Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction"

The dataset comprises five distinct folders, each corresponding to a specific chapter of the study. The first folder contains Scopus-derived data alongside analytical results that substantiate the figures presented in Chapter 1. The second folder mirrors the structure of the first, encompassing Scopus data and Python source code used to generate the visualizations featured in Chapter 2. The third folder consists of qualitative data obtained from semi-structured interviews, as detailed in Chapter 5, which explore factors influencing construction professionals’ trust in machine intelligence. The fourth folder includes quantitative data collected via a questionnaire survey, capturing respondents' assessments and levels of trust toward machine intelligence. Lastly, the fifth folder comprises the Unity3D model, experimental data (EEG, eye-tracking, and behavioral recordings), and analytical files (Python source code and SPSS files) supporting real-time trust estimation.