INDECS 21(4), 351-355, 2023 DOI 10.7906/indecs.21.4.4 Full text available in pdf and xml formats.

Received: 8th June 2023. Accepted: 23rd July 2023. Regular article

ABSTRACT

Reducing the negative emotions experienced in Self-Driving cars is key to increasing the number of users. To reduce anxiety, AI-based systems that measure the physiological response of passengers, mainly using biometric data, are used. In the future, the vehicle must be sufficiently emptical to reduce people’s distrust. The potential for hacking is still one of the main sources of anxiety about Self-Driving cars. To live with this difficulty, users need to be confronted with what machine learning means and accept that, contrary to expectations, Self-Driving cars cannot yet be 4 or 5 times safer than manual driving. To achieve the greater good – energy savings and lower emissions, efficient transport networks, greater use of digital infrastructure, safer and more usable public spaces, etc. – we need to be patient with Self-Driving vehicles.

KEY WORDS
self-driving cars, acceptance, trust, hacking

CLASSIFICATION

ACM:	J.4, K.4, H.1.1
APA:	4010
JEL:	O18, R41
PACS:	01.70. + w