A carregar...
Publicação
The biocybernetic loop engine: an integrated tool for creating physiologically adaptive videogames
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 796.27 KB | Adobe PDF |
Orientador(es)
Resumo(s)
Biocybernetic loops (BLs) are physiological adaptation mechanisms created to augment human-computer interaction by interpreting human behaviour via physiological responses. Because of its inherent complexity, the development of BLs has been mainly utilized within the academic environment, with limited use of physiologically adaptive systems in promising fields such as assistive and gaming technologies. The Biocybernetic Loop Engine (BL Engine) is an integrated software tool designed for an easy creation of physiologically modulated videogames by means of wearable sensors. The BL Engine includes a signal acquisition panel, which facilitates the connectivity of multiple physiological sensors and the processing of their signals, a biocybernetic console to rapidly create and iterate adaptive rules using a visual scripting module, and a game connector tool that ties physiological modulations to game variables. In this paper, we present the BL Engine software architecture, its design and implementation process, as well as a proof-of-concept of the system applied to an exergaming experience aiming to improve cardiorespiratory fitness training in older adults. By developing integrated tools that aid the design and implementation of BLs in videogames, we aim to contribute to the dissemination and widespread use of this approach in the gaming industry and serious gaming applications.
Descrição
Palavras-chave
Biocybernetic loop Videogames Adaptation Software Visual scripting Exergames Heart rate Unity3D . Faculdade de Ciências Exatas e da Engenharia
Contexto Educativo
Citação
Muñoz, J. E., Gouveia, E. R., Cameirão, M. S., & Bermúdez i Badia, S. (2017). The biocybernetic loop engine: an integrated tool for creating physiologically adaptive videogames. In Proceedings of the 4th International Conference on Physiological Computing Systems (PhyCS 2017), (45-54). ISBN: 978-989-758-268-4
Editora
SCITEPRESS