PAsCAL D3.4 Cross Skill® - a self-assessment tool adapted to PAsCAL needs

The PAsCAL project aims to improve the understanding of the implications of connected and automated vehicles (CAVs) on society. It addresses important issues relating to the role of humans in this evolution, ranging from real-time driving control to long-term training needs for jobs, in particular appropriate interactions of the autonomous vehicles with different road users including disabled people and non-drivers.

To fulfil these purposes, PAsCAL project has conducted surveys (e.g., online, face-to-face interviews) on public acceptance, simulated driving scenarios and training and education. To validate the findings, PAsCAL carried out 5 real-world pilots which cover different situations including different vehicles, user groups, levels of automation and driving experiences.

All the collected data were analysed and brought together in a systematic and detailed analysis that assesses the potential impacts of various levels of user acceptance on CAVs.

All the new knowledge is incorporated into the "Guide2Autonomy", one of the main deliverables of PAsCAL, which will be available online for all relevant stakeholders and whose the aim is to support decision makers in considering the pros and cons of future CAV solutions.

In the framework of WP3, several ways of assessing CAV public acceptance were envisioned, including surveys and self-assessment tool. This deliverable is specifically focusing on the work carried out in task 3.5 for the design and implementation of a self-assessment tool named Cross Skill® that complements the surveys conducted in the previous tasks of WP3.

The aim of this tool is to allow users to self-declare their expertise about CAV related thematic areas resulting to an estimation of their CAV expertise level. We consider that this approach can help users increase their CAV awareness and, by extension, to positively influence CAV public acceptance.

The advantages of using Cross Skill® are the following:
1) It uses a specific rating format and algorithm, that allows to reduce common inaccuracy bias of self-assessment (under or overestimation).

2) It includes an automatic self-assessment generator, so the costs to administer and deliver the assessment is very small (a few clicks are sufficient to upload contents and generate questions).

The deliverable presents some technical aspects of the tool.

In the frame of the PAsCAL project, the self-assessment questionnaire was generated thanks to the input coming from a workshop involving members from WP3 and 8 who defined a list of CAV acceptance dimensions and key thematic areas.

Following the self-assessment sequence made by a user, a mapping between each answer and their corresponding expertise value (e.g., Novice or Expert) is done.

In addition to the CAV expertise level, the deliverable also addresses the opportunity that the PAsCAL consortium seized during the G2A development (WP8). This includes to improve the recommendations findability, by proposing to leverage the results of this self-assessment to curate a personalised list of recommendations that fit the actual profile of the user.

The deployed instance of the self-assessment tool and recommender for the G2A, free of charge, is accessible at:

https://recommender.pascal-project.eu