Recently, new methods for measuring and analyzing ERP brain wave data are required since the continued growth in such large and complex data collection in both brain research and medical science. In order to discover various patterns hidden in ERP data, it is necessary to pay attention to two types of peculiarities: temporal (time) and spatial (channel), from the potential and gradient standpoints. In this paper, we propose a novel approach of POM (peculiarity oriented mining) based multi-aspect ERP brain wave data analysis. We describe how to design cognitive experiments on investigating human computation mechanism with multiple difficulty levels for obtaining multi-ERP data, and how to analyze and visualize spatiotemporal peculiarities of such data. The experimental results show that all objectives we expect for the approach are achievable.