{"title":"Neuromarketing: The New Dawn and Disruption in Marketing Research","authors":"K. B. Prakash, Appidi Adi Sesha Reddy","doi":"10.5772/intechopen.98299","DOIUrl":"https://doi.org/10.5772/intechopen.98299","url":null,"abstract":"The 21st Century is termed as the ‘Century of the Brain’ and the ‘Human Brain’ has 100 billion neurons and each neuron is connected to 10000 other neurons. ‘Meme’ is a unit of information that is stored in the brain and these units are effective at influencing a person who is making choices and decisions within 2.6 seconds. The ‘Neuromarketing’ is emerged from the realms of ‘Neuro Science’ as a new dawn and digi-driven disruption in the arena of ‘Marketing Research’ that studies the cognitive and emotional brain responses to marketing stimuli. The ‘Consumer Neuro Science’ by instigating brain wave tools figuring out what customers’ thoughts and brain responses are towards a product, service, advertisement, or even packaging. Neuromarketing mapping the activities in specific regional strata of the brain, capturing and predicting the psychological as well as physiological behavioral changes of buyers and/or consumers at a point-of-sale. The chapter intends to present the conceptual focus of ‘Buying Brain’ viz., Neuro Marketing, the role of ‘Memes’ in buying decisions, besides the tools and techniques adopted in persuading Buyers as Consumers and/or Prosumers that remain unearthed and unexplored.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128994274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strategies to Develop Emotional Intelligence in Early Childhood","authors":"I. Ulutas, K. Engin, Emine Bozkurt Polat","doi":"10.5772/INTECHOPEN.98229","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.98229","url":null,"abstract":"Children have many opportunities in early childhood education that support their emotions. These opportunities need to be transformed into learning situations appropriate to their development and developed. Learnings cannot happen independently of emotional intelligence. Social–emotional skills must be developed in education to achieve both academic success and success in life. It is important to support emotional intelligence in early childhood education to enable children to be emotionally healthy, to cope with difficulties, to respect differences, and to gain a social perspective by working in collaboration with others. Emotional intelligence training helps not only children but everyone in the classroom setting, especially educators who are unsure of how to work with a child with an emotional or behavioral problem. Since emotional intelligence can be developed and strengthened by training at all ages, it can be a way of teaching for educators as they regularly include methods and techniques in the program. Based on this, in this section, the emotional intelligence of children, programs methods and strategies will be discussed in terms of supporting emotional intelligence in the early years.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124073936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emotional Intelligence, Identification, and Self-Awareness According to the Sphere Model of Consciousness","authors":"P. Paoletti, T. Ben-Soussan","doi":"10.5772/INTECHOPEN.98209","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.98209","url":null,"abstract":"While emotion and cognition were previously considered separate concepts, current research demonstrates an interplay between them. In the current chapter, we discuss the importance of the body in relation to emotional intelligence (EI) and executive functioning. In particular, we address a specific movement meditation called Quadrato Motor Training (QMT), which has been shown to enhance emotion regulation and neurocognitive functions. We then examine the importance of emotion regulation in the context of the Sphere Model of Consciousness (SMC) and related neurocognitive studies. The SMC is a neuro-phenomenal model of consciousness based on three main axes: Emotion, Time, and Self-Determination. It presents all phenomenal experiences in a sphere-shaped matrix, aiming to account for different interactions among the axes. Through this model, the processes leading to improved EI can be framed in a general theory of consciousness and described in relation to the three axes. We discuss three key concepts in relation to the SMC: (1) EI; (2) identification, namely excessive self-involvement or feeling caught up by experience (3) self-awareness, or awareness and management of ongoing inner processes.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emotional Intelligence for Coping with the Consequences of Childhood Trauma","authors":"Bruna Amélia Moreira Sarafim-Silva, D. Bernabé","doi":"10.5772/INTECHOPEN.97838","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97838","url":null,"abstract":"Childhood trauma has been a serious public health problem and its long-term repercussions are widely studied. Childhood trauma can deregulate the stress-related biological pathways, incapacitating the individual to process these experiences and, consequently, producing a lasting impact in later stages of life. Exposure to adverse childhood experiences has been associated with poorer quality of life and a higher risk for harmful behaviors and illness. The emotional consequences of childhood trauma are inevitable, and the development of strategies for their coping and manage become decisive and urgent. In this chapter we will cover the most current perspectives on childhood trauma, its impact on later life stages and the resulting emotional process. Finally, it will be discussed how emotional intelligence can be a useful resource for coping with stressful situations resulting from traumatic experiences in childhood.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"42 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120923426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Facilitating Accessibility: A Study on Innovative Didactic Materials to Generate Emotional Interactions with Pictorial Art","authors":"Carme Pinós, Arturo Galán González","doi":"10.5772/INTECHOPEN.97796","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97796","url":null,"abstract":"This research has been undertaken to establish criteria for the construction of didactic materials to be experienced through touch (using a three-dimensional model) and hearing (through the provision of an audio description of the chosen painting) to provide learning and emotions. Eleven experts examined the didactic tools in which the scene of the painting had been depicted, through the use of white plastic figures modeled using a 3D printer. The models had been positioned to accurately correspond with the reference painting, with an explanatory narration supplied as an audio recording. Each of the experts involved were asked the same open questions in interviews that were audio-recorded and later transcribed. This feedback was analyzed and eleven concerns for consideration were determined: 1. How the figures felt to touch 2. Modeling and placement of the figure, 3. Position of the character, 4. Size, 5. The accurate 3D depiction of the 2D image, 6. Perspectives or visual points of view of the scene, 7. Enough representation of the painting in the model, 8. Distribution of visual components within the scene, 9. Perceptual appraisals, 10. Size of the model, 11. Touch of the whole model. The results indicated that the size of the model and the figurines was appropriate for their function. The figurines felt pleasant to handle and adequately described the postures and placement. Suggestions for further improvements were including more figurines in the model and adding color (omitted in the test model) to belong an inclusive design.