Article
Engineering, Electrical & Electronic
Dongrui Wu, Bao-Liang Lu, Bin Hu, Zhigang Zeng
Summary: A brain-computer interface (BCI) allows direct communication between a user and a computer through the central nervous system. An affective BCI (aBCI) monitors and regulates the emotional state of the brain, which has various applications in human cognition, communication, decision-making, and health. This tutorial provides a comprehensive and up-to-date guide on aBCIs, covering basic concepts, components of a closed-loop aBCI system, representative applications, and challenges and opportunities in aBCI research and applications.
PROCEEDINGS OF THE IEEE
(2023)
Article
Engineering, Electrical & Electronic
Utkarsh Tripathi, Saran J. Rittvik, Vinay Chamola, Alireza Jolfaei, Ananthakrishna Chintanpalli
Summary: This paper presents a solution that combines a brain-computer interface system and a humanoid robot for remote teaching. Using Kinect and deep learning algorithms, the system can understand the emotional state of the trainee and enable real-time communication through the humanoid robot.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Temitayo Olugbade, Liang He, Perla Maiolino, Dirk Heylen, Nadia Bianchi-Berthouze
Summary: Given the importance of affective touch in human interactions, technology designers are increasingly incorporating this modality into interactive technology. In this survey, the researchers review how affective touch is investigated to enhance and support the human experience with or through technology. They examine its applications in human-computer interaction, human-robot interaction, and real-human-virtual-human interaction, discussing the challenges, findings, and potential for advancing affective touch technology and recognition systems. The researchers also raise ethical issues related to responsible innovation in this growing area.
PROCEEDINGS OF THE IEEE
(2023)
Review
Computer Science, Artificial Intelligence
Renan Vinicius Aranha, Cleber Gimenez Correa, Fatima L. S. Nunes
Summary: The study focuses on the impact of Affective Computing in promoting user engagement in computer applications, with a systematic literature review of available articles discussing emotion recognition techniques and challenges to be overcome in the field.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2021)
Article
Computer Science, Information Systems
Hongwen Hui, Fuhong Lin, Lei Yang, Chao Gong, Haitao Xu, Zhu Han, Peng Shi
Summary: The combination of Internet of Things (IoT) and artificial intelligence (AI) technology is important in psychology and medical treatment. In this study, an affective robotics based on IoT and AI technology is developed to serve humans emotionally. The research introduces a human-robot interaction architecture that includes emotion recognition, affective computing, and emotion control. A mathematical formulation method is also provided to quantify emotional states.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Computer Science, Information Systems
Sze Chit Leong, Yuk Ming Tang, Chung Hin Lai, C. K. M. Lee
Summary: Emotion is a crucial factor influencing human decision-making and communication. Affective computing, focused on developing computational systems that can understand and respond to human emotions, has gained significant attention in the field of human-computer interaction. This systematic review addresses the methodological gaps in previous studies by examining the usage of emotion models and hardware in machine-enabled automated visual emotion recognition. Numerous relevant papers were analyzed, resulting in the identification of popular techniques and current trends. The review provides a comprehensive overview of the topic and offers insights on methodological aspects, facilitating the implementation of visual emotion recognition techniques in various fields.
COMPUTER SCIENCE REVIEW
(2023)
Review
Computer Science, Artificial Intelligence
Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Bjorn W. Schuller, Kurt Keutzer
Summary: This survey comprehensively reviews the development of affective image content analysis (AICA) in the past two decades, focusing on the state-of-the-art methods and addressing three main challenges. It provides an overview of emotion representation models, available datasets, and compares representative approaches in emotion feature extraction, learning methods, and AICA-based applications. The survey also discusses future research directions and challenges in the field.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Psychology, Multidisciplinary
Clara Sainz-de-Baranda Andujar, Laura Gutierrez-Martin, Jose Angel Miranda-Calero, Marian Blanco-Ruiz, Celia Lopez-Ongil
Summary: Audiovisual communication is playing a significant role in the field of affective computing. The use of audiovisual stimuli in immersive virtual reality environments leads to intense emotional reactions and real responses. For accurate recognition, artificial intelligence systems need to be trained with adequate data sets that include emotion-related tags. However, there are currently limited techniques available for emotion labeling. This study reveals gender biases in the popular Self-Assessment Manikin (SAM) labeling system and proposes a new graphic design that improves emotion labeling, particularly for women.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Psychology, Multidisciplinary
