Course syllabus - Interaction Design

Objectives

The aim of the course is for the student to acquire the ability to apply basic principles, processes and models for designing interactive systems and digital artifacts on the border between human-centered artificial intelligence and human-computer interaction. The course will also raise reflections on users, ethical aspects and gender aspects in the design and development of new technology.

Learning outcomes

After completing the course, the student should be able to: 

1. Demonstrate the ability to apply the design process when designing interactive digital artifacts,

2. Demonstrate an ability to conduct user studies to evaluate a design, 

3. Demonstrate - through literature studies, references and in practical work - how the design work is based on scientific contributions in the field, 

4. Design and develop interactive prototypes and digital artifacts on the border between human-centered artificial intelligence and human-computer interaction, 

5. Orally and in writing present and discuss information, problems and solutions in dialogue with different groups and also 

6. Demonstrate the ability to make assessments with respect to users, ethics and gender aspects in interaction design on the border between human-centered artificial intelligence and human-computer interaction.

Course content

The course focuses on the design process of interactive systems as well as systems on the border between human-centered artificial intelligence and human-computer interaction. I.e., how they should be designed and developed such that communication between systems and users works in a trustworthy, desirable and expected way. Methods for interaction design: design methods in the creative phase, concept development, interaction techniques and evaluation techniques are presented and applied. The course contains exercises and projects with a focus on practical design work of digital artifacts on the border between human-centered artificial intelligence and human-computer interaction. Considerations of users, ethical aspects, gender aspects in interaction design are presented and discussed during project work. The course also includes academic writing in the scientific field and provides an overview of current research in the field.

Specific requirements

Introduction to Applied Artificial Intelligence 7.5 credits and  Programming 7.5 credits.

Examination

Written assignment (INL1),  An exercise that is reported as a report, 1.5 credits, examines the learning outcomes 3 and 5, marks Fail (U) or Pass (G). 
Project (PRO1), An exercise that is reported as a paper prototype and a report, 3 credits, examines the learning outcomes 1, 2 and 5, marks Fail (U), 3, 4 or 5. 
Project (PRO2), An exercise that is reported through a digital prototype and a video, 3 credits, examines the learning outcomes 1, 4 and 6, marks Fail (U) or Pass (G).

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass with distinction, Pass with credit, Pass, Fail

Interim Regulations and Other Regulations

The course overlaps with 2,5 credits with DVA123 Interaction Design.