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Kies de Nederlandse taal
Course module: 201600080
201600080
Advanced Research Projects in Affective Computing
Course info
Course module201600080
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact persondr. K.P. Truong
E-mailk.p.truong@utwente.nl
Lecturer(s)
Examiner
dr. K.P. Truong
Lecturer
dr. K.P. Truong
Contactperson for the course
dr. K.P. Truong
Academic year2021
Starting block
1A
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
After completing the course the student is able to design, implement and evaluate a solution to a specific problem taken from a research project in the field of Affective Computing, to present discuss and defend the ideas, progress and challenges of the research project and to present the results of the research in the form of a project report and scientific paper.
 

 
Content
In this course, students participate actively in research done at the University of Twente. Students will work individually or in small project groups of 2-4 students on a realistic case (taken from an actual research project) in the field of Affective Computing (AC). They will have to investigate, design, implement and evaluate a solution to a specific challenge in AC. The course has no final exam: the grade will be based on quality of the work (research, solution design, implementation, evaluation and presentation) as determined through progress presentations, final demonstration and the report of the project.
 
The project can involve automatic emotion recognition from different modalities (face, gestures, posture, physiology, voice etc.), or computational models of emotions to be used for instance in affective dialogue systems or in interaction with virtual and ambient environments that are designed to elicit emotions.
 
Technology and research play an important role in this course as students are expected to carry out research into a challenge that helps improve technology that can recognize and/or display affect. Knowledge about how humans express and perceive emotions is needed to achieve this.
 
The course consists of:
  • Technology 35%: Students have to implement and evaluate a solution to a specific problem in Affective Computing.
  • Research 35%: Students will participate in current research carried out at the UT, and will follow scientific research practices to come to a proposed solution for a specific challenge related to Affective Computing.
  • Understanding Humans & Contexts 15%: How humans express and perceive emotions in different contexts can be important for developing technology in Affective Computing.
  • Storytelling 10%: Students have to present their work and write a report of their project.
  • Design 5%: Students have to come up and design a solution for a specific challenge related to Affective Computing.
  • Entrepeneurship 0%
Assumed previous knowledge
Affective Computing (201600073)
Previous knowledge can be gained by
Calvo, R. A., D'Mello, S., Gratch, J., & Kappas, A. (Eds.). (2015). The Oxford handbook of affective computing. Oxford Library of Psychology.
Resources for self study
Transactions on Affective Computing Journal.
Petta, P., Pelachaud, C., & Cowie, R. (Eds.). (2011). Emotion-oriented systems: the HUMAINE handbook. Springer Science & Business Media.
Participating study
Master Interaction Technology
Required materials
-
Recommended materials
Course material
Scientific papers
Instructional modes
Project supervised
Presence dutyYes

Tests
Assignments

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Kies de Nederlandse taal