769A32 · 6 credits · Advanced level (A1N) · Kognitionsvetenskap
Intelligent Virtual Agents and Social Robots
Active · next start HT 2026
100%
passed the latest regular sitting
OBL1 · 2 Jan 2026 · 6 students
100%
passed the regular sittings, all sittings over the last 5 years
OBL1 · 11 students
This module only reports passing results, so the pass rate does not show how many did not pass.
Part of 1 programme
Other module
OBL1 Mandatory Seminars
- G
Main rounds
100% passed · 11 students
- 100%6
- 100%5
Later rounds
No sittings with at least 5 students.
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%4
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG1 Individual oral and written assignments
- VG
Main rounds
100% passed · 6 students
- 100%6
Later rounds
No sittings with at least 5 students.
- Get VG: 100% (6 students)
Hand-in or lab
PRO1 Project Work
- VG
- G
No sittings with at least 5 students.
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%4
- 100%1
- 100%2
About the course
Aim
After completion of the course, the student should at an advanced level be able to:
- account for and critically examine current research questions, results, and theories concerning intelligent virtual agents and social robots
- discuss limitations and opportunities in methods and the technologies used for the development and implementation of intelligent virtual agents and social robots
- critically reflect on how the development and use of such technologies affect human interaction with intelligent virtual agents and social robots
- independently design a development- or evaluation project with intelligent virtual agents or social robots
Content
The course covers theories, methods, and technology in the research front of the area. It aims to provide an understanding of current theoretical issues as well as practical knowledge of implementation and/or evaluation of agent- or robot-based interactive systems with focus on the interaction between humans and such systems.
The course covers the following theoretical areas:
- Interaction by means of natural language and non-verbal language
- Embodiment
- Visual appearance including gender, ethnicity, anthropomorphism
- Methods for development and evaluation
- Application areas, for example learning, training, health, entertainment
- Examiner
- Annika Silvervarg
- Main field of study
- Kognitionsvetenskap