Scope
The HEART workshop aims to explore the latest advancements in affective computing, focusing on how systems can recognize, interpret, and respond to human emotions to improve user experiences in Human-Computer Interaction (HCI). This workshop will gather interdisciplinary experts to discuss technological, ethical, and practical aspects of building emotionally responsive systems across various fields, such as healthcare, education, entertainment, and AI-driven applications.
By combining perspectives from cognitive science, psychology, computer science, and AI, the workshop seeks to advance the development of emotionally intelligent systems that enhance user interaction, engagement, and satisfaction. It will also address the ethical implications of these technologies, particularly in terms of data privacy and the responsible use of emotional information.
Topics
1. Emotion Detection and Recognition Technologies
- Techniques for capturing and analyzing emotions through facial expressions, voice, physiological signals, and gestures.
- Machine learning algorithms and AI-driven systems for real-time emotion recognition.
2. Multimodal Affective Systems
- Combining multiple sensory inputs (EEG, visual, auditory, physiological) to enhance emotional detection accuracy.
- Applications of multimodal systems in interactive environments (e.g., gaming, virtual reality, social robots).
3. Emotionally Responsive Interfaces
- Systems that adapt based on user emotional states, improving engagement and interaction.
- Case studies in adaptive user interfaces in areas such as education, entertainment, and customer support.
4. Affective Computing in Healthcare and Tourism
- Applications of affective computing in monitoring patient emotions and supporting mental health.
- Emotion-aware systems in therapy, mental health apps, and well-being technologies.
- Affective technologies can tailor travel experiences based on tourist emotions, offering recommendations that match their mood or preferences during the trip.
5. Affective AI and Emotional Intelligence
- Development of AI that can model, predict, and respond to human emotions in complex scenarios.
- Emotional AI in customer interactions, virtual assistants, and autonomous systems.
6. Ethical, Privacy, and Bias Concerns in Affective Computing
- Ethical issues in collecting and using emotional data, including user consent and emotional manipulation.
- Addressing biases in emotion detection algorithms and ensuring fairness in affective systems.