This paper proposes measuring ERP mindfulness -a self-regulatory trait that mitigates resistance and enhances ERP usage by integrating eye-tracking technology to objectively measure mindfulness behavior. We first assess ERP mindfulness by conducting self-reported surveys and then propose extending it with a mixed-method approach to validate mindfulness traits through behavioral data. By correlating eye-tracking metrics with survey responses, we aim to demonstrate that mindfulness is not only a self-reported trait but also observable in how users engage with ERP interfaces. In a pilot study, we identified five high-mindfulness participants and tracked their gaze behavior during a financial assessment task in SAP. The next step is to collect more data and compare their eye movement patterns with low-mindfulness participants to determine how mindfulness influences ERP task performance. This study bridges theoretical insights from mindfulness literature with practical advancements in neuroIS methodologies, offering a robust framework for understanding ERP adoption challenges.