The interdisciplinary field of explainable artificial intelligence (XAI) aims to foster human
understanding of black-box machine learning models through explanation-generating …

Researchers and software users benefit from the rapid growth of artificial intelligence (AI) to
an unprecedented extent in various domains where automated intelligent action is required …

Understanding emotions is key to Affective Computing. Emotion recognition focuses on the
communicative component of emotions encoded in social signals. This view alone is …

Virtual agent research has evolved into a substantial body of work, albeit one with a
fragmented structure and overlap**, and at times inconsistent, definitions and results. The …

Rising unemployment has led to many discouraged job seekers. While the impact of job
seekers' motivation on interview performance is acknowledged in previous research, little …

Co** with stress is critical to mental health. Prolonged mental stress is the psychological
and physiological response to a high frequency of or continuous stressors, which has a …

Nonverbal behavior of socially interactive agents (SIAs) is often automatically generated and
identical across all users. This approach, though economic, might have counterproductive …

This paper presents a study that examines whether social agents can elicit the social
emotion shame as humans do. For that, we use job interviews, which are highly evaluative …

Virtual agents play an important role when we interact with machines. They are in the role of
assistants or companions with less or more human-like appearance. Such agents influence …

Abstract The eXplainable Artificial Intelligence (XAI) research agenda is constantly
expanding. From a mainly technical topic, it has now developed into a multidisciplinary area …