In recent years, interest in affective computing (AC) have led to advances in speech recognition, natural language processing, facial expression detection, and applying machine learning using wearables. The workshop will focus on the convergence of methodologies that contribute to detecting emotional and psychometric patterns based on machine learning algorithms, wearables, Internet of Things (IoT), and databases to capture important aspects of affective computing.

Active research areas that are relevant to affective computing include:
• Applications using wearables to detect/classify affect, stress, fatigue, and medical emergencies
• Recognition and prediction of affect and emotion using convolutional neural networks
• Social informatics applications: group behavioral effects and feedback, location-awareness
• Predicting/classifying real-time annotated data using spatiotemporal learning and inference
• Machine learning using biometric data to classify biosignals
• Wearable computing applications, especially based on experience sampling methods
• Facial recognition in predicting bonding in conversations
• Electrothermal methodologies in affective computing

The emphasis of this workshop shall be approaches based on the extraction of emotional and physiometric patterns from heterogeneous sources including but not limited to: wearables, spatiotemporal methods, convolutional neural networks, and other machine learning and inference algorithms.

Application areas that exhibit extant needs for affective computing include:
• Biomedical Research: medical informatics, behavioral and cognitive neuroscience
• Data Science for Social Good: computational sustainability, disaster management
• Wearable Computing: health applications, sensor analytics, mobile applications
• Internet of Things (IoT) and Cyber-Physical Systems: spatiotemporal, hybrid systems
• Human Computer Interaction (HCI): augmented reality/mixed reality systems, usability
• Other Application Areas: mobile computing, virtual reality

This workshop shall help to bring together people from these different areas and present an opportunity for researchers and practitioners to share new techniques for identifying and analyzing applications in affective computing that integrate multiple fields and disciplines. We also propose to coordinate with the wearables community to find opportunities for cross-fertilization and interdisciplinary collaboration.