Title: Affective Computing in HCI
Introduction to workshop
Affective Computing (AC) has become an emerging and important branch of artificial intelligence. AC’s overarching goal is to create systems that can interpret the emotional state of humans and adapt its behaviour in order to provide intuitive and appropriate emotionally informed responses. The field of AC directly applies to the advancement of HCI and can involve the study and development of systems, techniques and devices that can recognise, interpret, process and manage human emotional states.
This workshop provides a forum for exchange and discussion on affective computing in HCI, such as emotion detection, human and machine interaction, mood tagging, emotion modelling, semantic representation, affective support and tutoring, psychophysiology (GSR, EEG, HRV studies), mental health and wellbeing, positive computing.
Research topics
This workshop specifically addresses AC in a HCI context and the proposed workshop topics include, but are not limited to:
• AC analysis techniques in HCI
• Emotion recognition and detection algorithms
• Computational modelling for affective and emotional monitoring
• Facial/Speech/Text/Sentiment mining in emotion recognition
• AC in transportation HCI
• Emotion monitoring/tracking technology
• AC in the home environment
• AC in learning systems
• Mobile and cloud based AC
• Taking AC into the Wild
• AC challenges for HCI
• AC use cases in HCI
• Psychophysiology (GSR, EEG, HRV studies)
• Mental health and wellbeing using positive computing
• Cognate areas
For Submission Guidelines: See – http://hci2018.bcs.org/index.php/call-for-papers/