3 ECTS credits
84 h study time

Offer 1 with catalog number 1024060BNR for all students in the 1st semester at a (B) Bachelor - advanced level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Enrolling in ‘Human-AI Interaction’ means that you simultaneously follow 'Human-Computer Interaction' and 'Introduction to Artificial Intelligence' or have successfully passed 'Human-Computer Interaction' and 'Introduction to Artificial Intelligence'.
Taught in
Dutch
Faculty
Faculty of Sciences and Bioengineering Sciences
Department
Computer Science
Educational team
Bart De Boer (course titular)
Activities and contact hours
24 contact hours Lecture
24 contact hours Independent or External Form of Study
Course Content

Together with “Human-Computer Interaction”, this forms a course series in which students
will be introduced to the general principles of Interaction Design for digital as well as
physical products, including different tools and methods for the requirements analysis,
prototyping as well as evaluation. Thereby, a special focus will be on user-centred design
where users are involved early in the design process and provide feedback during multiple
iterations of the Interaction Design Lifecycle model.
In this (second) part, we will focus more on the AI aspects in interaction design and
human-computer interaction, including topics such as implicit human-computer interaction,
affective computing and how to design experiences for AI. We will investigate very recent
guidelines for human-AI interaction (e.g. see paper on ‘Guidelines for Human-AI Interaction’
1 presented at CHI 2019) and have a look at the User-Context Perception Model (UCPM) and
how the potential awareness mismatch can have a negative impact on the user experience.
We will further discuss the important topic of intelligibility in human-AI interaction and have
a look at various use cases. There will be a course assignment where students can apply the
different phases of the Interaction Design Lifecycle model as well as apply some of the
guidelines for human-AI interaction.

Additional info

NA

Learning Outcomes

General competences

  • To have knowledge and understanding of Interaction and academic skills.
  • Being able to apply knowledge about interaction.
  • To be Familiar with the ethical, normative and social implications of science and technology, in particular AI.
  • To be able to communicate verbally and in writing at an academic level.

Grading

The final grade is composed based on the following categories:
Written Exam determines 100% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

  • Exam with a relative weight of 1 which comprises 100% of the final mark.

Additional info regarding evaluation

Exam + assignment.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Bachelor of Artificial Intelligence: Default track (only offered in Dutch)