XIM-Engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mixed reality
| Autor: | Antonio Lanata, Antoni Grau, Daniele Mazzei, Alberto Betella, Danilo De Rossi, Paul F. M. J. Verschure, Edmundo Guerra, Alex Goldhoorn, Pedro Omedas, Elisabeth André, Xerxes D. Arsiwalla, Riccardo Zucca, Florian Lingenfelser, Johannes Wagner, Alessandro Tognetti, René Alquézar, Alberto Sanfeliu, Daniel Pacheco |
|---|---|
| Přispěvatelé: | European Commission, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents, Universitat Politècnica de Catalunya. SOCO - Soft Computing, Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents |
| Rok vydání: | 2014 |
| Předmět: |
Unconscious mind
Realitat virtual Computer science Cognitive systems Theoretical models Affective computing computer.software_genre Mixed reality Information overload Virtual reality Interacció persona-ordinador Software framework Bio-inspired Biomimetics Human computer interaction XIM Human–computer interaction Immersion (virtual reality) Contextual information ddc:004 Informàtica::Sistemes d'informació::Interacció home-màquina [Àrees temàtiques de la UPC] computer |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) VRIC Recercat. Dipósit de la Recerca de Catalunya Universitat Jaume I |
| Popis: | Trabajo presentado a la Virtual Reality International Conference (VRIC) celebrada del 9 al 11 de abril de 2014 en Laval (Francia).-- et al. The development of systems that allow multimodal interpretation of human-machine interaction is crucial to advance our understanding and validation of theoretical models of user behavior. In particular, a system capable of collecting, perceiving and interpreting unconscious behavior can provide rich contextual information for an interactive system. One possible application for such a system is in the exploration of complex data through immersion, where massive amounts of data are generated every day both by humans and computer processes that digitize information at different scales and resolutions thus exceeding our processing capacity. We need tools that accelerate our understanding and generation of hypotheses over the datasets, guide our searches and prevent data overload. We describe XIM-engine, a bio-inspired software framework designed to capture and analyze multi-modal human behavior in an immersive environment. The framework allows performing studies that can advance our understanding on the use of conscious and unconscious reactions in interactive systems. The work described in this paper has been supported by the European Commission, Seventh Framework Programme under the research grant CEEDs (FP7-ICT- 258749). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|