Theresa Rahel Demmer, Corinna Kuehnapfel, Joerg Fingerhut, Matthew Pelowski
Summary: AI has taken over the art world and reshaped human interaction with media. There is controversy over whether humans feel emotions and ascribe intentionality to computer-generated art. In a study, participants viewed visually similar artworks created by a computer or human artists and consistently reported emotions and intentionality, even when primed with information about the artwork's origin. Interestingly, stronger emotions were reported for human-made art. This has implications for our understanding of art engagement and future developments in computer-generated interactions.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Article
Computer Science, Information Systems
Joaquin Taverner, Emilio Vivancos, Vicente Botti
Summary: Fuzzy logic enables computational affective models to utilize emotions, but people from different cultures and languages may assign diverse meanings to the same emotion word. This study proposes a fuzzy model tailored for Spanish-speakers, allowing agents to update their emotional states while evaluating events.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman
Summary: Affective Computing is a fast-growing field that proposes a probabilistic programming approach to translate psychological theories of emotion into computational models. Probabilistic programming languages offer flexibility, modularity, integration with deep learning libraries, and ease of adoption, providing a standardized platform for theory-building and experimentation.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2021)
Review
Computer Science, Information Systems
Divya Garg, Gyanendra Kumar Verma, Awadhesh Kumar Singh
Summary: Emotions are distinct reactions with implications for the organism. Deep Learning has shown great potential in recognizing emotions from physiological signals. Convolutional Neural Networks have been widely used for classifying physiological-based emotions, as they allow automatic end-to-end learning of pre-processing and classification components.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Joaquin Taverner, Emilio Vivancos, Vicente Botti
Summary: One of the main challenges in affective computing is how to represent the inherent information of emotions. The terms used to name emotions depend on culture and language. This article proposes an experiment-based method to represent and adapt emotion terms in different cultural environments. Circular boxplots are used to analyze the distribution of emotions in the Pleasure-Arousal space. A new cross-cultural representation model of emotions is defined based on the analysis results, in which each emotion term is assigned to an area in the Pleasure-Arousal space. Emotions are represented by vectors where the direction indicates the type and the magnitude indicates the intensity.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Computer Science, Information Systems
Fei Yan, Abdullah M. Iliyasu, Kaoru Hirota
Summary: This study aims to interpret and manipulate robots' emotions within the framework of quantum mechanics, encoding emotion information as superposition states and using unitary operators to manipulate emotion transitions. Fusion of multi-robots' emotions through quantum entanglement reduces the qubit requirements and quantum gate usage, demonstrating the feasibility and effectiveness of the proposed framework in transitioning emotional intelligence formulations to the quantum era.
Article
Chemistry, Multidisciplinary
Chung-Hong Lee, Hsin-Chang Yang, Xuan-Qi Su, Yao-Xiang Tang
Summary: Successful investments not only require financial expertise and market information, but also individual personality traits. A multimodal personality-recognition system was developed to analyze investors' traits, showing more accuracy than unimodal models and a correlation between personality traits and risk tolerance. Experimental results demonstrated high performance of the system in predicting investors' personalities.
APPLIED SCIENCES-BASEL
(2022)
Review
Computer Science, Hardware & Architecture
Ahmed Patel, Mona Taghavi, Kaveh Bakhtiyari, Joaquim Celestino Junior
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2013)
Article
Computer Science, Artificial Intelligence
Kaveh Bakhtiyari, Mona Taghavi, Hafizah Husain
NEURAL COMPUTING & APPLICATIONS
(2015)
Article
Computer Science, Information Systems
Mona Taghavi, Jamal Bentahar, Hadi Otrok, Kaveh Bakhtiyari
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Kaveh Bakhtiyari, Mona Taghavi, Milad Taghavi, Jamal Bentahar
2019 5TH INTERNATIONAL CONFERENCE ON WEB RESEARCH (ICWR)
(2019)
Article
Computer Science, Hardware & Architecture
Mona Taghavi, Jamal Bentahar, Kaveh Bakhtiyari, Chihab Hanachi
Proceedings Paper
Computer Science, Artificial Intelligence
Kaveh Bakhtiyari, Juergen Ziegler, Hafizah Husain
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2017, PT I
(2017)
Article
Management
Masoud Shakiba, Nader Ale Ebrahim, Mahmoud Danaee, Kaveh Bakhtiyari, Elankovan Sundararajan
REVISTA DE GESTAO E SECRETARIADO-GESEC
(2015)
Proceedings Paper
Computer Science, Artificial Intelligence
Kaveh Bakhtiyari, Mona Taghavi, Hafizah Husain
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT 1
(2014)
Article
Information Science & Library Science
Ahmed Patel, Kaveh Bakhtiyari, Mona Taghavi