PhD Theses

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bram_van_de_laar-27157

Experiencing Brain-Computer Interface Control

Author: Bram van de Laar Graduation Date: October 12, 2016

Brain-Computer Interfaces (BCIs) are systems that extract information from the user’s brain activity and employ it in some way in an interactive system. While historically BCIs were mainly catered towards paralyzed or otherwise physically handicapped users, the last couple of years applications with a focus on entertainment meant for healthy users gained a lot of momentum in research. While from a disabled user’s perspective functionality and accuracy have been key to get a working system, especially for healthy users the user’s experience (UX) can be considered even more important. A vast amount of effort has been put into increasing the accuracy of various types of BCIs, less research has been done on the impact this accuracy has on the UX. This thesis is structured in the following way: I Introduction, II Studies and III conclusion.More information: ... read more

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andrea_minuto-27204

Materials that matter: Smart materials meet art & interaction design

Author: Andrea Minuto Graduation Date: October 7, 2016

Summary Dear reader,
 “[...] Although the tangible representation allows the physical embodiment to be directly coupled to digital information, it has limited ability to represent change in many material or physical properties. Unlike malleable pixels on the computer screen, it is very hard to change a physical object in its form, position, or properties (e.More information: ... read more

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daphne_karreman-27203

Beyond R2D2 - The design of nonverbal interaction behavior optimized for robot-specific morphologies

Author: Daphne Karreman Graduation Date: September 14, 2016

It is likely that in the near future we will meet more and more robots that will perform tasks in social environments, such as shopping malls, airports or museums. However, design guidelines that inform the design of effective nonverbal behavior for robots are scarce. This is surprising since the behavior of robots in social environments can greatly affect the interaction between people and robots. Previous work has shown that people have the tendency to project motivations, intentions and emotions on non-living objects, such as robots, when these objects start to move. Moreover, it has been shown that people tend to react socially to computers, televisions and new media.More information: ... read more