Previous research suggests that trust in technology and emotions are related and could affect the adoption of technology as well as neurophysiology, which have shown significant correlation between trust and distrust in adoption of technologies. Therefore, this study focuses on exploring the relationship between trust in Google Assistant and user’s integral emotions, and, finding the correlation between neurophysiological response during low and high trust decision to use human-like technologies. Data was gathered among 10 participants, during a two conditions within-subjects experiment customized as a game “Who Wants To Be a Millionaire”. The game included 15 difficult and simple questions for each condition, where in condition 1, Google Assistant is able to assist and in condition 2, Google Assistant is not able to assist. Then, their emotion and trust levels between sessions were measured. The findings showed that perceived technology usefulness, mediates and moderates the relationship between participants trust in human-like technology (Google Assistant) and emotional experiences, and consequently, technology adoption. Additional neurophysiological measurements indicated significant differences for low and high trust in Google Assistant decision trials. The study showed that there is a significant relationship between integral emotion and trust, similar to the relationship between technology perceived usefulness and trust. Furthermore, there is also a statistically significant difference between neurophysiological response during low and high trust decision to use human-like technology.