Exploring the Factors that Influence the Intention to Play a Color Mixing Game
Color mixing is viewed as one of the most important stages with regard to learning colors, and digital games have been identified as a useful means for encouraging students in learning. However, little effort has been devoted to using digital games to assist students in learning color mixing. To remedy this deficiency, this study developed a color mixing game and further explored the subjects’ perspectives on the game. More specifically, the technology acceptance model was employed to develop a questionnaire to collect the subjects’ opinions about the game, through which the decisive factors behind the subjects’ intention to play the game can be analyzed. The questionnaire delivered two significant results. First, the subjects’ perceived ease of playing influenced their attitude toward playing through the mediation of perceived usefulness. Second, the subjects’ perceived usefulness influenced their intention to play through the mediation of attitude toward playing. The mediation of perceived usefulness and attitude toward playing implied that both ways of influence were indirect.
KeywordsBehavioral Intention Learning Motivation Technology Acceptance Model Composite Reliability Primary Color
We would like to express special thanks to Ms. Ting-Ying Du, Ms. Li-Rong Weng, Mr. Lun Hong, Ms. Yi-Jing Huang, and Mr. Wei-Long Chen who provided effective technical support to implement the color mixing game. The authors also would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan, for financially supporting this research under Contract No. MOST 103-2511-S-041-002-MY3.
- 1.Perge, E., Zichar, M.: Computer assisted method for cognitive improvement of color aptitude. In: Proceedings of 6th IEEE International Conference on Cognitive Infocommunications, Gyor, Hungary (2015)Google Scholar
- 2.Holtzschue, L.: Understanding Color. Wiley, Hoboken (2011)Google Scholar
- 3.Lányi, C.S., Kosztyán, Z., Kránicz, B., Schanda, J., Navvab, M.: Using multimedia interactive e-teaching in color science. LEUKOS 4(1), 71–82 (2007)Google Scholar
- 10.Fishbein, M., Azjen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)Google Scholar
- 11.Hong, J.C., Hwang, M.Y., Chen, Y.J., Lin, P.H., Huang, Y.T., Cheng, H.Y., Lee, C.C.: Using the saliency-based model to design a digital archaeological game to motivate players’ intention to visit the digital archives of Taiwan’s natural science museum. Comput. Educ. 66, 74–82 (2013)CrossRefGoogle Scholar
- 12.Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate Data Analysis, 6th edn. Prentice-Hall, New Jersey (2006)Google Scholar
- 14.Chin, W.W., Newsted, P.R.: Structural equation modeling analysis with small samples using partial least squares. In: Hoyle, R. (ed.) Statistical Strategies for Small Sample Research, pp. 307–341. Sage Publications, California (1999)Google Scholar