Author(s): Velt, Eva (2017)
Abstract:
Robots have a wide variation of possible applications, for example: health care, assisting, military, space and education. Designing robotics in such a way that they do not negatively influence robot users, is an important factor. When humans interact with each other they mostly focus on facial language, it is key in understanding one another. These same principles apply when humans communicate with a robot that has a face, therefore the main research focuses on robot faces. In this graduation project an amount of 102 robots is collected in a database and analyzed. By using data visualization, design guidelines will be suggested with the goal to contribute in making future robots more understandable and accepted by the user. The method will be tested with the help of an actual robot project (R3D3) as a practice example.
Document(s):
Velt_BA_EEMCS.pdf