Incorporating digital games into anti-drug material: non-drug-addicted learners vs. drug-addicted learners
Drug abuse causes serious problems around the world. Thus, anti-drug material has been increasingly developed and used. However, conventional anti-drug material has until today shown insufficient effects on preventing drug abuse, especially for drug-addicted users. To this end, this study proposes a game-based anti-drug material and examines how drug-addicted people and non-drug-addicted people interact with the game-based anti-drug material. A lag sequential analysis approach was applied to analyze their different behavior patterns. The results revealed that the experience of drug addiction influenced the way individuals access drug information, complete tasks and reach goals during their gaming process. Based on the findings, some suggestions are proposed for the development of adaptive game-based anti-drug material that can accommodate the needs of drug-addicted and non-drug-addicted people to achieve the goal of universal access.
KeywordsEducational digital games Drug addiction Health education Behavior analysis
The authors would like to thank Mr. Chang-Mai Huang for his assistance in developing the system and conducting the experiment. This work was partially supported by the Ministry of Science and Technology, Taiwan (Grant MOST 103-2511-S-008-010-MY3).
- 9.Brand, M., Markowitsch, H.J.: The role of prefrontal cortex in episodic memory. In: The Handbook of Episodic Memory. Amsterdam, Elsevier (2008)Google Scholar
- 15.Eslami, M., Firoozabadi, M., Homayounvala, E.: (2017) User Preferences for Adaptive User Interfaces in Health Information Systems. Universal Access in the Information Society, pp 1–9Google Scholar
- 24.Ku, O., Chen, S.Y., Wu, D.H., Lao, A.C.C., Chan, T.W.: The effects of game-based learning on mathematical confidence and performance: high ability vs low ability. Educ. Technol. Soc. 17(3), 65–78 (2014)Google Scholar
- 29.Schweizer, H., Hayslett, C., Bansal, N., Ronco, S., Schafer, R.: Effective alcohol, tobacco and other drug intervention and prevention using online game-based, e-learning: an evidence-informed program that works. Int. J. e-Learn. 13(3), 335–373 (2014)Google Scholar
- 31.Shneiderman, B.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 3rd edn. Addison-Wesley, Reading (1998)Google Scholar
- 32.Soliman, A.M., Gadelrab, H.F., Elfar, R.M.: Working memory subsystems are impaired in chronic drug dependents. Acta Neuropsychiatr. 25, 144–154 (2013)Google Scholar
- 35.Thangrattana, M.K., Pathumcharoenwattana, W., Ninlamot, W.: A non-formal education program to enhance drug abuse resilience quotient of youth at-risk of drug relapse: the approaching of the transformative learning. Theory Cogn. Behav. Modif. Concept Procedia Soc. Behav. Sci. 152, 916–924 (2014)CrossRefGoogle Scholar
- 38.United Nations Office On Drugs And Crime (UNODC): World Drug Report 2015, United Nation Publication (2015)Google Scholar
- 41.WHO Collaborating Centre for Drug Statistics Methodology: The Anatomical Therapeutic Chemical Classification System (2014)Google Scholar