Behind The Science Podcast

In this episode, we talk with Dr. Nicko Caluya about his study on whether the size of the overlay field of view (OFOV) in head-mounted displays affects a person's ability to memorize spatial locations. OFOV refers to the small window through which virtual objects are visible in optical see-through AR headsets, and narrower OFOVs are often criticized as a limitation of the technology. Using a simulated head-mounted display with three different OFOV sizes, the study tested 18 participants on their ability to memorize and recall the locations of virtual object pairs.📚Reference: Caluya, N. R., Plopski, A., Sandor, C., Fujimoto, Y., Kanbara, M., & Kato, H. (2022). Does overlay field of view in head-mounted displays affect spatial memorization? Computers & Graphics, 102, 554–565.

In this episode, we talk with Victor Anastacio, stand-up comedian and host of the podcast Intellectwalwal, about whether there's a formula for making people laugh. A former banker who left the corporate world to pursue comedy full-time with Comedy Manila, Victor shares his perspective on what makes comedy work, drawing from his years on stage and behind the mic.

In this episode, we talk with Nicko R. Caluya about his study on the design of Igpaw: Intramuros, a smartphone- and tablet-based augmented reality game that teaches Philippine history through an adventure game format set in the walled city of Intramuros, Manila.
📚Reference: Rodrigo, M. M. T., Caluya, N. R., Diy, W. D. A., & Vidal, E. C. E., Jr. (2015). Igpaw: Intramuros — Design of an augmented reality game for Philippine history. In H. Ogata et al. (Eds.), Proceedings of the 23rd International Conference on Computers in Education (pp. 1–10). Asia-Pacific Society for Computers in Education.

In this episode, we talk with Dr. Janine Patricia G. Robredo about her thesis on stunting among children under five in nutrition aid-recipient communities in the Philippines.

In this episode, we talk with Diether C. Montejo about his study on predicting how university entrants perform in the State University Aptitude and Scholarship Test (SUAST) — the college admission exam of Davao Oriental State University. Despite a 54% passing rate over a five-year period, non-passers continued to be accepted due to policy changes, raising questions about what factors actually determine exam performance. Using both Multiple Linear Regression and Multi-Layer Perceptron Neural Network approaches, the study found that family income, library access, senior high school grades, intrinsic motivation, and openness and intellect were significant predictors. The neural network model also slightly outperformed traditional regression in predicting exam scores.
📚Reference: Singh, N. A., & Montejo, D. C. (2023). Bridging the gap: A comparative analysis of traditional and neural network regression methods for predicting university entrant performance in SUAST examination. Davao Research Journal, 14(2), 116–137. 🤝This episode is co-presented by the Davao Research Journal. Submit here.