Prior research on emotion recognition in extended reality (XR) has faced challenges due to the occlusion of facial expressions by Head-Mounted Displays (HMDs). This limitation hinders accurate Facial Expression Recognition (FER), which is crucial for ...

The extent to which people self-disclose depends on the valence and intimacy of that information. We developed a 16-item measure that features both dimensions to assess participants’ inclination to self-disclose to humans and robots across three studies, ...

Whilst deep learning techniques have achieved excellent emotion prediction, they still require large amounts of labelled training data, which are (a) onerous and tedious to compile, and (b) prone to errors and biases. We propose Multi-Task Contrastive ...

Film scores are considered an essential part of the film cinematic experience, but the process of film score generation is often expensive and infeasible for small-scale creators. Automating the process of film score composition would provide useful ...

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in general mobile apps and valuable feedback and interventions in mobile health ...

This paper contains the research proposal of Mary Pidgeon that was presented at the MMSys 2022 doctoral symposium. Emotion recognition from physiological signals has seen a huge growth in recent decades. Wearables such as smart watches now have sensors ...

Human sensations and emotions are our primary embodied feelings in experiencing the outside world. The two systems are closely intertwined and jointly contribute to cognitive processes such as language use. However, how the two systems interact as ...

In recent years, great strides have been made in the field of affective computing. Several models have been developed to represent and quantify emotions. Two popular ones include (i) categorical models which represent emotions as discrete labels, and (...

Music is an efficient medium to elicit and convey emotions. The comparison between perceived and induced emotions from western music has been widely studied. However, this relationship has not been studied from the perspective of Hindustani classical ...

Curating large and high quality datasets for studying affect is a costly and time consuming process, especially when the labels are continuous. In this paper, we examine the potential to use unlabeled public reactions in the form of textual comments to ...

Recent advancement of Generative Adversarial Network (GAN) based architectures has achieved impressive performance on static facial expression synthesis. Continuous affect synthesis, which has applications in generating videos and movies, is ...

In this paper, we aim at the AVEC2019 State of Mind Sub-Challenge (SoMS), and propose a multimodal state of mind assessment framework, for valence and arousal, respectively. For valence, sentiment analysis is firstly performed on the English text ...

Research has found that professional advice with empathy displays and signs of listening lead to more successful outcomes. These skills are typically displayed through visual nonverbal signals, whereas reduced multimodal contexts have to use other ...

In recent years, the field of Music Emotion Recognition has become established. Less attention has been directed towards the counterpart domain of Audio Emotion Recognition, which focuses upon detection of emotional stimuli resulting from non-musical ...

Emotion analysis in text has drawn recent interests in the software engineering (SE) community. Existing domain-independent techniques for automated emotion/sentiment analysis perform poorly when operated on SE text. Thus, a few SE domain-specific tools ...

Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. However, the use of content-based feature representations does not give ...

Emotional analysis continues to be a topic that receives much attention in the audio and music community. The potential to link together human affective state and the emotional content or intention of musical audio has a variety of application areas in ...

"Time to Compile"1 is the result of an extended in-house residency of an artist in a robotics lab. The piece explores the temporal and spatial dislocations enabled by digital technology and the internet and plays with human responses to articulated ...

Existing tools for automated sentiment analysis in software engineering text suffer from either or both of two limitations. First, they are developed for non-technical domain and perform poorly when operated on software engineering text. Second, those ...

This paper presents a research conducted to verify the influences of emotion on electroencephalogram (EEG)-based cryptographic key generation system. Emotion, such as negative and positive feelings, involves in EEG signal, and hence it may ...