@phdthesis{CastilloAlejandre2019, author = {Castillo Alejandre, Susana}, title = {Digital humanity: the temporal and semantic structure of dynamic conversational facial expressions}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-51562}, school = {BTU Cottbus - Senftenberg}, year = {2019}, abstract = {This thesis focuses on establishing a - theoretically founded and empirically derived - novel methodological pipeline to provide Embodied Conversational Agents (ECAs) with natural facial expressions and desired personality traits. After giving an overview on the content of this thesis, we dedicate its second part to derive the Semantic Space (SSp) for facial expressions, finding that the same space is used for expression words, expression videos, and motion-capture-based point-cloud animations. The process involved the creation of a new facial expression database using Motion Capture (MoCap) technology. Our technique can be used to empirically map specific motion trajectories (including their frequency-decomposition) onto specific perceptual attributes, allowing the targeted creation of novel animations with the desired perceptual traits, as exemplified in the third part of this thesis. Before addressing our final conclusions and, on the grounds that the systematic differences between individuals while performing the same facial expressions are related to their personality, we devote the fourth part of this thesis to the study of the mapping between personality and expressive facial motions.}, subject = {Facial Animation; Cognitive-based behavioural modelling; Motion capture; Personality; Gesichtsanimation; Kognitiv-basierte Verhaltensmodellierung; Pers{\"o}nlichkeit; Merkmalsextraktion; Motion Capturing; Mimik; Computeranimation}, language = {en} }