Abstract
Serious games present a valuable tool for continuous cognitive assessments especially in the case of elderly, where there is a lack of cognitive tools to continuously assess the transitory conditions that occur between normal cognition and cognitive failure. However, designing games for elderly poses distinctive challenges since one has to take into account the limited experience of today’s elderly with digital gameplay interfaces like touch screens that are second-nature to younger players. In this paper we present an initial user study with young and healthy subjects where we evaluate a computer-vision based digitalization process that is necessary to turn a physical version of the board game “Ludo” into an automated assessment tool. We further evaluate to which extend this tool presents a valid alternative to assess the strategic cognitive capabilities of a person. We have chosen Ludo in its physical form after careful consideration together with elderly and caregivers since many elderlies know this game from their childhood and thus do not need to learn new game rules or to adapt to digital environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
EU: People in the EU – population projections (2018)
U.S. Bureau: FFF: Older Americans Month: May 2017 (2018)
EGDF: European Games Developer Federation (2018)
Aal: Objectives | Active and assisted living programme (2018)
Abt, C.C.: Serious games. University Press of America (1987)
Susi, T., Johannesson, M., Backlund, P.: Serious games: an overview. Institutionen för kommunikation och information (2007)
Djaouti, D., Alvarez, J., Jessel, J.-P., Rampnoux, O.: Origins of serious games. In: Ma, M., Oikonomou, A., Jain, L. (eds.) Serious Games and Edutainment Applications, pp. 25–43. Springer, London (2011). https://doi.org/10.1007/978-1-4471-2161-9_3
Michael, D.R., Chen, S.L.: Serious Games: Games that Educate, Train, and Inform. Muska & Lipman/Premier-Trade (2005)
Bente, G., Breuer, J.: Making the implicit explicit. In: Serious Games: Mechanisms and Effects, pp. 322–343 (2009)
Bellotti, F., Kapralos, B., Lee, K., Moreno-Ger, P., Berta, R.: Assessment in and of serious games: an overview. In: Advances in Human-Computer Interaction, vol. 2013, p. 1 (2013)
Shute, V.J.: Stealth assessment in computer-based games to support learning. Comput. Games Instr. 55(2), 503–524 (2011)
Lemus-Zúñiga, L.-G., Navarro-Pardo, E., Moret-Tatay, C., Pocinho, R.: Serious games for elderly continuous monitoring. In: Fernández-Llatas, C., García-Gómez, J.M. (eds.) Data Mining in Clinical Medicine. MMB, vol. 1246, pp. 259–267. Springer, New York (2015). https://doi.org/10.1007/978-1-4939-1985-7_16
Tong, T., et al.: Rapid deployment and evaluation of mobile serious games: a cognitive assessment case study. Procedia Comput. Sci. 69, 96–103 (2015)
Wittland, J., Brauner, P., Ziefle, M.: Serious games for cognitive training in ambient assisted living environments – a technology acceptance perspective. In: Abascal, J., Barbosa, S., Fetter, M., Gross, T., Palanque, P., Winckler, M. (eds.) INTERACT 2015. LNCS, vol. 9296, pp. 453–471. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22701-6_34
Diethelm, I., Jubeh, R., Koch, A., Zündorf, A.: Whitesocks-a simple GUI framework for Fujaba. Volume Editors, p. 30 (2007)
Kroll, M., Geiß, R.: A Ludo Board Game for the AGTIVE 2007 Tool Contest (2007). http://gtcases.cs.utwente.nl/wiki/uploads/ludokarlsruhe.pdf
Rensink, A., et al.: Ludo: a case study for graph transformation tools. In: Schürr, A., Nagl, M., Zündorf, A. (eds.) AGTIVE 2007. LNCS, vol. 5088, pp. 493–513. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89020-1_34
Cujzek, M., Vranic, A.: Computerized tabletop games as a form of a video game training for old-old. Aging Neuropsychol. Cogn. 24(6), 631–648 (2017)
Canny, J.: A computational approach to edge detection. In: Readings in Computer Vision, pp. 184–203. Elsevier (1987)
Suzuki, S.: Topological structural analysis of digitized binary images by border following. Comput. Vis. Graph. Image Process. 30(1), 32–46 (1985)
Davies, E.: A modified hough scheme for general circle location. Pattern Recogn. Lett. 7(1), 37–43 (1988)
Illingworth, J., Kittler, J.: The adaptive hough transform. IEEE Trans. Pattern Anal. Mach. Intell. 5, 690–698 (1987)
Molla, E., Lepetit, V.: Augmented reality for board games. In: ISMAR, pp. 253–254. IEEE (2010)
Heerink, M., Krose, B., Evers, V., Wielinga, B.: Studying the acceptance of a robotic agent by elderly users. Int. J. Assistive Robot. Mechatron. 7(3), 33–43 (2006)
Heerink, M., Krose, B., Evers, V., Wielinga, B.: Measuring acceptance of an assistive social robot: a suggested toolkit. In: RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication, pp. 528–533 (2009)
Acknowledgement
We thank Ms. Rosel Cleef-Lind from Seniorenzentrum Breberen GmbH (Heinrichs Gruppe), and Ms. Kathrin Polfers, Familienzentrum Lindenbaum e.V., for advice regarding the game and its layout to make the game suitable for elderly and children.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Schmitt, F., Christopher, S.M., Tumanov, K., Weiss, G., Möckel, R. (2018). Evaluating the Adoption of the Physical Board Game Ludo for Automated Assessments of Cognitive Abilities. In: Göbel, S., et al. Serious Games. JCSG 2018. Lecture Notes in Computer Science(), vol 11243. Springer, Cham. https://doi.org/10.1007/978-3-030-02762-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-02762-9_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02761-2
Online ISBN: 978-3-030-02762-9
eBook Packages: Computer ScienceComputer Science (R0)