RT Journal Article T1 Perceived match between own and observed models' bodies: influence of face, viewpoints, and body size A1 Coster, Lize de A1 Sánchez Herrero, Pablo A1 Aliaga, Carlos A1 Otaduy, Miguel A. A1 Moreno López, Jorge A1 Tajadura Jiménez, Ana AB People are generally unable to accurately determine their own body measurements and to translate this knowledge to identifying a model/avatar that best represents their own body. This inability has not only been related to health problems (e.g. anorexia nervosa), but has important practical implications as well (e.g. online retail). Here we aimed to investigate the influence of three basic visual features—face presence, amount of viewpoints, and observed model size—on the perceived match between own and observed models' bodies and on attitudes towards these models. Models were real-life models (Experiment 1) or avatar models based on participants' own bodies (Experiment 2). Results in both experiments showed a strong effect of model size, irrespective of participants' own body measurements. When models were randomly presented one by one, participants gave significantly higher ratings to smaller- compared to bigger-sized models. The reverse was true, however, when participants observed and compared models freely, suggesting that the mode of presentation affected participants' judgments. Limited evidence was found for an effect of facial presence or amount of viewpoints. These results add evidence to research on visual features affecting the ability to match observed bodies with own body image, which has biological, clinical, and practical implications. PB Springer Nature SN 2045-2322 YR 2020 FD 2020-08-19 LK https://hdl.handle.net/10016/32569 UL https://hdl.handle.net/10016/32569 LA eng NO Published 08 October 2020: De Coster, L., Sánchez-Herrero, P., Aliaga, C. et al. Author Correction: Perceived match between own and observed models’ bodies: influence of face, viewpoints, and body size. Sci Rep 10, 17120 (2020) NO ATJ and LDC were supported by Ministerio de Economía, Industria y Competitividad of Spain Ramón y Cajal Grant RYC-2014-15421. LDC was also supported by Ministerio de Ciencia, Innovación y Universidades Juan de la Cierva-Incorporación Grant IJC2018-038347-I. DS e-Archivo RD 27 jul. 2024