Jogos Colaborativos de Multidão Explorando Técnicas de Sensoriamento Participativo e Simulação Inteligente de Vida Artificial
Collaborative Crowd Games Exploring Participatory sensing and Intelligent Artificial Life Simulation Techniques
Keywords:
jogos colaborativos, eventos de entretenimento, computação móvel, sensoriamento participativo, computação de multidãoAbstract
Mobile devices have become an indispensable part of modern life. We investigated how such devices could be used to improve audience experience at entertainment events, and as a result, we proposed Cabo DIGuerra, a collaborative mobile game that uses motion sensors and microphones to provide interactivity between the audience and the show through a dispute that digitally simulates a tug-of-war. Bumbometer, an evolution of Cabo DIGuerra, was used in two case studies at large events in northern Brazil, with the results indicating the game’s and proposed technologies’ suitability. Furthermore, a prototype application was developed based on the findings of case studies with a Boidsbased artificial life system, Bumboids.
Downloads
Referências
Baig, M. W., Baig, M. S., Bastani, V., Barakova, E. I., Marcenaro, L., Regazzoni, C. S., and Rauterberg, M. (2015). Perception of emotions from crowd dynamics. In 2015 IEEE International Conference on Digital Signal Processing (DSP), pages 703–707. IEEE.
de Freitas Martins, G., de Freitas, R., and Gadelha, B. (2020). A mobile game based on participatory sensing with real-time client-server architecture for large entertainment events. In 2020 XLVI Latin American Computing Conference (CLEI), pages 332–339.
Guo, B., Wang, Z., Yu, Z., Wang, Y., Yen, N. Y., Huang, R., and Zhou, X. (2015). Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm. ACM Computing Surveys (CSUR), 48(1):7.
Long, N. K., Sammut, K., Sgarioto, D., Garratt, M., and Abbass, H. (2019). A comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach. arXiv preprint arXiv:1912.07796. Macias, E., Suarez, A., and Lloret, J. (2013). Mobile sensing systems. Sensors, 13(12):17292–17321.
Martins, G., Gomes, G., Conceic¸ao, J., Luiza, Marques, L., da Silva, D., Castro, ˜ T., Gadelha, B., and de Freitas, R. (2021a). Bumbometer digital crowd game: collaboration through competition in entertainment events. Journal on Interactive Systems, 12(1):294–307.
Martins, G., Gomes, G., Conceic¸ao, J. L., Marques, L., Silva, D. D., Castro, T., ˜ Gadelha, B., and de Freitas, R. (2020). Enhanced interaction: audience engagement in entertainment events through the bumbometer app. In Anais do XIX Simposio Brasileiro ´ sobre Fatores Humanos em Sistemas Computacionais, pages 121–130, Porto Alegre, RS, Brasil. SBC.
Martins, G., Lima, G., Gomes, G., Marques, L., Conceic¸ao, J., Castro, T., Gadelha, ˜ B., and de Freitas, R. (2021b). La e c ´ a, torcendo de casa na live: entretenimento ´ com inovac¸ao tecnol ˜ ogica em combate ao isolamento social. ´ Proceedings of the XX Brazilian Symposium on Computer Games and Digital Entertainment.
Reynolds, C. W. (1987). Flocks, herds and schools: A distributed behavioral model. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques, pages 25–34.
Still, G. K. (2000). Crowd dynamics. PhD thesis, University of Warwick. Veerasawmy, R. and Iversen, O. S. (2012). Bannerbattle: introducing crowd experience to interaction design. In Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making sense through design, pages 228–237. ACM.
Zhong, X. and Cao, G. (2016). Fuzzy boids using a dynamic weighting method based on gauss circle. In 2016 35th Chinese Control Conference (CCC), pages 7567–7571. IEEE
