Lectures: building 640 (PUIO), room E107, Tuesday 2pm-3:30pm - map
Instructor: Michel Beaudouin-Lafon mbl@lri.fr
TA sessions: building 640 (PUIO), room E107, Tuesday 4pm-5:30pm - map
Teaching Assistants: Katerina Batziakoudi and Eya Ben Chaaben
TA website: https://ecampus.paris-saclay.fr/course/view.php?id=120172
Week 1: Lecture Tuesday 5 September, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
Week 2: Lecture Tuesday 12 September, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
Week 3: Lecture Tuesday 19 September, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
Week 4: Lecture Tuesday 26 September, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
Week 5: Lecture Tuesday 3 October, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
Week 6: Lecture Tuesday 10 October, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
Week 7: Lecture Tuesday 17 October, 2pm-3:30pm, E107 / TA 4pm-5:30pm, E107
This is a mandatory course between for the first year of the Interaction Specialty of the Master in Computer Science and the EIT Digital Master in Human-Computer Interaction and Design. It is also open to students from other specialties of the Master in Computer Science of Université Paris-Saclay and to the students of the Interaction, Graphics and Design Masters of Institut Polytechnique de Paris.
The course gives an overview of the field of human-computer interaction, including a review of interaction styles, basic elements of psychology and software engineering for HCI, an in-depth analysis of graphical interaction and the notion of conceptual modeling. It is complemented by the Fundamentals of HCI 2 course.
This page and its content are solely for students enrolled in the 2023-2024 HCI Masters at Université Paris-Saclay. It contains instructor's material (slides and audio/video recordings) that are not to be distributed without the author's written consent, and copyrighted materials (such as articles) that are only made available under the fair use exception to copyright law.
General psychology:
Visual system:
Visual illusions:
Auditory illusion:
Motor system:
Cognitive biases (general):
Cognitive biases in HCI: