The following dataset contain information collected during the project TRUSTONOMY: Building Acceptance and Trust in Autonomous Mobility (H2020, MG 3.3 Grant no. 815003, 2018-2022). It presents the results of Pilaot 1 conducted by Motor Transport Institute (ITS) in Warsaw, Poland. The experiment was conducted on a high class passenger car simulator (automation level L4) and it examined 5 of 6 Trustonomy pillars. The following dataset was compressed in order to reflect the data type especially for: 1. HMI (SO2): verification of HMI time-based usability assessment methodology, data collection for ergonomic assessment, 2. DT (SO4): conducting research on the suitability of the newly developed driver training course for human drivers of ADS in passenger cars, 3. DIPA (SO5): data sample preparation, which will be used in tuning of DIPA model parameters and evaluation of the DIPA algorithm, DSM (SO1) and Trust & acceptance (SO6) pillars are extensively described in P3 (SCANIA) and P4 ULEEDS), therefore this dataset cannot be solely used to draw conclusions for those domains. The dataset contains results collected only for 14 randomly chosen participants, while the research group was composed of 86 people. Therefore, the sample cannot be used to draw any conclusions. The results are presented in .csv file named ”Trustonomy results_ P1 ITS_open access”. They should be analysed with a particular emphasis on fields description provided in another .csv file “Trustonomy results_ P1 ITS_open access_labels”.