More Web Proxy on the site http://driver.im/

Article

A Mobile Game Controller Adapted to the Gameplay and User’s Behavior Using Machine Learning

Authors:

Leonardo Torok,

Mateus Pelegrino,

Daniela G. Trevisan,

Anselmo MontenegroAuthors Info & Claims

Entertainment Computing - ICEC 2015

Pages 3 - 16

https://doi.org/10.1007/978-3-319-24589-8_1

Published: 10 March 2022 Publication History

Abstract

When playing games, the user expects an easy and intuitive interaction. While current controllers are physical hardware components with a default configuration of buttons, different games use different buttons and demand different interaction methods. Besides, the player style varies according to personal characteristics or past gaming experiences. In previous works we proposed a novel virtual controller based on a common touchscreen device, such as smartphone or tablet, that is used as a gamepad to control a game on a computer or game console. In this work we include machine-learning techniques for an intelligent adaption of the layout and control elements distribution, minimizing errors and providing an enjoyable experience for individual users. We also present different usability tests and show considerable improvements in the precision and game performance of the user. We expect to open a new way of designing console and desktop games, allowing game designers to project individual controllers for each game.

References

[1]

Android SDK and Eclipse plugin. http://developer.android.com/sdk/index.html?hl=sk

[2]

Baldwin, T., Chai, J.: Towards online adaptation and personalization of key-target resizing for mobile devices. In: IUI 2012, pp. 11–20 (2012)

[3]

Bezold, M., Minker, W.: Adaptive multimodal interactive systems. Springer, 5 (2011)

[4]

Bi, X., Zhai, S.: Bayesian Touch – A Statistical Criterion of Target Selection with Finger Touch. ACM UIST 2013, 51–60 (2013)

[5]

BlueCove. https://code.google.com/p/bluecove/

[6]

Brandao, A., Trevisan, D., Brandao, L., Moreira, B., Nascimento, G., Vasconcelos, C., Clua, E., Mourao, P.: Semiotic inspection of a game for children with down syndrome. In: 2010 Brazilian Symposium Games and Digital Entertainment (SBGAMES), pp. 199–210 (November 2010)

[7]

Burke, J.W., McNeill, M., Charles, D., Morrow, P., Crosbie, J., McDonough, S.: Serious games for upper limb rehabilitation following stroke. In: Proceedings of the 2009 Conference in Games and Virtual Worlds for Serious Applications, VS-GAMES 2009, pp. 103–110. IEEE Computer Society, Washington, DC (2009)

[8]

Dretske.: Explaining Behavior. Reasons in a World of Causes. MIT Press, Cambridge (1988)

[9]

GestureWorks Gameplay on Steam. http://store.steampowered.com/app/296610

[10]

Golomb, M.R., McDonald, B.C., Warden, S.J., Yonkman, J., Saykin, A.J., Shirley, B., Huber, M., Rabin, B., AbdelBaky, M., Nwosu, M.E., Barkat-Masih, M., Burdea, G.C.: In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy. Archives of Physical Medicine and Rehabilitation, e1 91(1), 1–8 (2010)

[11]

Gonzalez, T.F.: On the computational complexity of clustering and related problems. In: Drenick, R.F., Kozin, F. (eds.) System Modeling and Optimization. Lecture Notes in Control and Information Sciences, vol. 38, pp. 174–182. Springer, Heidelberg (1982)

[12]

Joselli, M., Junior, J.R.S., Zamith, M., Clua, E., Soluri, E.: A content adaptation architecture for games. In: SBGames, SBC (2012)

[13]

Joselli, M., Silva Junior, J.R., Zamith, M., Soluri, E., Mendonca, E., Pelegrino, M., Clua, E.W.G.: An architecture for game interaction using mobile. In: 2012 IEEE International Games Innovation Conference (IGIC), pp. 73–77 (August 2012)

[14]

Laikari, A.: Exergaming - gaming for health: A bridge between real world and virtual communities. In: IEEE 13th International Symposium on Consumer Electronics, ISCE 2009, pp. 665–668 (May 2009)

[15]

Langley, P.: Machine learning for adaptive user interfaces. In: Brewka, G., Habel, C., Nebel, B. (eds.) KI 1997. LNCS, vol. 1303, pp. 53–62. Springer, Heidelberg (1997)

[16]

Malfatti, S.M., dos Santos, F.F., dos Santos, S.R.: Using mobile phones to control desktop multiplayer games. In: Proceedings of the 2010 VIII Brazilian Symposium on Games and Digital Entertainment, SBGAMES 2010, pp. 74–82. IEEE Computer Society, Washington, DC (2010)

[17]

Pelegrino, M., Torok, L., Trevisan, D., Clua, E.: Creating and Designing Customized and Dynamic Game Interfaces Using Smartphones and Touchscreen. In: 2014 Brazilian Symposium on Computer Games and Digital Entertainment (SBGAMES), pp. 133–139. IEEE (2014)

[18]

Pelegrino, M., Zamith, M., Mendonça, E., Joselli, M., Torok, L., Clua, E.: Controle orgânico virtual para jogos por dispositivos eletrônicos com tela sensível ao toque configurável e adaptável ao uso. Patent INPI BR 1020130300039 (filled in November 2013). http://www.inpi.gov.br/portal/artigo/busca_patentes (Accessed: February 2013)

