Over the last ten years there has been a growing interest around text-based chatbots,
software applications interacting with humans using natural written language. However …

Trust exerts an impact on essentially all forms of social relationships. It affects individuals in
deciding whether and how they will or will not interact with other people. Equally, trust also …

Recent developments in deep learning have resulted in code-generation models that
produce source code from natural language and code-based prompts with high accuracy …

Emotion recognition datasets are relatively small, making the use of the more sophisticated
deep learning approaches challenging. In this work, we propose a transfer learning method …

Multimodal emotion recognition aims to identify human emotions from text, audio, and visual
modalities. Previous methods either explore correlations between different modalities or …

The COVID-19 pandemic led universities to transform the traditional teaching methodologies
into distance education. Therefore, social media has become progressively prominent as …

In light of the trend in integrating artificial intelligence and robotics into tourism and
hospitality operations, it is important to understand consumer responses to hotel service …

Natural human-computer interaction and audio-visual human behaviour sensing systems,
which would achieve robust performance in-the-wild are more needed than ever as digital …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

Modulating emotional responses to virtual stimuli is a fundamental goal of many immersive
interactive applications. In this study, we leverage the illusion of illusory embodiment and …