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131743045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Science and Philosophy of Emotional Intelligence: A Pragmatic Perspective","authors":"A. Jain","doi":"10.5772/INTECHOPEN.97837","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97837","url":null,"abstract":"This article is aimed at exploring the relevance of the concept of emotional intelligence (EI) from a pragmatic perspective. Although the empirical and conceptual articles are written and published on EI, however it does not suffice the purpose for a practitioner of EI who is naïve to the field of EI, either s/he does not understand the psychological literature or does not have time to study EI in great details. Hence, this article is written from a naïve perspective to make the concept useful and that could be used in our daily life. Drawn from psychological literature, this article is simplifying a complex relationship between human intelligence and emotions and clarifies our understanding about the cognitive and affective spheres of human personality. Further, the article also explains the evolutionary or biological basis of EI and also suggests a managerial use of EI for the field of leadership and decision making. The chapter concludes with a developmental focus of EI. The article is mainly using observations and anecdotes based on the author’s personal experience from his training programs with more than ten thousand managers in India and taught students in Denmark, Italy and South Africa.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128690455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Humor Daily Events and Well-Being: The Role of Gelotophobia and Psychological Work Climate","authors":"A. Silva, A. Caetano, R. R. Lopes","doi":"10.5772/INTECHOPEN.96631","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.96631","url":null,"abstract":"This study aims to: (1) analyze the relationship between humor-daily events and well-being; (2) test the mediating role of positive affect in this relationship; (3) analyze the moderating role of gelotophobia between humor-daily events and positive affect, and; (4) explore the moderating role of psychological climate between positive affect and well-being. To test these goals, we conducted a quasi-experimental study with 93 participants. We used regressions and bootstrapping analyses to test the moderated mediation model. The relationship between the humor-daily events and well-being was mediated by positive affect and this relation was moderated by psychological work, such that this relationship was stronger when a positive psychological work climate was identified. Gelotophobia did not moderate the relationship between humor daily-events and positive affect, however, it significantly and negatively predicted positive affect. This paper adds considerable evidence of the relationship between humor-related daily events and its impact on well-being. Psychological work climate strengthens the association between positive affect and well-being, after humor daily events.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131193781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine Learning and EEG for Emotional State Estimation","authors":"K. Kotowski, K. Stapor","doi":"10.5772/INTECHOPEN.97133","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97133","url":null,"abstract":"Defining “emotion” and its accurate measuring is a notorious problem in the psychology domain. It is usually addressed with subjective self-assessment forms filled manually by participants. Machine learning methods and EEG correlates of emotions enable to construction of automatic systems for objective emotion recognition. Such systems could help to assess emotional states and could be used to improve emotional perception. In this chapter, we present a computer system that can automatically recognize an emotional state of a human, based on EEG signals induced by a standardized affective picture database. Based on the EEG signal, trained deep neural networks are then used together with mappings between emotion models to predict the emotions perceived by the participant. This, in turn, can be used for example in validation of affective picture databases standardization.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134529576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Brain Networks of Emotional Prosody Processing in a Foreign Language Versus Mother Tongue","authors":"Z. Z. Sonkaya, A. Sonkaya","doi":"10.5772/INTECHOPEN.97016","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.97016","url":null,"abstract":"Increased interest in the relationships between the brain and behavior over the past several decades has made brain network process of emotional prosody a topic of study in disciplines like neurology, psychiatry, neurolinguistics and neuroscience. Because emotional prosody has a key role to implication of timbre component, mood sense, and prosodic content. Also, it serves a highly important function for sense, the meaning to be reflected, and ability to provide effective communication. Therefore, the knowledge of how the emotional prosody sequence works in the brain will contribute to both language development and foreign language teaching as well as clinical evaluation of individuals with verbal communication difficulty. In the literature, neuroimaging and neurophysiological studies about investigating emotional prosody have produced controversial results in specifying similarities versus differences mother tongue acquisition and foreign learning neural networks. For this reason, this review study takes an interdisciplinary perspective to identify the neural networks of emotional prosody in mother tongue and foreign language learning process with different imaging modalities.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127073537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cognitive Load Measurement Based on EEG Signals","authors":"Tasmi Tamanna, M. Parvez","doi":"10.5772/INTECHOPEN.96388","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.96388","url":null,"abstract":"Measurement of cognitive load should be advantageous in designing an intelligent navigation system for the visually impaired people (VIPs) when navigating unfamiliar indoor environments. Electroencephalogram (EEG) can offer neurophysiological indicators of perceptive process indicated by changes in brain rhythmic activity. To support the cognitive load measurement by means of EEG signals, the complexity of the tasks of the VIPs during navigating unfamiliar indoor environments is quantified considering diverse factors of well-established signal processing and machine learning methods. This chapter describes the measurement of cognitive load based on EEG signals analysis with its existing literatures, background, scopes, features, and machine learning techniques.","PeriodicalId":249832,"journal":{"name":"The Science of Emotional Intelligence [Working Title]","volume":"1564 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129135241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}