- External thesis in cooperation with GESIS Köln
- Targeted audience
- AI Bachelor
- Experience in graphical design, digital libraries, user-sessions is recommended.
- Integration of data from mouse tracking and eyetracking
- Development of an interactive visual presentation of the new data at the WHOSE-Tool
Language of this work: German or english
This thesis can also be processed as bachelor thesis. The volume will be adjusted to the conditions.
Contact: Dr. Daniel Hienert
GESIS Leibniz-Institut für Sozialwissenschaften
Abteilung Wissenstechnologien für Sozialwissenschaften (WTS)
Unter Sachsenhausen 6-8, 50667 Köln
Tel: + 49 (0) 221 / 47694-525
More information: http://www.gesis.org/forschung/angewandte-informatik-und-informationswissenschaft/information-retrieval/abschlussarbeiten
 Hienert, Daniel, Wilko van Hoek, Alina Weber, and Dagmar Kern. 2015. "WHOSE - A Tool for Whole-Session Analysis in IIR." In Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings, Lecture Notes in Computer Science 9022, 172-183. http://www.dx.doi.org/10.1007/978-3-319-16354-3_18.