Universität Wien

051972 LP Design Thinking (2024W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle
Tu 29.10. 11:30-13:00 Seminarraum 5, Währinger Straße 29 1.UG

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.10. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 08.10. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 15.10. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 22.10. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 05.11. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 12.11. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 19.11. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 26.11. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 03.12. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 10.12. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 17.12. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 07.01. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 14.01. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 21.01. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG
  • Tuesday 28.01. 11:30 - 13:00 Seminarraum 5, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

Human considerations should direct Artificial Intelligence technology. This course explores how mental and user models of AI systems are developed and how these shape user expectations. It provides design guidelines for creating AI systems that are reliable, understandable, fair, and advantageous. The course also addresses the influence of AI on society and daily life, as well as the ethical implications of data collection and system operation, including respect for individuals, beneficence, fairness, and justice.

Students can conceptualize future visions in the context of digitalization and engage with these visions from a technical and creative perspective. They are familiar with co-constructive approaches to designing AI systems, such as Design Thinking and participatory design. Students can apply these approaches to selected example tasks and connect theoretical knowledge, technical foundations, and design issues to technology-related future questions.

Assessment and permitted materials

Participation (10%)
Practical work (40%)
Final exam (50%)

Minimum requirements and assessment criteria

Pre-requirements: Praktische Informatik (UF DGI 04)

Additional requirements: basic knowledge of Human-Computer Interaction, including low- and high-fidelity prototyping, human-centered design loop, formative vs. summative evaluation strategies, and basics of AI.

At least 40% on the written exam, 40% on the practical work, and 40% on the participation must be achieved for a passing grade.

Grading scale:
at least 87,5%: 1 (very good)
at least 75,0%: 2 (good)
at least 62,5%: 3 (satisfactory)
at least 50,0%: 4 (sufficient)

Examination topics

Exam topics:
The basic principles from the lectures will be tested in a final exam:
What is AI? + History of AI
Mental Models / Human experiences with AI in platforms, workplaces, and cities
Guidelines for Designing AI User Experiences
Transparent and explainable AI
Fair and responsible AI
Data ethics and transparency
Designing AI with stakeholders
Human-in-the-loop systems and human-AI collaboration
Designing for failure
Recommendation systems
Lay people: issues in AI literacy and understanding
Generative AI: What is it, and how does it work?
NLP-based AI: Chatbots and voice agents: prompt engineering
Creativity + AI

Reading list

Yvonne Rogers, Helen Sharp, Jenny Preece, Interaction Design: beyond human-computer interaction, 6th edition, John Wiley & Sons Ltd, 2023. ISBN: 978-1-119-90109-9
Additional literature will be provided in different papers and detailed for each lecture.

Association in the course directory

Last modified: Su 29.09.2024 16:45