This document provides an overview of Nilo Sarraf's PhD dissertation which examines how emotions impact search performance. Sarraf proposes including human emotion data from wearable devices as an additional input to artificial neural networks to improve search results based on neurological feedback. His dissertation aims to determine the effects of different emotional dimensions like valence and arousal on search effectiveness and efficiency. Sarraf conducted experiments using the Emotiv EEG headset to measure brain activity during searches under neutral, pleasant and unpleasant emotional states induced by IAPS pictures. The results will contribute to developing "smart emotional neuro search engines" that can improve search results based on reading a user's brain waves through wearable devices.