Analyzing Eye Tracking Data in Mirror Exposure
Authors: 
Nina Döllinger, Christopher Göttfert, Erik Wolf, David Mal, 
Marc Erich Latoschik, Carolin WienrichAuthors Info & Claims
Pages 513 - 517
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.
References
[1]
Rike Arkenau, Anika Bauer, Silvia Schneider, and Silja Vocks. 2022. Gender differences in state body satisfaction, affect, and body-related attention patterns towards one’s own and a peer’s body: an Eye-Tracking Study with Women and Men. Cognitive Therapy and Research 46, 4 (2022), 1–12. https://doi.org/10.1007/s10608-022-10300-5
[2]
Anika Bauer, Silvia Schneider, Manuel Waldorf, Karsten Braks, Thomas J Huber, Dirk Adolph, and Silja Vocks. 2017. Selective visual attention towards oneself and associated state body satisfaction: an eye-tracking study in adolescents with different types of eating disorders. Journal of abnormal child psychology 45, 8 (2017), 1647–1661. https://doi.org/10.1007/s10802-017-0263-z
[3]
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh. 2017. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1302–1310. https://doi.org/10.1109/CVPR.2017.143
[4]
DIN CEN ISO/TR 7250-2:2013-08 2013. Basic human body measurements for technological design - Part 2: Statistical summaries of body measurements from national populations (ISO/TR 7250-2:2010 + Amd 1:2013); German version CEN ISO/TR 7250-2:2011 + A1:2013. Standard. https://doi.org/10.31030/1935074
[5]
DIN EN ISO 7250-1:2017-12 2017. Basic human body measurements for technological design - Part 1: Body measurement definitions and landmarks (ISO 7250-1:2017); German version EN ISO 7250-1:2017. Standard. https://doi.org/10.31030/2778667
[6]
Nina Döllinger, Erik Wolf, David Mal, Stephan Wenninger, Mario Botsch, Marc Erich Latoschik, and Carolin Wienrich. 2022. Resize me! Exploring the user experience of embodied realistic modulatable avatars for body image intervention in virtual reality. arXiv (2022), 1–36. https://doi.org/10.48550/arXiv.2203.05060
[7]
Trevor C Griffen, Eva Naumann, and Tom Hildebrandt. 2018. Mirror exposure therapy for body image disturbances and eating disorders: A review. Clinical Psychology Review 65 (2018), 163–174. https://doi.org/10.1016/j.cpr.2018.08.006
[8]
Moritz Kassner, William Patera, and Andreas Bulling. 2014. Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction. In Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Seattle, Washington) (UbiComp ’14 Adjunct). ACM, New York, NY, USA, 1151–1160. https://doi.org/10.1145/2638728.2641695
[9]
Eva Naumann, Stefanie Biehl, and Jennifer Svaldi. 2019. Eye-tracking study on the effects of happiness and sadness on body dissatisfaction and selective visual attention during mirror exposure in bulimia nervosa. International Journal of Eating Disorders 52, 8 (2019), 895–903. https://doi.org/10.1002/eat.23127
[10]
Bruno Porras-Garcia, Marta Ferrer-Garcia, Lena Yilmaz, Yigit O Sen, Agata Olszewska, Alexandra Ghita, Eduardo Serrano-Troncoso, Janet Treasure, and José Gutiérrez-Maldonado. 2020. Body-related attentional bias as mediator of the relationship between body mass index and body dissatisfaction. European Eating Disorders Review 28, 4 (2020), 454–464.
[11]
Bruno Porras-Garcia, Alexandra Ghiţă, Manuel Moreno, Marta Ferrer García Ferrer, Paola Bertomeu Panisello, Eduardo Serrano Troncoso, Giuseppe Riva, Antonios Dakanalis, Jose Achotegui-Loizate, Antoni Talarn-Caparros, 2018. Gender differences in attentional bias after owning a virtual avatar with increased weight. Annual Review of CyberTherapy and Telemedicine, 2018 16 (2018), 73–79.
[12]
Cristina González Sánchez, Sandra Díaz Ferrer, José Alejandro Aristizabal Cuellar, José Luis Mata Martín, and Sonia Rodríguez Ruiz. 2022. I Look at my whole body and i feel better: attentional bias, emotional and psychophysiological response by pure exposure treatment in women with obesity. Psychotherapy Research 0, 0 (2022), 1–15. https://doi.org/10.1080/10503307.2021.2021310
[13]
Anne Thaler. 2019. The Role of Visual Cues in Body Size Estimation. Vol. 56. Logos Verlag Berlin GmbH, Berlin.
[14]
Anne Thaler, Ivelina V Piryankova, Jeanine K Stefanucci, Sergi Pujades, Stephan de la Rosa, Stephan Streuber, Javier Romero, Michael J Black, and Betty J Mohler. 2018. Visual Perception and Evaluation of Photo-Realistic Self-Avatars From 3D Body Scans in Males and Females. Frontiers in ICT 5(2018), 18. https://doi.org/10.3389/fict.2018.00018
[15]
Brunna Tuschen-Caffier, Caroline Bender, Detlef Caffier, Katharina Klenner, Karsten Braks, and Jennifer Svaldi. 2015. Selective visual attention during mirror exposure in anorexia and bulimia nervosa. PLOS one 10, 12 (2015), e0145886. https://doi.org/10.1371/journal.pone.0145886
[16]
Erik Wolf, Marie Luisa Fiedler, Nina Döllinger, Carolin Wienrich, and Marc Erich Latoschik. 2022. Exploring Presence, Avatar Embodiment, and Body Perception with a Holographic Augmented Reality Mirror. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 350–359. https://doi.org/10.1109/VR51125.2022.00054
[17]
Erik Wolf, Ronja Heinrich, Annabell Michalek, David Schraudt, Anna Hohm, Rebecca Hein, Tobias Grundgeiger, and Oliver Happel. 2019. Rapid Preparation of Eye Tracking Data For Debriefing In Medical Training: A Feasibility Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting1(2019), 733–737. https://doi.org/10.1177/1071181319631032
[18]
Erik Wolf, Nathalie Merdan, Nina Döllinger, David Mal, Carolin Wienrich, Mario Botsch, and Marc Erich Latoschik. 2021. The Embodiment of Photorealistic Avatars Influences Female Body Weight Perception in Virtual Reality. In 2021 IEEE Virtual Reality and 3D User Interfaces (VR). 65–74. https://doi.org/10.1109/VR50410.2021.00027
[19]
World Health Organization. 2019. International statistical classification of diseases and related health problems (11th ed.). World Health Organization. https://icd.who.int/
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Published In
September 2022
624 pages
ISBN:9781450396905
DOI:10.1145/3543758
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Published: 15 September 2022
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