[19]

Rogers, S., Williamson, J., Stewart, C., Murray-Smith, R.: Fingercloud: uncertainty and autonomy handover in capacitive sensing. In: ACM CHI 2010, pp. 577–580 (2010)

[20]

Smola, A., Vishwanathan, S.: Introduction to Machine Learning, pp. 32–34. Cambridge University (2008)

[21]

Stenger, B., Woodley, T., Cipolla, R.: A vision-based remote control. In: Computer Vision: Detection, Recognition and Reconstruction, pp. 233–262 (2010)

[22]

Vajk, T., Coulton, P., Bamford, W., Edwards, R.: Using a mobile phone as a wii-like controller for playing games on a large public display. Int. J. Comput. Games Technol., 4:1–4:6 (January 2008)

Digital Library

[23]

Wei, C., Marsden, G., Gain, J.: Novel interface for first person shooting games on pdas. In: OZCHI 2008: Proceedings of the 20th Australasian Conference on Computer-Human Interaction, OZCHI, pp. 113–121. ACM, New York (2008)

[24]

Weir, D., Rogers, S., Murray-Smith, R., Löchtefeld, M.: A user-specific machine learning approach for improving touch accuracy on mobile devices. In: ACM UIST 2012, pp. 465–476 (2012)

[25]

Weka: Data Mining Software in Java. http://www.cs.waikato.ac.nz/ml/weka/

[26]

Zamith, M., Joselli, M., Siva Junior, J., Pelegrino, M., Mendonça, E., Clua, E.: AdaptControl: An adaptive mobile touch control for games. In: SBGames, pp. 137–145 (2013)

[27]

Zyda, M., Thkral, D., Jakatdar, S., Engelsma, J., Ferrans, J., Hans, M., Shi, L., Kitson, F., Vasudevan, V.: Educating the next generation of mobile game developers. IEEE Computer Graphics and Applications 27(2), 96, 92–95 (2007)

Cited By

Wührl CSchmid AHößl SWimmer R(2024)Comparing the Effectiveness and Ergonomics of Smartphone-Based GamepadsProceedings of Mensch und Computer 202410.1145/3670653.3670676(207-218)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670676
Gonçalves GMourão ÉTorok LTrevisan DClua EMontenegro A(2017)Understanding User Experience with Game Controllers: A Case Study with an Adaptive Smart Controller and a Traditional GamepadEntertainment Computing – ICEC 201710.1007/978-3-319-66715-7_7(59-71)Online publication date: 18-Sep-2017
https://dl.acm.org/doi/10.1007/978-3-319-66715-7_7

Index Terms

A Mobile Game Controller Adapted to the Gameplay and User’s Behavior Using Machine Learning

Index terms have been assigned to the content through auto-classification.

Recommendations

Gameplay evaluation of the trackball controller
Futureplay '10: Proceedings of the International Academic Conference on the Future of Game Design and Technology

We present a study of user performance in a First Person Shooter game comparing a prototype trackball controller, a standard game controller, and a keyboard and mouse. The prototype controller replaces the right analog stick of a standard game ...
Augmented Table-Top Role-Playing Game with Movement-Based Gameplay and Arm-Worn Devices
DIS '17 Companion: Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems

Augmenting table-top role-playing games (TTRPG) is a trending subject in game research. Different objects and interaction modalities such as surface displays, tangible devices or interactive rooms are used for the augmentation of TTRPG. Still, usage of ...
Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends
FDG '21: Proceedings of the 16th International Conference on the Foundations of Digital Games

League of Legends (LoL) is the most widely played multiplayer online battle arena (MOBA) game in the world. An important aspect of LoL is competitive ranked play, which utilizes a skill-based matchmaking system to form fair teams. However, players’ ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings

Entertainment Computing - ICEC 2015

593 pages

ISBN:978-3-319-24588-1

DOI:10.1007/978-3-319-24589-8

Editors:
Konstantinos Chorianopoulos
Ionian University, Corfu, Greece
,
Monica Divitini
Program for Learning with ICT, Norwegian Univ of Science and Tech, Trondheim, Norway
,
Jannicke Baalsrud Hauge
Bremer Institu für Produktion und Logist, Universität Bremen, Bremen, Germany
,
Letizia Jaccheri
Norwegian Univ of Science and Technology, Trondheim, Norway
,
Rainer Malaka
University of Bremen, Bremen, Germany

Copyright © 2015 Springer International Publishing Switzerland.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 10 March 2022

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wührl CSchmid AHößl SWimmer R(2024)Comparing the Effectiveness and Ergonomics of Smartphone-Based GamepadsProceedings of Mensch und Computer 202410.1145/3670653.3670676(207-218)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670676
Gonçalves GMourão ÉTorok LTrevisan DClua EMontenegro A(2017)Understanding User Experience with Game Controllers: A Case Study with an Adaptive Smart Controller and a Traditional GamepadEntertainment Computing – ICEC 201710.1007/978-3-319-66715-7_7(59-71)Online publication date: 18-Sep-2017
https://dl.acm.org/doi/10.1007/978-3-319-66715-7_7

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents