Stakeholders’ Trust in Automated Driving
Järvi, Jesse (2023-10-12)
Stakeholders’ Trust in Automated Driving
Järvi, Jesse
(12.10.2023)
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
avoin
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe20231013140189
https://urn.fi/URN:NBN:fi-fe20231013140189
Tiivistelmä
As automated driving continues to evolve, trust plays a pivotal role in its adoption
and acceptance in society. This thesis aims to explore different stakeholders’ trust
in automated driving systems by examining factors that influence said trust. A
questionnaire was developed in order to gather recent data on trust in automated
driving systems and it was used to analyze factors that influence trust in automated
driving. The questionnaire was also used to identify possible methods that could
improve trust.
The questionnaire in this thesis also identifies which types of stakeholders would
trust automated driving, for example by examining familiarity. Furthermore, the
study addresses the issue of vulnerable road users reasons for distrust in automated
driving. Identifying these issues in such fields as ethics, legislation, or safety can
lead to enhancement of development strategies, which in turn would enhance stakeholders’ trust in automated driving.
This thesis provides valuable insights into the relationship between trust, technology
adoption, and user apprehensions on automated driving, with a goal of improving
the development considerations in the rapidly evolving transportation technology.
and acceptance in society. This thesis aims to explore different stakeholders’ trust
in automated driving systems by examining factors that influence said trust. A
questionnaire was developed in order to gather recent data on trust in automated
driving systems and it was used to analyze factors that influence trust in automated
driving. The questionnaire was also used to identify possible methods that could
improve trust.
The questionnaire in this thesis also identifies which types of stakeholders would
trust automated driving, for example by examining familiarity. Furthermore, the
study addresses the issue of vulnerable road users reasons for distrust in automated
driving. Identifying these issues in such fields as ethics, legislation, or safety can
lead to enhancement of development strategies, which in turn would enhance stakeholders’ trust in automated driving.
This thesis provides valuable insights into the relationship between trust, technology
adoption, and user apprehensions on automated driving, with a goal of improving
the development considerations in the rapidly evolving transportation technology.