Human Data Interaction (HDI)
1/2. Semester
5 ECTS | 4 SWS
Continuous Assessment (CA)
Design Intuitive Data Interaction: Develop and evaluate innovative interactive systems for the visualization and analysis of complex data, combining concepts from perceptual psychology, interaction design, and data visualization.
Contents
- Fundamentals of Human Psychology and Physiology in the Context of Novel Interaction Paradigms
- Classification and Characteristics of Emerging Interaction Paradigms, such as Gestural Interfaces, Multitouch Interfaces, Tangible Interfaces, and Natural User Interfaces
- Fundamental Design Concepts for the Visualization of Large Data Sets
- Core Interaction Techniques for the Analysis, Manipulation, and Transformation of Large Data Sets
- Comprehensive Evaluation Criteria for Interactive Systems (including Hedonic Quality, Intuitiveness, and Usability)
- Design (and Development) of an Innovative Interactive System for Data Interaction in a Team Project
- Technologies and Architectures (Development Methods and Tools) in the Context of Human Data Interaction
Competencies
Students are able to
- understand design concepts for the visualization and analysis of complex datasets in selected application domains, such as geographic and medical data.
- understand the relationship between visualization design concepts and the principles of perception psychology.
- understand the key concepts and techniques for designing and implementing innovative interactive systems, such as gestural and touch-based interfaces, and explain their interrelationships.
- analyze, evaluate, and develop innovative interactive systems based on defined criteria, including assessing their feasibility and potential impact.
- identify key research questions in the fields of innovative interactive systems and data visualization and classify emerging developments.
Literature
- Literatur in Form ausgewählter wissenschaftlicher Veröffentlichungen wird während des Semesters ausgeteilt.
Lecturer
- Prof. Dr. Till Nagel
- Prof. Kirstin Kohler
Recommended Previous Knowledge
-
Bewertung und Gestaltung von Mensch-Maschine-Systemen
-
Grundlagenwissen im Bereich der Analyse
Module Details
| Semester |
1/2 |
| Lecture Language |
German |
|
Frequency
|
Not regularly
|
| Credit Points (ECTS)
|
5 |
| Course Coordinator |
Prof. Kirstin Kohler |
| Duration |
1 Semester |
|
Course Achievement
|
None |
|
Prerequisite for exam
|
None |
|
Exam
|
Continuous Assessment (CA) |
Weekly Hours (SWS)
| Lecture |
2 SWS |
| Lab |
2 SWS |
| Sum |
4 SWS |
Work Load
| Lecture |
60 h |
| Self Study |
30 h |
| Project |
60 h |
| Sum |
150 h |
