Tübingen, Germany. 8th October 2018. An interdisciplinary team of scientists from the Max Planck Institute for Biological Cybernetics, the University of Tübingen and the Max Planck Institute for Intelligent Systems place test persons in front of their virtual selves and examine their self-perception. The aim of the studies is to investigate how accurately healthy women and men, incl. patients with anorexia nervosa, perceive their own body weight. The findings provide insights for new therapy approaches for people with eating disorders.
In a joint research project, scientists from the Max Planck Institute for Biological Cybernetics, the University of Tübingen and the Max Planck Institute for Intelligent Systems investigated how men and women perceive their body weight. Participants spanning all body weight categories were tested – from underweight and patients with anorexia nervosa, to overweight and obesity. Most of the participants suffering from anorexia nervosa were in treatment because of their eating disorder at the time of the experiment.
Researchers Anne Thaler and Simone Mölbert et al. placed more than 100 volunteers in a body scanner and created a virtual avatar that could realistically be adjusted thinner and fatter. To test how people perceive their bodies, the researchers used virtual reality (VR) technology and presented each participant with their life-size virtual self on a screen. While the participants were facing their replica, they were given a joypad (similar to the controller of a Playstation) and were asked to adjust the avatar’s body weight until it matched their own actual weight. The aim was to investigate how participants perceive themselves: Do women and men perceive their bodies accurately? This question is particularly important for the therapy of eating disorders, that are so far characterized by an “over-evaluation” of own body appearance.
Thaler and Mölbert et al. found that healthy males and females in the normal weight range on average either accurately estimated or slightly underestimated their body weight. Underweight females underestimated their body weight, whereas overweight and obese females overestimated their body weight. In other words, people seem to perceive their body weight category accurately, but readily accepted all mirror images as correct that met or even exaggerated their weight category. What was most surprising: Patients with anorexia nervosa (with a body mass index between 12.7 and 18) were as accurate as healthy women in estimating their own weight.
So far, many previous studies suggest that anorexic women suffer from a distorted visual self-perception and perceive themselves as too fat, although they are generally severely underweight. "We have not found any evidence of this," says Katrin Giel, Head of the Research Group Psychobiology of Eating Behavior at the Department of Psychosomatic Medicine and Psychotherapy from the University of Tübingen. "It was rather the case that slimmer women and patients with anorexia nervosa slightly underestimated their virtual body weight. However, the deviations from normal weight test subjects were very small.”
The researchers also investigated which body weight participants considered desirable. Here, the results differed between men, healthy women, and patients with anorexia nervosa: Males of normal weight chose a desired body weight that was similar to their actual body weight. This however does not mean they are satisfied with their bodies, but rather that other factors such as muscularity or height might be more relevant to them than weight alone. In contrast, females of normal weight desired a slightly more slender healthy weight. However – and this is crucial – women with anorexia nervosa considered severely underweight bodies as ideal.
The researchers therefore concluded that women with anorexia nervosa have a different opinion than women with normal weight about what an "attractive" body looks like: for example, they perceive a weight of 43 kg at a height of 1.60 m as beautiful. A woman in the healthy weight range would tend to disagree; this weight would be far too low for her.
Researcher Simone Mölbert who worked closely with eating-disorder patients treated at the University Hospital in Tübingen during her interdisciplinary PhD project, explains: “We found that women with anorexia nervosa are well aware of their appearance. We did not find any difference to healthy women in how well they can identify their weight. What we did find, was a very clear general preference for severely underweight bodies in the patient population.” The fact that women with anorexia nervosa have a different opinion about what weight is desirable, and not a distorted visual self-perception, should thus come to the fore in future therapies for people suffering from eating disorders, the researchers hope.
The use of virtual reality in research on body size perception has only started to be more prevalent in recent years. To test how people perceive their own body dimensions, previous methods have often taken pictures of the participants and manipulated the pictures by stretching or compressing them in an attempt to simulate body weight variations. Participants were then asked to select the image that they think shows their real body weight. This approach is problematic as it results in unrealistic body deformations that do not reflect real-life weight changes and the task could therefore be solved by identifying stretched or compressed images without necessarily assessing the perception of one’s own body.
The new approach uses state-of-the-art computer vision techniques that allow to create 3D virtual bodies that are either based on a body scan of a participant and thus look exactly like the person, or are based on the average body of a few thousand body scans, in combination with statistically probably variations of the bodies in terms of weight. Anne Thaler explains: “To test how people perceive their bodies, we used virtual reality technology because it allows us to create scenarios that mimic real-life situations, such as standing in front of a body or seeing one’s own body in a mirror in life-size.” This approach is much closer to real-life than previous studies that had people estimate their body sizes e.g. by verbally instructing the experimenter to adjust a measure tape.
This multi-disciplinary research project is a shining example of how excellent scientists in Computer Science, Philosophy, Clinical and Cognitive Psychology combined their efforts for making a significant impact on fundamental and clinical research, by using advancements in technology for the greater good. The Werner Reichardt Center for Integrative Neuroscience (CIN) at the University of Tübingen supported the collaboration projects between the Department of Psychosomatic Medicine and Psychotherapy at the University Hospital of Tübingen, the Minerva Group Space and Body Perception at the Max Planck Institute for Biological Cybernetics, the CIN Research Group “Philosophy of Neuroscience” and the Department of Perceiving Systems at the Max Planck Institute for Intelligent Systems.
