DocumentCode
2021562
Title
Design and emotional expressiveness of Gertie (An open hardware robotic desk lamp)
Author
Gerlinghaus, Fabian ; Pierce, Brennand ; Metzler, Torsten ; Jowers, Iestyn ; Shea, Kristina ; Cheng, Gordon
Author_Institution
Tech. Univ. Munich, Munich, Germany
fYear
2012
fDate
9-13 Sept. 2012
Firstpage
1129
Lastpage
1134
Abstract
This paper introduces Gertie the Robotic Desk Lamp, a novel research platform that has five degrees of freedom, and is equipped with a camera and microphone in its lamp shade. These features mean that Gertie is a flexible and low-cost resource for conducting research into cognitive products and human-robot interaction. It will be available as an open hardware on http://www.opengertie.org/. Gertie was designed from first principles, and assembled using off the shelf electronic components and parts fabricated using a 3D printer. In this paper, the design of Gertie is presented, and its application as a research platform is described. Gertie has already been used to investigate a problem of simple object tracking, building on computer vision algorithms. Furthermore, it has also been used to investigate and replicate emotional body language. By imitating human body language Gertie is capable of expressing four of the basic Ekman emotions: 1) joy; 2) sadness; 3) surprise; and 4) fear. This work was validated using an online study, which investigates how well the emotions expressed by Gertie are recognized by human audiences. In total 84 participants were shown one video for each of the four emotions and they were asked to choose from a list of seven emotions, which they thought was displayed by Gertie. While joy and sadness were recognized very reliably with 81% and 88% of all people giving the correct answer, fear and surprise were more commonly misinterpreted as surprise and disgust. However, all emotions were recognized above the chance level percentage of 14%.
Keywords
human-robot interaction; image sensors; microphones; object tracking; robot vision; Ekman emotions; Gertie; camera; cognitive products; computer vision algorithms; electronic components; emotional body language; emotional expressiveness; human audiences; human-robot interaction; lamp shade; microphone; object tracking; open hardware robotic desk lamp; Animation; Emotion recognition; Gravity; Humans; Joints; Robots; Springs;
fLanguage
English
Publisher
ieee
Conference_Titel
RO-MAN, 2012 IEEE
Conference_Location
Paris
ISSN
1944-9445
Print_ISBN
978-1-4673-4604-7
Electronic_ISBN
1944-9445
Type
conf
DOI
10.1109/ROMAN.2012.6343900
Filename
6343900
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