This thesis explores the simulated integration of cognitive augmentation (CA) and augmented reality (AR) in deception detection within negotiation contexts. It assesses how AR visualizations of deception probabilities impact decision-making confidence and user acceptance. The study reveals that while visualization methods alone do not significantly alter confidence levels, a strong positive correlation exists between users' comfort with CA technologies and their decision-making confidence. This underscores the importance of user-centric design and familiarity with technology for effective CA implementations. The research also addresses public perceptions and ethical considerations, suggesting cautious optimism toward these technologies in high-stakes environments. Recommendations include enhancing algorithm accuracy, technical transparency, expanding interface designs, and developing ethical frameworks to support technology adoption.