ΥΠ20 - Human Computer Interaction

Information

Code : ΥΠ20

Type : Obligatory

Semester : 7

ECTS credits: 5

Course URL: https://eclass.hua.gr/courses/DIT265/

Expected Outcomes

- Understanding basic principles and cognitive models in human-machine interaction
- Understanding of the basic principles in the design of interactive systems
- Adoption of different methods for interactive system evaluation
- Analysis of basic principles of explainable artificial intelligence
- Analysis and understanding of basic categories of explainable artificial intelligence approaches (explainable, global and local methods)
- Understanding of the fundamental principles of deep learning
- Analysis of methods for extracting explanations from neural decision networks

Content

Week 1: Introduction to course
Week 2: Human-machine interaction
Week 3: Design of interactive systems
Week 4: Evaluation of interactive systems
Week 5: Introduction to explainable artificial intelligence
Week 6: Explainable artificial intelligence: Explainable models
Week 7: Explainable artificial intelligence: Explainable models and global methods
Week 8: Explainable artificial intelligence: Global and local methods
Week 9: Explainable artificial intelligence: Local methods
Week 10: Introduction to deep learning
Week 11: Explainable artificial intelligence: Neural network explanations
Week 12: Explainable artificial intelligence: Neural network explanations (2)
Week 13: Addressing questions for course assignments

Evaluation Means

- Project: Design of interactive systems and implementation of explainable artificial intelligence methods.
- Written exam: Development and multiple choice questions.

Bibliοgraphy

- Alan Dix, Janet Finlay, Gregory D. Abowd, Beale Russell, 2007, Human computer interaction. in Greek
- Nikolaos Avouris. Introduction to Human Computer Interaction. Diavlos publications. Athens 2000. in Greek
- “Interpretable Machine Learning”, C. Molnar, 2020, https://christophm.github.io/interpretable-ml-book/

- Jacko, Julie A., ed. "Human computer interaction handbook: Fundamentals, evolving technologies, and emerging applications." (2012).
- Adadi, Amina, and Mohammed Berrada. "Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)." IEEE access 6 (2018): 52138-52160.
- Arrieta, Alejandro Barredo, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García et al. "Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI." Information fusion 58 (2020): 82-115.