As the global market for emotion recognition technologies (ERT)—which claim to use
artificial intelligence to recognize emotions—rapidly expands, there is also increasing …

Affective computing is an emerging area of education research and has the potential to
enhance educational outcomes. Despite the growing number of literature studies, there are …

Emotion recognition technologies, while critiqued for bias, validity, and privacy invasion,
continue to be developed and applied in a range of domains including in high-stakes …

The significance of artificial intelligence (AI) trustworthiness lies in its potential impacts on
society. AI revolutionizes various industries and improves social life, but it also brings ethical …

With the growing advancement in the field of technology., it is seen that artificial intelligence
is becoming the need of the hour., with the advent of self-driven cars., smart cities …

Modern emotion recognition systems are trained to recognize only a small set of emotions,
and hence fail to capture the broad spectrum of emotions people experience and express in …

As the popularity of wearables increases, so does their utility for studying emotions. Using
new technologies points to several ethical challenges to be considered to improve research …

Despite the promising performance of automated pain assessment methods, current
methods suffer from performance generalization due to the lack of relatively large, diverse …

The rapid development of artificial intelligence (AI) has led to increasing concerns about the
capability of AI systems to make decisions and behave responsibly. Responsible AI (RAI) …

Understanding emotions is fundamental to human interaction and experience. Humans
easily infer emotions from situations or facial expressions, situations from emotions, and do …