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Left: Screenshot of the virtual scene viewed by the participant; Middle: participant views personalized avatar on large-screen immersive stereo display, mimicking a scenario as if standing in front of a full-length mirror (right).
Copyright: Anne Thaler @ Max Planck Institute for Biological Cybernetics
About our Scientists:
Simone Mölbert is working at the Medical University Hospital Tübingen, in the Department of Psychosomatic Medicine and Psychotherapy. In her interdisciplinary PhD project, she uses virtual reality and biometric avatars to investigate body perception in different patient populations. Specifically, she works with patients suffering from anorexia nervosa. She works closely with the Max Planck Institute for Biological Cybernetics and the Max Planck Institute for Intelligent Systems.
An Interview with Simone Mölbert about the study.
Anne Thaler is a PhD student at the Max Planck Institute for Biological Cybernetics and affiliated with the Max Planck Institute for Intelligent Systems. In her PhD project, she looks at the role of different visual and non-visual factors in body perception in healthy people, e.g. the influence of body identity (self vs others) and perspective on the body (1st vs 3rd person) on estimates of body dimensions. For her research, she uses biometric avatars and state-of-the art virtual reality.
Dr. Michael Black received his B.Sc. from the University of British Columbia (1985), his M.S. from Stanford (1989), and his PhD from Yale University (1992). After post-doctoral research at the University of Toronto, he worked at Xerox PARC as a member of research staff and area manager. From 2000 to 2010 he was on the faculty of Brown University in the Department of Computer Science (Assoc. Prof. 2000-2004, Prof. 2004-2010). He is one of the founding directors at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where he leads the Perceiving Systems department and serves as Managing Director. He is also a Distinguished Amazon Scholar, an honorary Professor at the University of Tübingen, and Adjunct Professor at Brown University, Rhode Island. His work has won several awards including the IEEE Computer Society Outstanding Paper Award (1991), Honorable Mention for the Marr Prize (1999 and 2005), the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision, and the 2013 Helmholtz Prize for work that has stood the test of time. He is a foreign member of the Royal Swedish Academy of Sciences. In 2013 he co-founded Body Labs Inc., which was acquired by Amazon in 2017.
Prof. Dr. Katrin Giel is the Head of the Research Group Psychobiology of Eating Behavior at the Department of Psychosomatic Medicine and Psychotherapy from the University of Tübingen. Her group is interested in psychobiological mechanisms in the regulation of eating behavior, especially the framework of impulsivity, including concepts such as reward sensitivity, inhibitory control and emotion regulation. They are studying these mechanisms across the whole spectrum of body weight, especially in extreme weight conditions such as underweight, as it is seen in the eating disorder anorexia nervosa, and overweight/obesity. They are aiming at a translation research approach by using results from experimental studies as a basis for the development of novel and innovative treatment/training approaches for eating and weight disorders. A second focus of their work is on body image, also especially in extreme weight conditions, and how this can be assessed with novel techniques, e.g. using virtual reality applications.
Papers motivating this press release:
Mölbert SC, Thaler A, Mohler BJ, Streuber S, Romero J, Black MJ, Zipfel S, Karnath H-O and Giel KE (March-2018) Assessing body image in anorexia nervosa using biometric self-avatars in virtual reality: Attitudinal components rather than visual body size estimation are distorted Psychological Medicine 48(4) 642-653.
Mölbert SC, Thaler A, Streuber S, Black MJ, Karnath H-O, Zipfel S, Mohler B and Giel KE (November-2017) Investigating Body Image Disturbance in Anorexia Nervosa Using Novel Biometric Figure Rating Scales: A Pilot Study European Eating Disorders Review 25(6) 607–612.
Thaler A, Geuss MN, Mölbert SC, Giel KE, Streuber S, Romero J, Black MJ and Mohler BJ (February-2018) Body size estimation of self and others in females varying in BMI PLoS ONE 13(2) 1-24.
Thaler A, Piryankova I, Stefanucci JK, Pujades S, de la Rosa S, Streuber S, Romero J, Black MJ and Mohler BJ (July-2018) Visual Perception and Evaluation of Photo-Realistic Self-Avatars from 3D Body Scans in Males and Females Frontiers in ICT: Virtual Environments .
About our institutes:
The Max Planck Institute for Biological Cybernetics is studying signal and information processing in the brain. The scientists aim to determine which signals and processes are responsible for creating a coherent percept of our environment and for eliciting the appropriate behavior. Scientists of three departments and seven research groups are working towards answering fundamental questions about processing in the brain, using different approaches and methods.
The Max Planck Institute for Biological Cybernetics is one of 84 Max Planck Institutes and facilities that make up the Max Planck Society, Germany's most successful research organization. Since its establishment in 1948, no fewer than 18 Nobel laureates have emerged from the ranks of its scientists, putting it on a par with the best and most prestigious research institutions worldwide. All Institutes conduct basic research in the service of the general public in the natural sciences, life sciences, social sciences, and the humanities.
The Max Planck Institute for Intelligent Systems has campuses in Stuttgart and Tübingen. The institute combines theory, software, and hardware expertise in the research field of intelligent systems. The Tübingen campus focuses on how intelligent systems process information to perceive, act and learn through research in the areas of machine learning, computer vision, and human-scale robotics. The Stuttgart campus has world-leading expertise in micro- and nano-robotic systems, haptic perception, human-robot interaction, bio-hybrid systems, and medical robotics.