Overview
The seminar will introduce students to the exciting opportunities computational methods bring to the design of interactive systems. Every week we will hear about state-of-the-art research that applies methods from machine learning, optimization, bayesian theory, or other fields in order to improve the users interaction with a computing system or to enable entirely new ways to interact.
Announcements
- 06.02.2018
- Correction: Topics will be assigned in the first meeting, 19.02.19. This meeting is mandatory in order to participate in the course. If you are enrolled in the course, you can alread vote on a paper. Please contact Anna Feit for further information on how to vote.
- 17.12.2018
- Topics will be assigned two weeks before the initial meeting. Therefore, there will be a pre-meeting on January 29, 2 - 3 pm in CAB H 53. The meeting is mandatory in order to participate in the course.
- Historian: Find out how this paper sits in the context of the related work. Use bibliography tools to find the most influential papers cited by this work and at least one paper influenced by the work (and summarize the two papers briefly).
- Presenter: Give a short talk about the paper that you read in depth.
- PhD student: Propose a follow-up project for your own research based on this paper - importantly the project should be directly inspired by the paper or even use/extend the method proposed.
- Journalist: After the presentation, write an article about the the paper that can be understood by the general public; include points from the general discussion during the seminar, the historian, or the PhD student
- All students (every week): Come up with an alternative title; did the paper miss anything?
Topics
The list of papers will be published shortly before the initial meeting. Topics will cover the following areas:
User- and context modeling for UI adaptation
We will discuss papers with topics such as intent modeling, activity and emotion recognition, and user perception.Example papers:
Humans integrate visual and haptic information in a statistically optimal fashion
The Index of Pupillary Activity: Measuring Cognitive Load vis-à-vis Task Difficulty with Pupil Oscillation
Computational design
We will discuss papers with topics such as design mining, design exploration, UI optimization.Example papers:
Ability-Based Optimization of Touchscreen Interactions
AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time
Computer supported input
This topic includes text entry, pointing, gestural input, physiological sensing, eye tracking, and sketching.Example papers:
The word-gesture keyboard: reimagining keyboard interaction
Control Theoretic Models of Pointing
Manual and gaze input cascaded (MAGIC) pointing
Computer supported output
This topic includes such as information retrieval, fabrication, mixed reality interfaces, haptics, and gaze contingency.Example papers:
Foveated 3D Graphics
Gaze-Contingent Manipulation of Color Perception
FLARE: Fast Layout for Augmented Reality Applications
Goal
The goal of the seminar is to familiarize students with exciting new research topics in the area of computational interaction - the application of computational methods to enhance the interaction between a user and a system. Moreover, the seminar teaches basic scientific writing and oral presentation skills. It will have a different structure from regular seminars to encourage more discussion and a deeper learning experience.
We will use a case-study format where all students read the same paper each week but fulfill different roles and hence prepare with different viewpoints in mind.
Student roles:Attendance in the weekly meetings is mandatory.