Future Interactive Technologies (Sommersemester 2019)

Lecturer: Prof. Dr. Patrick Baudisch (Human-Computer Interaction)

General Information

Weekly Hours: 4
Credits: 6
Graded: yes
Enrolment Deadline: 26.04.2019
Teaching Form: Lecture
Enrolment Type: Compulsory Elective Module
Course Language: German

Programs, Module Groups & Modules

IT-Systems Engineering MA

IT-Systems Engineering
- HPI-ITSE-A Analyse
IT-Systems Engineering
- HPI-ITSE-E Entwurf
IT-Systems Engineering
- HPI-ITSE-K Konstruktion
IT-Systems Engineering
- HPI-ITSE-M Maintenance
HCGT: Human Computer Interaction & Computer Graphics Technology
- HPI-HCGT-K Konzepte und Methoden
HCGT: Human Computer Interaction & Computer Graphics Technology
- HPI-HCGT-S Spezialisierung
HCGT: Human Computer Interaction & Computer Graphics Technology
- HPI-HCGT-T Techniken und Werkzeuge
SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-K Konzepte und Methoden
SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-S Spezialisierung
SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-T Techniken und Werkzeuge

Description

How will we interact with computers in the future? Will computers speak to our bodies directly by controlling our muscles and will we use our brains to talk to computers? Or will we delegate all interaction to robots or crowds of users located elsewhere? In this class, we will look at the future of interactive systems, as prototyped and discussed at top tier research labs across the globe. As a side effect, students learn the methodologies that allow them to conduct their own research. Most lecture days will take place in one of the following two following formats. (1) Current topics: Every week, we present a different hot topic in HCI, including Interactive Fabrication, Brain Computer Interfaces, Ubiquitous Computing, Multi-Touch Systems, Information Visualization, Augmented Reality, 3D Displays, Mechanical Turk, Computer Supported Collaborative Work, Affective Collaboration, and Art vs. Science. Classes combine traditional lecture style with paper discussions in which students and faculty together explore selected original literature in more detail. (2) Methods: In order to allow students to pursue their own projects, we explore basic scientific process including study design, definition of hypotheses, simple statistical methods (T-test and Anova), as well as how to conduct a survey. As part of this segment, students will conduct their own simple studies and analyze the results.

Requirements

No prerequisites.

Examination

There will be 60 min midterm exam and a 60 min final exam. In order to be admitted to the exams, participants need to successfully complete homework assignments. Students will analyze papers, conduct a study and present their work in class.

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