Abstract
The future sees a move towards highly automated vehicles (HAV). Thus, the aim for many developers is to enhance proficiency by amplifying safety-induced HAV operation. However, there are long-term effects and challenges to overcome. Such as understanding users' manual operation skills/abilities (MOS/A) and automation operation skills/abilities (AOS/A). For example, effects on performance and skills atrophy due to automation-induced complacency, etc. As technology is unruly and prone to error, humans by law must be situationally aware and active participants. Thus, their MOS/A are required to be impeccable. In this paper, the aim is to comprehend human-automation skillfulness (HAS) over long-term interaction. Therefore, we explored knowledge levels from N=20 AV experts. As a result, we relate transformative views on long-term effects and HAS.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350327816 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 - Cape Town, South Africa Duration: 16 Nov 2023 → 17 Nov 2023 |
Publication series
| Name | International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 16/11/23 → 17/11/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Automated Vehicles
- Deskilling
- Human-Automation Skilfulness (HAS)
- Long-term effects
- Reskilling
- Upskilling
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