Affect expression in social robots

Combining non-verbal affect expression techniques

Master Thesis (2019)
Author(s)

P. Prajod (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

K. Hindriks – Mentor (TU Delft - Interactive Intelligence)

ML Tielman – Graduation committee member (TU Delft - Interactive Intelligence)

N. Tintarev – Graduation committee member (TU Delft - Web Information Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Pooja Prajod
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 Pooja Prajod
Graduation Date
28-08-2019
Awarding Institution
Delft University of Technology
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

With the advent of social robots which are designed to be 'social', human-like interactions have become a necessity. It is natural for us to use a plethora of emotions to convey additional information or to make an interaction more engaging. But emotion expression is not commonly associated with robots. Many humanoid robots cannot generate facial expressions to portray various emotions. Studies have shown that robots are multi-modal systems which can employ multiple channels to express an emotion. This thesis explores the non-verbal emotion expression techniques and their expressive capabilities. We found that some emotions are easier to express than others, and a single technique cannot express all the emotions. We chose a few emotions and systematically determined the best technique for each of them.

Files

PoojaThesis.pdf
(pdf | 5.33 Mb)
License info not available