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Course syllabus

Introduction to Human-centered Design for AI, 5 credits

Introduktion till människocentrerad AI, 5 hp

Course code: IK8025

School of Information Technology

Level: Second cycle

Select course syllabus

Version
2025-01-20 - Until further notice

Finalized by: Forsknings- och utbildningsnämnden, 2024-09-18 and is valid for students admitted for spring semester 2025.

Main field of study with advanced study

Informatics, Second cycle, has only first-cycle course/s as entry requirements. (A1N)

Entry requirements

Degree of Bachelor or Degree of Bachelor of Science in Engineering or the equivalent of 180 Swedish credit points or 180 ECTS credits at an accredited university. English 6. Exemption of the requirement in Swedish is granted.

Placement in the Academic System

The course is given as a single subject course.

Objectives

The aim for this fundamentals course is to introduce the diverse fields of human-centered design and artificial intelligence (AI) to a multidisciplinary target group. By exposing different perspectives of the intersection of human-centered design and AI, the student will get an overall understanding of the possibilities of using AI technologies for designing human-centered services and products.


Following successful completion of the course the student should be able to:



Knowledge and understanding

  • describe the fields of human-centered design, artificial intelligence, and their overlap
  • identify possibilities and limitations with AI as a design material for user experience design



Skills and ability

  • demonstrate ability to identify practical design implications with AI-driven services and products
  • apply human-centric guidelines for adaptive and (semi-)autonomous services and products



Judgement and approach

  • critically analyze how a human-centered design process can be affected by AI technologies

Content

The course consists of three parts:

I. Human-centered design (2 credits)
In the first part we introduce the fundamentals of human-centered design and human-computer interaction, such as information architecture, interaction design, usability, user experience, and Design Thinking. It provides a brief historical context to explain previous shifts in the field, and why AI can be approached as a new design material.


II. AI as a design material (2 credits)
The second part provides the fundamentals of AI as it relates to human-centered design. It introduces how different types of AI technologies such as Machine Learning work, and how it can affect end-user experience.


III. Conclusion: opportunities for human-centered design and AI (1 credits)
The final part of the course covers the various challenges and opportunities of design for, and with, AI. This part also relates these challenges and opportunities to new fields of study, such as designing for human augmentation, robotics, ethics of AI, service design and innovation, evaluation, and specific fields of application and implementation.

Language of Instruction

Teaching is conducted in English.

Teaching Formats

This course is based on video lectures and other resources such as podcasts, articles, and books. Students and teachers will meet in online forums to discuss course content.

Grading scale

Two-grade scale (UG): Fail (U), Pass (G)

Examination formats

The course is examined by individual written assignments.

2201: Written Assignment I, 2 credits
Two-grade scale (UG): Fail (U), Pass (G)

2202: Written Assignment II, 2 credits
Two-grade scale (UG): Fail (U), Pass (G)

2203: Written Assignment III, 1 credits
Two-grade scale (UG): Fail (U), Pass (G)

Exceptions from the specified examination format

If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.

Course evaluation

Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.

Course literature and other materials

Select literature list
2025-01-20 – Until further notice

Literature list 2025-01-20Until further notice

Carroll, J.M. Human Computer Interaction - brief intro.https://www.interaction-design.org/literature


Grudin, J. AI and HCI: Two fields divided by a common focus. AI Magazine, 30 (4), (2009) pp. 48-48.


Hassenzahl, M. User Experience and Experience Design. https://www.interaction-design.org/literature


Johnson, M., & Vera, A. No AI is an island: the case for teaming intelligence. AI Magazine, 40 (1), (2019) pp. 16-28.


Löwgren, J. Interaction Design - brief intro. https://www.interaction-design.org/literature


Maeda, J. How to Speak Machine - Computational Thinking for the Rest of Us. Portfolio Penguin / Random House, 2019.


Xu, W. Toward human-centered AI: a perspective from human-computer interaction. Interactions, 26 (4), (2019) pp. 42-46.


Wärnestål, P. Designing AI-Powered Services. Studentlitteratur, 2022