Managing Negative Emotions Caused by Self-Driving
| Autor: | Dalma Zilahy, Gyula Mester |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Interdisciplinary Description of Complex Systems, Vol 21, Iss 4, Pp 351-355 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1334-4684 1334-4676 05624800 |
| DOI: | 10.7906/indecs.21.4.4 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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