Towards Context Based Affective Computing

Abstract

INTRODUCTIONUnconsciously, humans evaluate situations based on environment and social parameters when recognizing emotions in social interactions. Contextual information such as the ongoing task, the identity and natural expressiveness of the individual, and other people involved, helps us interpret and respond to social interactions [1]. Without context, even humans may misunderstand the observed facial, vocal or body behavior. Then, an important related issue that should be addressed in automatic affect recognition is how to take into account the context information for real-world affect related applications.Investigating context in affect recognition is relevant for the fields of Affective Computing and Intelligent Interaction since contextual information cannot be discounted in doing automatic analysis of human affective behavior [1]. Embedding contextual information, such as culture and environment, provides a different flavor to each interaction, and makes for an interesting scientific study. Such kinds of analysis lead us to consider real-world parameters (e.g. medical environment) and complexities in developing humancentric systems for affect recognition.The aim of this Workshop is to explore new challenges in automatic context based audio, visual, body and/or multimodal affect recognition. The key aim of the workshop is to explore the issues, benefits, and drawbacks of integrating context on affect production, interpretation and recognition. We wish to investigate the cutting-edge behavioral studies and methodologies that can be applied to (1) model the social and cognitive theories of context based social and/or affective interaction (2) automatic extraction of context information (like multi-modal sensing systems, observation, and behavior models), (3) incorporation of contextual information in emotion corpora (e.g. how it ought to be represented, what contextual information are relevant (i.e. is it domain specific or not)), and (4) integration of the context to the audiovisual frameworks for affect recognition to improve their performances.The workshop focuses on making affect recognition more robust and deployable in real-world situations (e.g. work, home, school, and health care environment) by focusing on simple domains of applications and analyzing how affect recognition systems can be improved via contextual information.As affective computing is a multidisciplinary field that requires theories, methods, and technologies from different disciplines, the Workshop aims at bringing together scientists working in related areas of social signal processing, psychology, affective computing, ambient computing and smart environments, and machine learning to share their expertise and achievements in the emerging field of automatic and context based audio, visual and/or multimodal affect analysis and recognition.The contributions of the second edition of the context based affect recognition workshop tackle contextual information in relation to corpus recording and annotation, the role of context in affect rec...

Análisis de jingles publicitarios de los 80’s y 90’s mediante computación afectiva

“…Affective computing is a discipline of artificial intelligence that aims at developing systems capable of recognizing, interpreting, processing, and simulating human emotions to improve the interaction between the user and the computer (Baldasarri, 2016). Affective systems are capable of: i) capturing and recognizing the emotions of a user through the measurement of physiological variables like voice, facial expression, etc., ii) processing the data obtained and classifying it using machine learning algorithms to determine an emotional state, and iii) generating the corresponding responses and emotions through different channels: colors, sounds, robots, or virtual characters with facial expressions (Baldasarri, 2016;Hammal and Suarez, 2013;Juca Maldonado, García Saltos, Burgos Bencomo, and Navarro Silva, 2018;Rudovic, 2016). One of the ways of carrying out the emotional analysis of a musical track is through the extraction of acoustic variables such as arousal and valence.…”

Context in Human Emotion Perception for Automatic Affect Detection: A Survey of Audiovisual Databases

“…These datasets should systematically capture situations where human perceivers use contextual information to infer affective states. However, developing such datasets is a challenging endeavor, because it is often unclear what constitutes relevant context for affect detection [8], [9].…”

Ανάλυση Συναισθήματος Και Γνώμης

“…Η ενσωμάτωση του πλαισίου στην ανάλυση της συναισθηματικής ανθρώπινης συμπεριφοράς βρίσκεται στη διασταύρωση των συναισθηματικών υπολογιστικών συστημάτων και των συναισθηματικά συνειδητών συστημάτων αλληλεπίδρασης των ηλεκτρονικών υπολογιστών, δεδομένου ότι οι πληροφορίες περιβάλλοντος/πλαισίου δεν μπορούν να αποφευχθούν στην αυτόματη ανάλυση της συναισθηματικής συμπεριφοράς του ανθρώπου. Οι συνεισφορές των συναισθηματικά υπολογιστικών συστημάτων που έχουν επίγνωση του πλαισίου επιβεβαιώθηκαν κατά τη διάρκεια των δύο πρόσφατα οργανωμένων συνεδρίων σχετικά με την Αναγνώριση Συναισθήματος όταν λαμβάνουμε υπόψιν το πλαίσιο (CBAR 2012 και CBAR 2013 [94]), που διεξήχθησαν σε συνεργασία με το SocialCom2012 και το ACII 2013 αντίστοιχα. Πιο συγκεκριμένα, το συνέδριο CBAR 2013 ήταν ένα από τα συντομότερα workshops του ACII 2013 με τις πιο ενδιαφέρουσες ερευνητικές φιγούρες (Schuller, Gratch), οι οποίες είναι ενδεικτικές της αναδυόμενης αυτής ερευνητικής περιοχής.…”

“…Incorporating context in affective human behavior analysis lies at the intersection of context aware affective computing systems and affective aware intelligent human computer interaction systems since contextual information cannot be discounted in doing automatic analysis of human affective behavior. The contributions of context aware affective computing systems were demonstrated during the two recently organized workshops on Contextbased Affect Recognition (CBAR 2012 and CBAR 2013 [94]), held in conjuction with SocialCom2012 and ACII 2013 respectively. More specifically, the CBAR 2013 workshop was one of the shortest workshops in ACII 2013 with the most interesting keynotes (Schuller, Gratch) which is indicative of the research area's status.…”