Study-unit AFFECTIVE COMPUTING
| Course name | Informatics |
|---|---|
| Study-unit Code | A003408 |
| Curriculum | Comune a tutti i curricula |
| Lecturer | Valentina Franzoni |
| Lecturers |
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| Hours |
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| CFU | 6 |
| Course Regulation | Coorte 2023 |
| Supplied | 2024/25 |
| Supplied other course regulation | |
| Learning activities | Affine/integrativa |
| Area | Attività formative affini o integrative |
| Sector | INF/01 |
| Type of study-unit | Opzionale (Optional) |
| Type of learning activities | Attività formativa monodisciplinare |
| Language of instruction | English |
| Contents | This course introduces students to the growing intersection of Artificial Intelligence, Neuroscience and Affective Psychology, known as Affective Computing. Students will gain interdisciplinary theoretical and practical knowledge on the detection and analysis of human emotions through Artificial Intelligence techniques, as well as the application of Affective Computing in different contexts, including robotics, health, education and entertainment. The ethical and social implications of Affective Computing and how these can be managed through the ethical responsibility of researchers and developers will also be explored. The course will involve the design and development of a research project in the field of Affective Computing to provide students with practical experience and application of the topics covered. |
| Reference texts | Study materials provided by the professor. Optional: Book: Gender in AI and Robotics The Gender Challenges from an Interdisciplinary Perspective. DOI: https://doi.org/10.1007/978-3-031-21606-0 Publisher:Springer Cham Hardcover ISBN 978-3-031-21605-3 Published: 02 March 2023 Softcover ISBN 978-3-031-21608-4 Due: 16 March 2024 eBook ISBN 978-3-031-21606-0 Published: 01 March 2023 |
| Educational objectives | Understand the role of emotions in human communication and in relation to technologies Acquire theoretical and practical knowledge about Affective Computing, understood as an interdisciplinary research field that combines Artificial Intelligence with Psychology and Neuroscience Examine the applications of Affective Computing in different contexts, such as robotics, health, virtual and augmented reality, education and entertainment Exploring the ethical and social implications of Affective Computing Designing, and developing a research project in the field of Affective Computing |
| Prerequisites | Useful but not indispensable to have taken and passed examinations in artificial intelligence and machine learning. The teaching can be followed also by students of other courses. |
| Teaching methods | The course will be delivered face-to-face (and online where necessary and permitted), with theoretical lectures and practical exercises. Seminars and meetings with experts in the field will also be organised in order to deepen the course topics and discuss new research trends. |
| Other information | The lecturer is available for lectures, tutorials and examinations in English or Italian. |
| Learning verification modality | Assessment will be based on- Active participation in lectures and practical exercises- Development of an individual or group research project- Oral presentation of the project at the end of the course |
| Extended program | Introduction to Affective Computing- Definition and research areas of Affective Computing- History and development of the field- Role of emotions in human communication Theoretical foundations of Affective Computing- Theory of emotions and cognitive affective states- Affective neuroscience- Cognitive and emotional psychology- Artificial intelligence and machine learning Emotion detection and analysis Methods of emotion detection, including:- Human physiology detection (e.g., EEG, GSR, EMG)- Recognition of facial expressions- Voice and tone detection- Detection of text semantics Analysis of collected data and interpretation of information Applications of Affective Computing- Affective Robotics- Mental health and well-being- Education and customised learning- Virtual and augmented reality and entertainment- Marketing and advertising- Other application fields of Affective Computing Ethical and social implications of Affective Computing- Privacy and data security- Social impact of affective technologies- Limits and risks of Affective Computing- Ethical responsibility of researchers and developer |
| Obiettivi Agenda 2030 per lo sviluppo sostenibile | The course responds to the objectives of the Agenda 20230 for Sustainable Development, in particular the following goals No. 3 Health and well-being no. 4 Quality education no. 5 Gender equality no. 9 Industry, innovation and infrastructure no. 10 Reducing inequalities |