International Journal of Science, Engineering and TechnologyAuthors: Mrinmoy Roy, Shivanand Pawar
Abstract: As Artificial Intelligence (AI) increasingly integrates into professional environments, understanding its psychological impact on human collaborators becomes crucial. This study investigates the emerging paradigm of Human-AI Ensemblement—the synergistic interaction between human professionals and AI systems—in corporate decision-making contexts. Conducted in Bangalore, India’s technology hub, the study employs a true experimental design to evaluate cognitive load, emotional adaptability, trust in AI, and decision confidence across three task environments: human-only, semi-AI, and full-AI collaboration. Fifteen mid-level corporate tech professionals participated in a pilot experiment using validated psychological tools (NASA-TLX, PANAS, Trust in AI scales). Results revealed significant differences in cognitive load and decision confidence across groups, with the full-AI group demonstrating lower cognitive strain and higher confidence. Correlational analyses further indicated strong positive associations between trust in AI and both performance accuracy and decision assurance. These findings underscore the need for psychological preparedness alongside technical AI training. The study lays groundwork for scalable research and practical frameworks in workforce development, emphasizing emotionally intelligent, cognitively adaptive, and trust-calibrated human-AI teaming.
DOI: https://doi.org/10.5281/zenodo.20184586
