CEEDS: The collective experience of empathic data systems
The Collective Experience of Empathic Data Systems (CEEDS) consortium advances a novel integrated technology that supports the experiencing, analyzing and understanding of massive datasets. Key axiom of CEEDS is that discovery is the identification of patterns in complex data sets by the human brain. It is these implicit information processing capabilities that CEEDS seeks to exploit. The implicit cues, as measured through novel sensing systems, including bio-signals and non-verbal behaviour form the core information based on which the CEEDS system will process data and present them to the user(s). Confluence is achieve firstly, through immersion of the user in synthetic reality spaces, that allow to explore complex data spaces following narrative structures of varying spatio-temporal complexity, and secondly, through an unobtrusive multi-modal wearable technology that will provide an assessment of the behavioural, physiological and mental states of the user. The pattern detection faculties of individuals will be augmented by linking multiple users together, hence creating a collective discovery system. Overall integration is achieved by generalizing architectures from the field of network robotics, creating a novel technological approach towards massive distributed synthetic reality applications. The CEEDS paradigm will be validated through studies with stakeholders from science, history and design. On the theoretical level, CEEDS pursues a novel integrated computational and empirical framework, which merges the delivery of presence with the study of consciousness, its underlying sub-conscious factors and creativity. CEEDS will follow multi-disciplinary approach that will significantly further the state of the art across science, engineering and humanities, and advance the development of confluent technologies, by bringing together a team of leading experts in psychology, computer science, engineering, mathematics, and other key disciplines.
P. Omedas, A. Betella, R. Zucca, Xerxes D. Arsiwalla, D. Pacheco, J. Wagner, F. Lingenfelser, E. Andre, D. Mazzei, A. Lanatá, D. de Rossi, A. Grau, A. Goldhoorn, E. Guerra, R. Alquézar Mancho, A. Sanfeliu and Paul F.M.J. Verschure. XIM-Engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mix, 2014 Virtual Reality International Conference, 2014, Laval, France, pp. 26:1-4, ACM New York, NY, USA.
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