J!NS MEME
J!NS MEME (by the Japanese eyewear manufactur JINS) are smart glasses equipped with acceleration, tilt and electro-ocular sensors. The electro-ocular measurement oft he eye movement through several small electrodes around the nose allows conclusions to be drawn about reading behaviour, attention and effort.
Microsoft Hololens
Several „Microsoft Hololens“ augmented reality glasses with which experiments can be carried out are located in the laboratory.
Infrared Cameras
With the help of small infrared cameras the temperature of the face and especially the temperature of the nose can be measured in order to draw conclusions on the cognitive load by the change of these temperatures.
Chair Pressure Sensors
The workstations in iQL are equipped with pressure sensors on the chairs. The pressure distribution of the seated person can be used to determine the current sitting position and it’s sitting behaviour in order, for example, to detect restlessness and suggest breaks.
Tobii Eyetracker
iQL is equipped with Tobii consumer eyetrackers at every workstation. Serveral Tobii Pro eyetrackers are available for high-precision experiments.
E4 Wristband
Empatica’s E4 wristband is equipped with sensors that measure hand movement, hearbeat and electro-dermal activity. The electro-dermal activity, the change in the conductivity of the skin, e.g. during sweating, allows knowledge about the exertion and stress of the test subject.
Wacom One Tablets
iQL is supplied by Wacom with multiple Wacom One-Tablets. By using the data created through handwriting recogntion with the pen, it is possible to draw conclusions about the level of knowledge of the user.
Ricoh Interactive Whiteboards
Das iQL ist mit zwei Ricoh Interactive Whiteboards D8400 ausgestattet. Diese ermöglichen gemeinsames Arbeiten und die Präsentation von Ergebnissen für alle Teilnehmer im Raum. Mit Hilfe der pxio-Technologie können auf den Whiteboards außerdem die Bildschirme alle Teilnehmer gleichzeitig angezeigt und besprochen werden. Dadurch ist es möglich den korrekten Studienablauf auf allen Geräten gleichzeitig zu überprüfen.
Contact
Dr. Nicolas Großmann
Phone: +49 631 20575 5304
nicolas.grossmann@dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Research Department Smart Data & Knowledge Services
Trippstadter Str. 122
67663 Kaiserslautern
Germany