نظرة عامة على البرنامج

Trustworthy Human-AI Interaction

The course is divided into a theoretical part (4.5 ECTS) and a practical part (3 ECTS). The theoretical part covers theoretical frameworks and methods for developing and evaluating intelligent interactive systems and provides introduction into how using these in practice. Parts of the content in the theoretical part are applied in the practical part, which is conducted in parallel, and that consists of a group project.

Course Description

The main theme of the course is theories, methods and technologies for the development of future intelligent interactive systems where humans and proactive, reactive, autonomous and social software agents communicate and cooperate to reach goals. Sometimes the software agents are embedded in robotic systems or in other artefacts/materials in the physical environment. The student will acquire knowledge about main research themes and experimental practices in the field of intelligent interactive systems as well as develop her/his skills in constructing and evaluating intelligent interactive systems. Different artificial intelligence methods and theories are introduced for developing intelligent interactive systems, e.g., knowledge graphs, OWL ontologies, SWRL, human activity recognition and human-aware planning. Paradigms such as mixed reality and virtual reality are also discussed as part of the modalities of interaction with between humans and intelligent systems.

Course Objectives

Different societal challenges will be addressed through cross-disciplinary collaboration in student projects. In the laboratory part of the course theories, methods and techniques discussed in the theoretical part are put into practice. From a societal perspective, the aim may be designing for empowerment, increasing autonomy, safety, competence, cohesion, social inclusion, relatedness, motivation and behaviour change in people; from a technology perspective the aim may be designing the interactivity by integrating self-learning, self-adaptation, sensor networks, semi-autonomous multi-agent systems, intelligent user interfaces, etc. that are instrumental for reaching the societal aims and meeting the individual's preferences and needs.

Course Details

• Type: Course, second cycle
• Study pace: Half speed
• Study location: Umeå
• Type of studies: On campus
• Number of credits: 7.5 credits
• Teaching hours: Daytime
• Language: English
• Application code: UMU-57203

Eligibility and Selection

• Eligibility: At least 90 ECTS, including 60 ECTS Computing Science, or 120 ECTS within a study programme. At least 15 ECTS programming; 7.5 ECTS human-computer interaction; and 7.5 ECTS artificial intelligence. Proficiency in English equivalent to the level required for basic eligibility for higher studies.
• Selection: Academic credits

Application and Tuition Fees

• Application fee: SEK 900
• Tuition fee, first instalment: SEK 19,038
• Total fee: SEK 19,038

Course Schedule

• Starts: 3 November 2025
• Ends: 18 January 2026

Provided by

The course is given by the Computing Science department.