Emotion Model for Child Helpline Training Tool

Child helplines play a crucial role in delivering expert assistance to young clients facing challenges and seeking support. While counselling is instrumental in enhancing children’s mental well-being, the limited number of experienced counsellors is inadequate given the substantial workload. At this point, effective training to volunteer...

Annotation practices in affective computing: What are these algorithms actually trained on?

In the machine learning research community, significant importance is given to the optimization of techniques which are employed once a benchmark dataset is given. However, less importance is assigned to the quality of these datasets and to how these datasets are obtained. In this work, we look into annotation practices in the research area of...

Affect Representation Schemes used in Music Automatic Affect Prediction: A Systematic Literature Review

There is a correlation between music and affect which researchers try to define and use in technology to improve healthcare and users' experience in music-related technology. However, since affect is a complex term there is not a specified way on how to represent different affective states in systems. A systematic literature review was performed...

Survey of Affect Representation Schemes in Physiological Automatic Affect Recognition: A Systematic Literature Review

Physiological signals, such as Electroencephalogram (EEG), Glavic Skin Response (GSR), or Body Temperature, are common inputs for Automatic Affect Recognition (AAR) systems. One of the crucial elements of AAR is the Affect Representation Scheme (ARS) used to define the affective states recognized by the system (e.g., happiness, sadness, fear,...

Affect Representation Schemes Used in Affective Video Content Analysis: A Systematic Literature Review

Affective Video Content Analysis aims to automatically analyze the intensity and type of affect (emotion or feeling) that are contained in a video and are expected to arise in users while watching that video. This study aims to provide a systematic overview of various affect representation schemes utilised by researchers in the field of...

The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features

Continuous affective self-reports are intrusive and expensive to acquire, forcing researchers to use alternative labels for the construction of their predictive models. The most predominantly used labels in literature are continuous perceived affective labels obtained using external annotators. However an increasing body of research indicates...