Bumbometer digital crowd game: collaboration through competition in entertainment events





crowd computing, crowd digital game, entertainment industry, mobile computing, participatory sensing, user experience


The use of mobile devices, especially smartphones, is widespread across all social strata and age groups, helping to ensure faster access from anywhere, data collection, and more regular and frequent control to aid urban, environmental, and social management. In this scenario, the entertainment industry has benefited from this powerful individual technological resource in cultural and sporting events. In this way, this work presents a proposal for interaction and engagement in entertainment events in a more prosperous and more technological way, through the development of a collaborative and competitive mobile-­web crowd game, intended for enhancing interaction between the crowd and as a unified group, whether physically co-­located or online. The application, called Bumbometer, uses motion sensors during an interactive dynamic with the crowd applying concepts from Mobile Crowd Sensing and User eXperience. We conducted two experimental studies to evaluate the proposed technology, the first in a real scenario of a folk cultural festival and the second in a controlled environment, simulating an event considering a scenario in which users were geographically distant. The results indicate that people feel immersed and engaged during the interaction through the proposed game, which reinforces the statement that the game meets an increasingly growing need to use technologies to ensure more significant interaction and audience immersion at crowd entertainment events, a creative and far­-reaching form.


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Barkhuus, L. and Jørgensen, T. (2008). Engaging the crowd: studies of audience-­performer interaction. In CHI’08 extended abstracts on Human factors in computing systems, pages 2925–2930. ACM.

Bennett, L. (2012). Patterns of listening through social media: online fan engagement with the live music experience. Social Semiotics, 22(5):545–557.

Brennand, C. V. L. T., Brennand, C. A. R. L., Duarte, E. F., and Baranauskas, M. C. C. (2019). Evaluating the user experience in interactive installations: A case study. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems, IHC ’19.

Burns, L. A. (2016). The concept album as visual—sonic—textual spectacle: The transmedial storyworld of coldplay’s mylo xyloto. IASPM@ journal, 6(2):91–116.

Cavalcanti, M. L. V. d. C. (2000). O boi­-bumbá de parintins, amazonas: breve história e etnografia da festa. História, ciências, saude­Manguinhos, 6:1019–1046.

Colley, A., Thebault­-Spieker, J., Lin, A. Y., Degraen, D., Fischman, B., Häkkilä, J., Kuehl, K., Nisi, V., Nunes, N. J., Wenig, N., Wenig, D., Hecht, B., and Schöning, J. (2017). The geography of pokémon go: Beneficial and problematic effects on places and movement. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, CHI ’17, page 1179–1192, New York, NY, USA. Association for Computing Machinery.

Edelman, D. C. and Singer, M. (2015). Competing on customer journeys. Harvard Business Review, 93(11):88–100.

Getz, D. (2007). Event studies: Theory, research and policy for planned events. Elsevier Butterworth-­Heinemann.

Gomes, G., de Freitas, R., Castro, T., and Gadelha, B. (2020). Interaheu: heuristics for technological interaction on events. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, pages 1–6.

Guillotine (2012). Zombicide – a zombie havoc boardgame by guillotine games. https://www.zmangames.com/en/games/pandemic/. Accessed: 2021­04­15.

Hassenzahl, M., Burmester, M., and Koller, F. (2003). Attrakdiff: Ein fragebogen zur messung wahrgenommener hedonischer und pragmatischer qualität. In Mensch & computer 2003, pages 187–196. Springer.

Jacucci, G., Oulasvirta, A., Ilmonen, T., Evans, J., and Salovaara, A. (2007). Comedia: mobile group media for active spectatorship. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1273–1282.

Kayali, F., Hödl, O., Fitzpatrick, G., Purgathofer, P., Filipp, A., Mateus-­Berr, R., Kühn, U., Wagensommerer, T., Kretz, J., and Kirchmayr, S. (2017). Playful technology-mediated audience participation in a live music event. In Extended Abstracts Publication of the Annual Symposium on Computer­-Human Interaction in Play, pages 437–443. ACM.

Kleffner, R., Flatten, J., Leaver-­Fay, A., Baker, D., Siegel, J. B., Khatib, F., and Cooper, S. (2017). Foldit standalone: a video game-­derived protein structure manipulation interface using rosetta. Bioinformatics, 33(17):2765–2767.

Lee, S. W., Willette, A., Koutra, D., and Lasecki, W. S. (2019). The effect of social interaction on facilitating audience participation in a live music performance. In Proceedings of the 2019 on Creativity and Cognition, pages 108–120. ACM.

Lordin, D. (2017). Consumer engagement during concerts : A study on using mobile interactive technology to enhance the live music event experience. Master’s thesis, KTH, School of Computer Science and Communication (CSC).

