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Managing Negative Emotions Caused by Self-Driving

Authors :
Dalma Zilahy
Gyula Mester
Source :
Interdisciplinary Description of Complex Systems, Vol 21, Iss 4, Pp 351-355 (2023)
Publication Year :
2023
Publisher :
Croatian Interdisciplinary Society, 2023.

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.

Details

Language :
English
ISSN :
13344684, 13344676, and 05624800
Volume :
21
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Interdisciplinary Description of Complex Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.0568216ded4349faa1f2e056248000e0
Document Type :
article
Full Text :
https://doi.org/10.7906/indecs.21.4.4