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Bhargav Prakash, Gautam Kumar Baboo and Veeky Baths
Brain connectivity is studied as a functionally connected network using statistical methods such as measuring correlation or covariance. The non-invasive neuroimaging techniques such as Electroencephalography (EEG) signals are converted to networks by tr...
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Weijun Wang, Ying Li, Yinghui Huang, Hui Liu and Tingting Zhang
Analyzing people?s opinions, attitudes, sentiments, and emotions based on user-generated content (UGC) is feasible for identifying the psychological characteristics of social network users. However, most studies focus on identifying the sentiments carrie...
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Weijun Wang, Ying Li, Yinghui Huang, Hui Liu and Tingting Zhang
Analyzing people?s opinions, attitudes, sentiments, and emotions based on user-generated content (UGC) is feasible for identifying the psychological characteristics of social network users. However, most studies focus on identifying the sentiments carrie...
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Suresh Neethirajan
Emotions play an indicative and informative role in the investigation of farm animal behaviors. Systems that respond and can measure emotions provide a natural user interface in enabling the digitalization of animal welfare platforms. The faces of farm a...
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Rania Alhalaseh and Suzan Alasasfeh
Many scientific studies have been concerned with building an automatic system to recognize emotions, and building such systems usually relies on brain signals. These studies have shown that brain signals can be used to classify many emotional states. Thi...
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Firgan Feradov, Iosif Mporas and Todor Ganchev
There is a strong correlation between the like/dislike responses to audio?visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection of dislike responses based on E...
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Kim Ferres, Timo Schloesser and Peter A. Gloor
This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate e...
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Kenneth Zula
The United States entrance into World War II in 1941 has been credited with beginning a large movement of women into the workforce and the commencement of governmental support for women working in nontraditional occupations. However, the beginning of the...
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Caroline E. Mills, Nicoleen Coetzee, Evangeline Nortje, Michael Kleynhans, Ron?l Ferreira, William J. Fraser, Peet Du Toit
Pág. 9 bladsye
The findings of the present study suggest that anxiety, to some extent, influences the learning of focusing, tracking and vergence. Curiosity, on the other hand, did not influence the learning of any of the visual skills under investigation in the...
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Carina S. González-González, Erika Herrera-González, Lorenzo Moreno-Ruiz, Nuria Reyes-Alonso, Selene Hernández-Morales, María D. Guzmán-Franco and Alfonso Infante-Moro
Computational thinking and coding are key competencies in the 21st century. People with Down syndrome need to be part of this new literacy. For this reason, in this work, we present an exploratory study carried out with students with Down syndrome with c...
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Aayushi Chaudhari, Chintan Bhatt, Achyut Krishna and Pier Luigi Mazzeo
In several fields nowadays, automated emotion recognition has been shown to be a highly powerful tool. Mapping different facial expressions to their respective emotional states is the main objective of facial emotion recognition (FER). In this study, fac...
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Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon and Fadi Aloul
Depression is one of the most common mental health disorders, affecting approximately 280 million people worldwide. This condition is defined as emotional dysregulation resulting in persistent feelings of sadness, loss of interest and inability to experi...
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Muhammad Atif and Valentina Franzoni
Users of web or chat social networks typically use emojis (e.g., smilies, memes, hearts) to convey in their textual interactions the emotions underlying the context of the communication, aiming for better interpretability, especially for short polysemous...
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Janith Kodithuwakku, Dilki Dandeniya Arachchi and Jay Rajasekera
It is not an easy task for organizers to observe the engagement level of a video meeting audience. This research was conducted to build an intelligent system to enhance the experience of video conversations such as virtual meetings and online classrooms ...
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Havana Rika, Itzhak Aviv and Roye Weitzfeld
In information systems research, the advantages of Customer Experience (CX) and its contribution to organizations are largely recognized. The CX analytics evaluate how customers perceive products, ranging from their functional usage to their cognitive st...
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Chiara Baiano, Gennaro Raimo, Isa Zappullo, Marialaura Marra, Roberta Cecere, Luigi Trojano and Massimiliano Conson
Growing evidence suggests that empathy is a relevant psychological trait to face the challenges imposed by the COVID-19 pandemic, but at the present very little is known on whether this multi-dimensional construct has been affected by the pandemic outbre...
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Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno and Gustavo Ramirez-Gonzalez
Recommendation systems have overcome the overload of irrelevant information by considering users? preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommendation approach...
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Davide Giacalone, Bartlomiej Pieranski and Barbara Borusiak
Interest in the use of scents in retail environments for creating better customer experiences is growing. Yet, knowledge of the effectiveness of aromachology to affect actual customer behavior and ultimately increase turnover is incomplete, as published ...
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Arthur M. Jacobs and Annette Kinder
In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs) and ...
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Guillem Aguado, Vicente Julian and Ana Garcia-Fornes
The present work is a study of the detection of negative emotional states that people have using social network sites (SNSs), and the effect that this negative state has on the repercussions of posted messages. We aim to discover in which grade a user ha...
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