This study compares wrist-worn wearables and palm-based sensors for electrodermal activity (EDA) measurement in automated driving scenarios. Data were collected using the Empatica EmbracePlus smartwatch and EdaMove4 device during simulated driving experiences designed to elicit emotional responses like surprise and discomfort. Results indicate that the EdaMove4 provided higher-quality data with clearer skin conductance responses (SCRs) and levels (SCLs) than the smartwatch, which was more affected by motion artifacts and lower signal amplitude. For some participants, the smartwatch data was classified as entirely invalid due to poor sensor placement. Despite limitations from a reduced participant pool caused by data quality issues, it highlights the trade-off between the convenience of wrist-worn devices and the reliability of palm-based sensors, contributing to research on wearable biosensors in dynamic, real-world settings. Further research is needed to improve data quality and validate findings with larger samples.