Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …

Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …

Emotions play a critical role in our daily lives, so the understanding and recognition of
emotional responses is crucial for human research. Affective computing research has mostly …

Facial expression is central to human experience. Its efficiency and valid measurement are
challenges that automated facial image analysis seeks to address. Most publically available …

Highlights•Reviews literature on emotion dynamics, the patterns of emotion change over
time.•Proposes a set of basic principles involved in emotion dynamics.•Special attention …

The goal of this study was to validate AFFDEX and FACET, two algorithms classifying
emotions from facial expressions, in iMotions's software suite. In Study 1, pictures of …

Existing research on information privacy has mostly relied on the privacy calculus model,
which views privacy‐related decision‐making as a rational process where individuals weigh …

Categorical models of emotions posit neurally and physiologically distinct human basic
emotions. We tested this assumption by using multivariate pattern analysis (MVPA) to …

This study validates automated emotion and action unit (AU) coding applying FaceReader 7
to a dataset of standardized facial expressions of six basic emotions (Standardized and …

Reflections upon the meaning of the word 'design'are made and a relatively complete
definition of the paradigm of human centred design is formulated. Aspects of both the …