Abstract
This paper explores the idea of the human body as an interface between self- and outside perception as well as verbal and nonverbal communication. Based on this perspective, the visual appearance can be viewed as a display of personality which indicates certain traits or even hidden potentials to a significant point. It allows the individual as well as other individuals to develop a deeper understanding, acceptance, and even tolerance for each other, if those individual traits and potentials are recognized. The concept behind this is an integrated approach, FaceForward, which is based on an analog face reading system. It is combined with as well as supported by the possibilities of AI within an interactive prototype. It intertwines the historical, but still applied integrated knowledge of human nature by face/body reading with a combination of algorithms and AI-based learning. The main goal is to analyze face and body based on their expression, structures, and, most of all, geometric shapes. Portraits of individuals are selected and pass through two different pipelines. One operates as a pre-processing module. The other for training the AI based on the principles of the face reading system. In the end, the results achieved with the AI approach shall be compared to a survey outcome of self- and outside perception based on psychologic concepts.
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The neuroscientist, medical specialist and psychotherapist Joachim Bauer explains in his book “Wie wir werden, wer wir sind” (2019) the three-perspective self as three perceptions; you, me and us, which correlate a field of verbal and nonverbal resonance which is needed to develop personality.
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Mess, E.V., Rockstein, D., Märtin, C. (2020). FaceForward – An AI-Based Interactive System for Exploring the Personal Potential. In: Kurosu, M. (eds) Human-Computer Interaction. Human Values and Quality of Life. HCII 2020. Lecture Notes in Computer Science(), vol 12183. Springer, Cham. https://doi.org/10.1007/978-3-030-49065-2_7
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