversity in feminist scholarship. It examines a number of significant conceptual ideas, namely: the public and the private; sex, gender and body; difference, identity and intersectionality; knowledge; and justice. Finally, it comments on the role of feminism in the academy as a set of political practices as well as epistemological claims.

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