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*Students
11. Wright, M. F., Azar, S. T., Whyte, E. M., & Lopez, C. E., “Home safety hero: testing reaction time differences among teen mothers for single versus multiple game play”. Current Psychology, 1-12 (2022). DOI: 1007/s12144-022-03748-x.
10. Stranick*, T., and Lopez, C. E., “Adaptive Virtual Reality Exergame: Promoting Physical Activity Among Workers” J. Comput. Inf. Sci. Eng., 1,22, (2021). DOI: 10.1115/1.4053002
9. Lopez, C. E., Gallemore, C., “An Augmented Multilingual Twitter dataset for studying the COVID-19 infodemic” Soc. Netw. Anal. Min. 11, 102 (2021). DOI: s13278-021-00825-0 (see Link)
8. M. F., Azar, S. T., Whyte, E. M., Lopez, C. E., J., Hanna, “Preventing Childhood Injuries: Improving Home Hazard Identification and Resolution through Serious Game Simulation’, in Translational Issues in Psychological Science (2021)
7. Lopez, C. E., Cunningham, J., Ashour, O., and Tucker, C. S, “Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments,” in ASME Journal of Computing and Information Science in Engineering (2020) (doi: 1115/1.4046293)(see PDF)
6. Zhao, V., Lopez, C. E., and Tucker, C. S, “Evaluating the impact of idea dissemination methods on information loss,” in ASME Journal of Computing and Information Science in Engineering (2019)19,3 (doi: 10.1115/1.4042553) (see PDF).
5. Lopez, C. E., and Tucker, C. S., “The effects of player type on performance: A gamification case study,” Computers in Human Behavior (2019) 91, 333-345 (doi:10.1016/j.chb.2018.10.005) (see PDF).*Second place winner on the 2018 CERS PSU (see post)
4. Lopez, C. E., and Tucker, C. S., “Towards personalized adaptive gamification: A machine learning model for predicting performance,” IEEE Transactions on Games (2018) (doi:10.1109/TG.2018.2883661)(see PDF).
3. Lopez, C. E., Miller, S. R., and Tucker, C. S., “Exploring biases between human and machine generated designs,” in ASME Journal of Mechanical Design (2018), 141, 2 (doi:10.1115/1.4041857) (see PDF).
2. Lopez, C. E.; Tucker, S.; Salameh, T.; and Tucker, C., “An unsupervised machine learning method for discovering patient clusters based on genetic signatures,” Journal of Biomedical Informatics (2018),85, 30-39 (doi:10.1016/j.jbi.2018.07.004)(see PDF).*See Penn State Health News Article (May 2, 2018)
1. Lopez, C. E., and Tucker, C. S., “A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications,” Computers in Human Behavior (2017), 71, 42-58 (doi: 10.1016/j.chb.2017.01.036 )(see PDF). *See Penn State News Article (April 19, 2017),*See IISE Magazine (June 2017, Vol:49, No.:6, pag.15)
