Teaching

HCI Winter School

Professors
Year
Trimester
Level

Wendy Mackay

2021
T3
M1

The HCI Winter School exposes Masters students to research in the Human-Centered Interaction Department and teaches how to read, present and discuss the research literature.

About

The HCI Winter School is a practical, hands-on course to expose students to the wide range of research in Human-Computer Interaction, with an emphasis on the research conducted at in the Department of Human-Centered Interaction at the Université Paris-Saclay . On a practical level, students will learn to read the research literature, as well as present and discuss it. This course is Part 1 of the Career Seminar, which continues in year two of the Masters program.

Schedule

Because of the pandemic, the HCI Winter School will be via video. Please use your eCampus account to log in.

The course begins on Friday morning, on 8 January, 2021 at 9h00 and continues weekly until 19 February.
The first class involves lecture and exercises related to reading the research literature in Human-Computer Interaction.
The remaining classes will each introduce a lab within the Human-Centered Computing Department, where researchers will discuss their current research and ask students to engage in activities related to that research. After a break, students will work in small groups to present and discuss the articles assigned the previous week, followed by a brief description of the readings for the upcoming week.

08 Jan
Course Introduction: (Wendy Mackay)
Reading and Reporting on the HCI Research Literature (Wendy Mackay)
Introduction to LaTeX and Overleaf (Michel Beaudouin-Lafon)

15 Jan
Lab Presentation ExSitu: Extreme Situated Interaction (Michel Beaudouin-Lafon & Wendy Mackay)
Group exercises

22 Jan
Lab Presentation ILDA: Interaction with maps (Caroline Appert & Emmanuel Pietriga)
Group exercises

29 Jan
Lab Presentation VENISE: Virtual and Augmented Reality: Research and Applications (Nicolas Ferey & Huyen Nguyen)
Group exercises

05 Feb
Lab Presentation AMI: Movement-based Human-Machine Cooperation (Ouriel Grynszpan & Jules Françoise)
Group exercises

12 Feb
Lab Presentation CPU: Designing Multimodal and Social Human-Machine Interactions for Training and Coaching (Jean-Claude Martin)
Group exercises

19 Feb
Lab Presentation AVIZ: Visualization for Understanding, Exploring and Interacting with Data and Analytics (Jean-Daniel Fekete)
Group exercises

 
 
 
 

Grades

This page contains the grades for the 2020 - 2021 session.

General comments on the literature reviews

You need to be very careful about “unsubstantiated claims”, which means that you make a broad statement, but do not give a reference or any evidence to support it.
Also, a few of the sections did not really explain what the authors did in the paper, and instead offered a vague statement about users liking the system. It was not clear in those cases that you actually read the paper (I suspect not…)
Sometimes, the writing is very informal, which I’ve noted. Avoid words like “nowadays” (old-fashioned and only used orally).
Much of the writing is very redundant or includes vague statements that do not add any information. Every statement in a research paper or literature review should add content.

All in all, a good start, but I would have liked to see more evidence that you took the Career seminar and had read the Elements of Style. (It is not too late …)
I do not know who wrote what within your groups, but it’s clear that some of you really do know how to write and did an excellent job, so bravo.

Group 1: Creativity Support Tools

• Julia Biesiada
• Piotr Borissov
• Gaia Businaro
• Kevin Ratovo

Your grade is 16.5/20.
Please, check the comments on your review.

Group 2: Augmented Tangible Interface for Molecular Biology

• Isabel Fretter
• Mohamed Benkhelifa
• Nathan Schoech
• Auguste Jerlström

Your grade is 12/20.
Please, check the comments on your review.

Group 3: Interaction with Wall-Sized Displays

• Loba Ambemou
• Hugo De oliveira
• Florian Apavou
• Floriana Pieprzyk

Your grade is 14/20.
Please, check the comments on your review.

Group 4: Mobile data visualization

• Beiqian Liu
• Chengwei Ma
• Renyi Yuan

Your grade is 13/20.
Please, check the comments on your review.

Group 5: Telepresence: research and perspectives

• Nicolas Falcoz
• Johann Equilbec
• Damien Verani
• Camille Dupré

Your grade is 14/20.
Please, check the comments on your review.

Group 6: Data physicalization

• Mathilde Verriez-Chastang
• Kevin Huart
• Idriss Taghoury
• Antoine Ayoub

Your grade is 16/20.
Please, check the comments on your review.

Group 7: Geovisualization & map navigation

• Sahel Wissal
• Wan-Hsuan Chiang
• Javad Soltani
• Patricia Ferreira Alves

Your grade is 15/20.
Please, check the comments on your review.