TRUSTONOMY - Pilot 1 (ITS) Dataset

<p>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<br> examined 5 of 6 Trustonomy pillars. The following dataset was compressed in order to reflect the data type especially for:<br> 1. HMI (SO2): verification of HMI time-based usability assessment methodology, data collection for ergonomic assessment,<br> 2. DT (SO4): conducting research on the suitability of the newly developed driver training course for human drivers of ADS in passenger cars,<br> 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 &amp; 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.<br> 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.</p> <p>The results are presented in .csv file named <em>&rdquo;Trustonomy results_ P1 ITS_open access&rdquo;</em>. They should<br> be analysed with a particular emphasis on fields description provided in another .csv file <em>&ldquo;Trustonomy<br> results_ P1 ITS_open access_labels&rdquo;</em>.</p>