Lux, M., Halvorsen, P., Dang-­Nguyen, D.­T., Stensland, H., Kesavulu, M., Potthast, M., and Riegler, M. (2019). Summarizing e-­sports matches and tournaments: The example of counter­strike: Global offensive. In Proceedings of the 11th ACM Workshop on Immersive Mixed and Virtual Environment Systems, MMVE ’19, page 13–18, New York, NY, USA. Association for Computing Machinery.

Mackellar, J. (2013). Event Audiences and Expectations. Routledge advances in event research series. Routledge.

Marques, L., Amazonas, M., Castro, T., Assuncao, W., Zaina, L., Gadelha, B., and Conte, T. (2020). Ux trek: a post-interaction journey from immersive experience logs. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, pages 1–6.

Martins, G., de Freitas, R., and Gadelha, B. (2020a). 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. IEEE.

Martins, G., Gomes, G., Conceição, J. L., Marques, L., Silva, D. d., Castro, T., Gadelha, B., and de Freitas, R. (2020b). Enhanced interaction: Audience engagement in entertainment events through the bumbometer app. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, IHC ’20, New York, NY, USA. Association for Computing Machinery.

Miller, J. A., Khatib, F., Hammond, H., Cooper, S., and Horowitz, S. (2020). Introducing foldit education mode. Nature Structural & Molecular Biology, 27(9):769–770.

Mora-­Cantallops, M. and Ãngel Sicilia, M. (2019). Team efficiency and network structure: The case of professional league of legends. Social Networks, 58:105–115.

Nelimarkka, M., Kuikkaniemi, K., Salovaara, A., and Jacucci, G. (2016). Live participation: augmenting events with audience-­performer interaction systems. In Proceedings of the 2016 ACM conference on designing interactive systems, pages 509–520.

Niantic, I. (2016). Pokémon go. https://pokemongolive.com/pt_br/. Accessed: 2021­04­15.

O’Brien, H. L., Cairns, P., and Hall, M. (2018). A practical approach to measuring user engagement with the refined user engagement scale (ues) and new ues short form. International Journal of Human­-Computer Studies, 112:28–39.

Pettersson, I., Lachner, F., Frison, A.­K., Riener, A., and Butz, A. (2018). A bermuda triangle? a review of method application and triangulation in user experience evaluation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1–16.

Preist, C., Massung, E., and Coyle, D. (2014). Competing or aiming to be average? normification as a means of engaging digital volunteers. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, pages 1222–1233.

Riot (2009). League of legends. https://na.leagueoflegends.com/en-us/. Accessed: 2021­04­15.

Sheridan, J., Bryan­Kinns, N., Reeves, S., Marshall, J., and Lane, G. (2011). Graffito: crowd­-based performative interaction at festivals. In CHI’11 Extended Abstracts on Human Factors in Computing Systems, pages 1129–1134. ACM.

Szolnoki, A. and Chen, X. (2021). Cooperation and competition between pair and multi-­player social games in spatial populations. Scientific Reports, 11(1):1–9.

Valve (2012). Counter strike go. https://store.steampowered.com/app/730/CounterStrike_Global_Offensive/. Accessed: 2021­04­15.

Vasconcelos, V., Amazonas, M., Castro, T., Freitas, R., and Gadelha, B. (2018). Watch or immerse?: Redefining your role in big shows. In Proceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems, page 41. ACM.

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.

Veerasawmy, R. and McCarthy, J. (2014). When noise becomes voice: designing interactive technology for crowd experiences through imitation and invention. Personal and ubiquitous computing, 18(7):1601–1615.

Webster, J. and Ho, H. (1997). Audience engagement in multimedia presentations. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 28(2):63–77.

Wu, Y., Zhang, L., Bryan­Kinns, N., and Barthet, M. (2017). Open symphony: Creative participation for audiences of live music performances. IEEE MultiMedia, 24(1):48–62.

Z­-Man (2008). Pandemic board game. https://www.zmangames.com/en/games/pandemic/. Accessed: 2021­04­15.




How to Cite

MARTINS, G.; GOMES, G.; CONCEIÇÃO, J. L.; MARQUES, L.; DA SILVA, D.; CASTRO, T.; GADELHA, B.; DE FREITAS, R. Bumbometer digital crowd game: collaboration through competition in entertainment events. Journal on Interactive Systems, Porto Alegre, RS, v. 12, n. 1, p. 294–307, 2021. DOI: 10.5753/jis.2021.1998. Disponível em: https://sol.sbc.org.br/journals/index.php/jis/article/view/1998. Acesso em: 27 feb. 2024.



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