Self-driving technologies need the help of the public: A narrative review of the evidence
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866908401799266304 |
|---|---|
| author | Smith, Jonathan Khastgir, Siddartha |
| author_facet | Smith, Jonathan Khastgir, Siddartha |
| contents | If public trust is lost in a new technology early in its life cycle it can take much more time for the benefits of that technology to be realised. Eventually tens-of-millions of people will collectively have the power to determine self-driving technology success of failure driven by their perception of risk, data handling, safety, governance, accountability, benefits to their life and more. This paper reviews the evidence on safety critical technology covering trust, engagement, and acceptance. The paper takes a narrative review approach concluding with a scalable model for self-driving technology education and engagement. The paper find that if a mismatch between the publics perception and expectations about self driving systems emerge it can lead to misuse, disuse, or abuse of the system. Furthermore we find from the evidence that industrial experts often misunderstand what matters to the public, users, and stakeholders. However we find that engagement programmes that develop approaches to defining the right information at the right time, in the right format orientated around what matters to the public creates the potential for ever more sophisticated conversations, greater trust, and moving the public into a progressive more active role of critique and advocacy. This work has been undertaken as part of the Partners for Automated Vehicle Education (PAVE) United Kingdom programme. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_23472 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Self-driving technologies need the help of the public: A narrative review of the evidence Smith, Jonathan Khastgir, Siddartha Human-Computer Interaction K.4.0; K.4.1; K.4.2 If public trust is lost in a new technology early in its life cycle it can take much more time for the benefits of that technology to be realised. Eventually tens-of-millions of people will collectively have the power to determine self-driving technology success of failure driven by their perception of risk, data handling, safety, governance, accountability, benefits to their life and more. This paper reviews the evidence on safety critical technology covering trust, engagement, and acceptance. The paper takes a narrative review approach concluding with a scalable model for self-driving technology education and engagement. The paper find that if a mismatch between the publics perception and expectations about self driving systems emerge it can lead to misuse, disuse, or abuse of the system. Furthermore we find from the evidence that industrial experts often misunderstand what matters to the public, users, and stakeholders. However we find that engagement programmes that develop approaches to defining the right information at the right time, in the right format orientated around what matters to the public creates the potential for ever more sophisticated conversations, greater trust, and moving the public into a progressive more active role of critique and advocacy. This work has been undertaken as part of the Partners for Automated Vehicle Education (PAVE) United Kingdom programme. |
| title | Self-driving technologies need the help of the public: A narrative review of the evidence |
| topic | Human-Computer Interaction K.4.0; K.4.1; K.4.2 |
| url | https://arxiv.org/abs/2505.23472 |