Intelligent Virtual Agents and Social Robots, 6 credits

Intelligenta virtuella agenter och sociala robotar, 6 hp


Main field of study

Cognitive Science

Course level

Second cycle

Course type

Programme course


Annika Silvervarg

Course coordinator

Annika Silvervarg

Director of studies or equivalent

Jalal Maleki
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Timetable module Language Campus ECV
F7MKT Master Programme in Cognitive Science 3 (Autumn 2023) 202335-202402 1+4 Swedish Linköping, Valla E

Main field of study

Cognitive Science

Course level

Second cycle

Advancement level


Course offered for

  • Master Programme in Cognitive Science

Entry requirements

  • Bachelor’s Degree in Cognitive Science equivalent to a Swedish Kandidatexamen


  • Bachelor’s Degree in Computer Science equivalent to a Swedish Kandidatexamen
  • 6 ECTS credits passed in Programming
  • 30 ECTS credits passed in Psychology with at least 6 ECTS credits in Cognitive Psychology or Cognitive Neuroscience and at least 6 ECTS credits in Research methods


  • Bachelor’s Degree in Psychology or in Cognitive Psychology equivalent to a Swedish Kandidatexamen
  • 6 ECTS credits passed in Research methods
  • 30 ECTS credits passed in Computer Science with at least 6 ECTS credits in Programming


  • English and Swedish corresponding to the level of English and Swedish in Swedish upper secondary education (Engelska 6 and Svenska 3)

Intended learning outcomes

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 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 carry out a development and evaluation project with intelligent virtual agents or social robots

Course content

The course covers theories, methods and technology in the research front of the area. As well as, practical knowledge of implementation and/or evaluation of agent- and robot-based interactive systems with a focus on human-system interaction.

  • Natural language interaction and multimodal interaction
  • Visual appearance and personality
  • Emotions and sociality
  • Etichs, norms and cultural aspects
  • Methods for development and evaluation
  • Areas of applications, such as, learning, training, health, entertainment, autism, autonomous vehicles

Teaching and working methods

The course consist of lectures, seminars, and supervision. In addition to this, the student must practice self-study.


The course is examined through:

  • active participation in seminars, grading scale: UG
  • individual written report and oral presentation of project work, grading scale: UV

For the final grade Pass, the grade Pass is required for all modules. For the final grade Pass with Distinction, the grade Pass with Distinction is also required for the project work.

Detailed information about the examination can be found in the study instructions.

If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it.

If the coordinator has recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.

An examiner may also decide that an adapted examination or alternative form of examination if the examiner assessed that special circumstances prevail, and the examiner assesses that it is possible while maintaining the objectives of the course.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.


Three-grade scale, U, G, VG

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.


Institutionen för datavetenskap
Code Name Scope Grading scale
OBL1 Mandatory Seminars 3 credits U, G
PRO1 Project Work 3 credits U, G, VG



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