Applying computer vision techniques to distinguish between spontaneous and posed smiles is an active research topic of affective…
Computer & Information Sciences
Affective Computing and Human-Computer Interactions
The study and design of devices that can recognize and simulate humane effects as well as improve the way different people interact with different interfaces is inherently multidisciplinary and inclusive.
In the 25 years since Rosalind Picard’s paper on Affective Computing was published, this field of computer science has grown to include psychology, cognitive science, digital health, engineering, design, ergonomics, information science, education, media studies, and many more. This collection showcases a selection of the most recent publications in the field.
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PLOS ONE Collection
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PLOS ONE Dynamics of facial actions for assessing smile genuineness
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PLOS ONE Transfer of training—Virtual reality training with augmented multisensory cues improves user experience during training and task performance in the real world
Virtual reality (VR) can create safe, cost-effective, and engaging learning environments. It is commonly assumed that improvements in…
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PLOS ONE The persuasive power of robot touch. Behavioral and evaluative consequences of non-functional touch from a robot
The unique physical embodiment of robots enables physical contact between machines and humans. Since interpersonal touch research has…
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PLOS ONE Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions
With the growing utility of today’s conversational virtual assistants, the importance of user motivation in human–artificial intelligence…
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PLOS ONE Game-based learning environments affect frontal brain activity
Inclusion of game elements in learning environments to increase motivation and learning outcome is becoming increasingly popular. However,…
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PLOS ONE Multimodal hand gesture recognition using single IMU and acoustic measurements at wrist
To facilitate hand gesture recognition, we investigated the use of acoustic signals with an accelerometer and gyroscope at the human…
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PLOS ONE UIBVFED: Virtual facial expression dataset
Facial expression classification requires large amounts of data to reflect the diversity of conditions in the real world. Public databases…
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PLOS ONE Efficient human-machine control with asymmetric marginal reliability input devices
Input devices such as motor-imagery brain-computer interfaces (BCIs) are often unreliable. In theory, channel coding can be used in the…
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PLOS ONE Adaptive user interface design and analysis using emotion recognition through facial expressions and body posture from an RGB-D sensor
This work presents the design and analysis of an Adaptive User Interface (AUI) for a desktop application that uses a novel solution for…
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PLOS ONE Measuring recognition of body changes over time: A human-computer interaction tool using dynamic morphing and body ownership illusion
Measuring body image is crucial at both personal and social levels. Previous studies have attempted to quantitatively measure body image…
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PLOS ONE Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography
Parkinson’s disease (PD) is a severe incurable neurological disorder. It is mostly characterized by non-motor symptoms like fatigue,…
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PLOS ONE A deep facial recognition system using computational intelligent algorithms
The development of biometric applications, such as facial recognition (FR), has recently become important in smart cities. Many scientists…
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PLOS ONE The sound of reading: Color-to-timbre substitution boosts reading performance via OVAL, a novel auditory orthography optimized for visual-to-auditory mapping
Reading is a unique human cognitive skill and its acquisition was proven to extensively affect both brain organization and neuroanatomy.…
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PLOS ONE Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity
Facial expressions are fundamental to interpersonal communication, including social interaction, and allow people of different ages,…
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PLOS ONE Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI
This paper proposes a novel adaptive online-feedback methodology for Brain Computer Interfaces (BCI). The method uses…
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PLOS ONE Introducing chaotic codes for the modulation of code modulated visual evoked potentials (c-VEP) in normal adults for visual fatigue reduction
Code modulated Visual Evoked Potentials (c-VEP) based BCI studies usually employ m-sequences as a modulating codes for their broadband…
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PLOS ONE A closed-loop, music-based brain-computer interface for emotion mediation
Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for…
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PLOS ONE A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
A brain-computer interface (BCI), based on motor imagery EEG, uses information extracted from the electroencephalography signals generated…
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PLOS ONE A comprehensive study on bilingual and multilingual speech emotion recognition using a two-pass classification scheme
Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech…
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PLOS ONE A real-time gesture recognition system using near-infrared imagery
Visual hand gesture recognition systems are promising technologies for Human Computer Interaction, as they allow a more immersive and…
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PLOS ONE Real vs. immersive-virtual emotional experience: Analysis of psycho-physiological patterns in a free exploration of an art museum
Virtual reality is a powerful tool in human behaviour research. However, few studies compare its capacity to evoke the same emotional…
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PLOS ONE Computer-analyzed facial expression as a surrogate marker for autism spectrum social core symptoms
To develop novel interventions for autism spectrum disorder (ASD) core symptoms, valid, reliable, and sensitive longitudinal outcome…
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PLOS ONE Socio-affective touch expression database
Socio-affective touch communication conveys a vast amount of information about emotions and intentions in social contexts. In spite of the…
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PLOS ONE Eyes-closed hybrid brain-computer interface employing frontal brain activation
Brain-computer interfaces (BCIs) have been studied extensively in order to establish a non-muscular communication channel mainly for…
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PLOS ONE Stereosonic vision: Exploring visual-to-auditory sensory substitution mappings in an immersive virtual reality navigation paradigm
Sighted people predominantly use vision to navigate spaces, and sight loss has negative consequences for independent navigation and…
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PLOS ONE A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in…