“UnnCyberpsy”: A Web Application for Psychophysiological Research of Subjective Sleepiness Dynamics
摘要
Data collection is a crucial stage in conducting scientific research, and data-driven approaches are now common in psychological research. In this paper, we present our experience of conducting a large-scale psychophysiological (i.e., studying the relationship between physiological and psychological processes) study using our web application, “UnnCyberpsy,” for data collection and processing. UnnCyberpsy was developed using the PHP programming environment and “CodeIgniter” microframework (version 4.0) and provides several key features, such as the ability to schedule appointments for equipment collection, complete testing steps based on a branched algorithm, and store and preprocess data. Each testing step is pre-programmed into the system, and participants can complete the testing process independently using their personal devices. The data is collected, pre-processed, and stored automatically, and after the experiment is complete, all participant data is checked and saved. By utilizing UnnCyberpsy, we have significantly reduced data loss, increased participant turnout by 30%, and significantly increased the speed of data collection, which is now limited only by the number of potential participants and equipment kits. Our experience highlights the potential benefits of online applications as a convenient and efficient tool for data collection and research facilitation for both researchers and participants.