Analyzing Eye Tracking Data in Mirror Exposure

Döllinger, Nina; Göttfert, Christopher; Wolf, Erik; Mal, David; Latoschik, Marc Erich; Wienrich, Carolin

Author:

Döllinger, Nina [DBLP] ;

Göttfert, Christopher [DBLP] ;

Wolf, Erik [DBLP] ;

Mal, David [DBLP] ;

Latoschik, Marc Erich [DBLP] ;

Wienrich, Carolin [DBLP]

Abstract

Mirror exposure is an important method in the treatment of body image disturbances. Eye tracking can support the unaffected assessment of attention biases during mirror exposure. However, the analysis of eye tracking data in mirror exposure comes with various difficulties and is associated with a high manual workload during data processing. We present an automated data processing framework that enables us to determine any body part as an area of interest without placing markers on the bodies of participants. A short, formative user study proved the quality compared to the gold standard. The automatic processing and openness for different systems allow a broad range of applications.

Citation
BibTeX

Döllinger, N., Göttfert, C., Wolf, E., Mal, D., Latoschik, M. E. & Wienrich, C., (2022). Analyzing Eye Tracking Data in Mirror Exposure. In: Mühlhäuser, M., Reuter, C., Pfleging, B., Kosch, T., Matviienko, A., Gerling, K. S., Heuten, W., Döring, T., Müller, F. & Schmitz, M. (Hrsg.), Mensch und Computer 2022 - Tagungsband. New York: ACM. (S. 505-509). DOI: 10.1145/3543758.3547567

@inproceedings{mci/Döllinger2022,
author = {Döllinger, Nina AND Göttfert, Christopher AND Wolf, Erik AND Mal, David AND Latoschik, Marc Erich AND Wienrich, Carolin},
title = {Analyzing Eye Tracking Data in Mirror Exposure},
booktitle = {Mensch und Computer 2022 - Tagungsband},
year = {2022},
editor = {Mühlhäuser, Max AND Reuter, Christian AND Pfleging, Bastian AND Kosch, Thomas AND Matviienko, Andrii AND Gerling, Kathrin|Mayer, Sven AND Heuten, Wilko AND Döring, Tanja AND Müller, Florian AND Schmitz, Martin} ,
pages = { 505-509 } ,
doi = { 10.1145/3543758.3547567 },
publisher = {ACM},
address = {New York}
}

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