Cited by 347Human-Automation Interaction and SafetyTransportation and Mobility InnovationsAutonomous Vehicle Technology and Safety

The DOI matches its Crossref record; 118 of the 123 references it cites were found in a registry or an index; 79 of the 224 sources its claims cite were checked for support.

Public acceptance and perception of autonomous vehicles: a comprehensive review

Open access
Othman, Kareem·2021·AI and Ethics

Abstract

Autonomous vehicles (AVs) or self-driving cars have the potential to provide many benefits such as improving mobility and reducing the energy and emissions consumed, travel time, and vehicle ownership.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review synthesizes prior research on how the public views and accepts autonomous vehicles, with emphasis on safety, ethics, liability, regulation, and the COVID-19 pandemic. It concludes that perceived safety and trust are central to adoption, that acceptance varies by demographics and prior experience, and that pandemic conditions may have made attitudes more favorable.

Key findings

  • Safety dominates adoption concerns: in a 467-person U.S. survey, 82% ranked safety as the most important factor, 12% chose laws, and 6% chose cost; 74% did not trust AVs or think they outperform human drivers, and 62.5% would wait more than two years before buying. Other surveys reported high safety concern—92% about poor weather and pedestrian interaction, 69% about the AV system, 76% across 109 countries, and 68% in Australia.
  • Liability and regulation are major barriers: 72% were uncomfortable being liable for an AV accident, 10% were comfortable, and 18% were neutral; 80% thought a special license should be required, while 40% said laws affect their purchase desire and 50% were neutral. In another survey, about 60% believed they should not be liable, 14% believed they should be, 71% assigned liability to manufacturers, and 22% to insurers; liability concern was 60%, 56%, 84%, and 64% across cited surveys.
  • Ethical preferences are mixed and context-dependent: the Moral Machine gathered millions of respondents from 233 countries and 40 million decisions in ten languages, finding preferences for sparing humans over animals, more lives, and younger lives, with regional clusters. Bonnefon et al. found 76% preferred a utilitarian crash algorithm, but respondents were more likely to buy a non-utilitarian vehicle; Hohenberger found rejection of self-focused and utilitarian settings, with law-based or random choices preferred; Frison et al. found only 16% would sacrifice pedestrians to save themselves, while Faulhaber et al. found almost half would sacrifice themselves to save one other road user.
  • Acceptance differs by experience, income, age, gender, education, and pandemic context: in France, 73% of those with prior AV experience preferred AV trips versus 55% without; low-income-country respondents were more positive than high-income ones (40%, 20%, and 23% concerned in high-, medium-, and low-income countries). Younger and male respondents were generally more positive; 19% of males versus 12.4% of females were interested in fully AVs, and 71% of highly educated versus 52% of less educated respondents preferred AVs. During COVID-19, a 1,003-person U.S. survey found 86% would ride an AV if given the chance, 66% would consider regular use, and 82% saw AVs as the future, compared with an earlier PAVE survey where 48% said they would never consider an AV.

Methods

  • Design: narrative comprehensive review of prior studies on public acceptance and perception of AVs, organized around safety, ethics, liability and regulation, and pandemic implications.
  • Data/sample: synthesizes quantitative surveys, simulator studies, social-media sentiment analysis, ethical-decision experiments, accident summaries, and economic/cost analyses from multiple countries; no new primary data were collected.
  • Analysis: qualitative synthesis and descriptive comparison of reported percentages, trends, tables, and figures, including accident counts, ethical approaches, cost comparisons, and demographic patterns.

Limitations

  • The paper does not present a formal limitations section, but it identifies gaps: few studies examine the impact of AV accidents on public attitudes, liability acceptance, truck-driver and fleet-operator views, and disabled users’ acceptance; it also notes that ethical decision-making lacks consensus and that surveys rely on respondents’ imagination because fully autonomous vehicles are not widely available.
  • Evident from the text: the review lacks a stated systematic search strategy or inclusion criteria, relies heavily on self-reported survey data and hypothetical scenarios, and its 2021 publication date limits coverage of later AV developments and post-pandemic evidence.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1007/s43681-021-00041-8

Cites

118 of 118 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

81 Own interpretation · 69 Sources not found · 42 No full text of the sources · 33 Partly supported · 25 No basis given · 23 Couldn’t confirm · 15 Supported · 6 Not checked yet · 5 Own result · 3 Not supported · 3 Own method · 1 Supported so far · accuracy not yet measured

Verify all 3 references — free account

Show all 120 claims

  • Probably not a substantial claim. 101
  • It may state two separate claims as one. 118
  • The quote only partly states this claim. 1
186 of 186
  • The paper relies on this without support.

    AV accuracy cannot be achieved relying on a single sensor.

    “this accuracy cannot be achieved relying on a single sensor.”
  • The paper relies on this without support.

    AV image processing algorithms are extremely complex and require onboard power and lightweight, low-consumption hardware.

    “The image processing algorithms required for an AV to operate safely are extremely complex. Additionally, AVs should be equipped with the required power to process images on-board so that the vehicle can react to the surrounding world ad avoid objects.”
  • The paper relies on this without support.

    People will not use a vehicle that might sacrifice themselves in a life-or-death dilemma.

    “as people will not use a vehicle that might sacrifice themselves in a life-or-death dilemma.”
  • The authors state this as an assumption.

    It is not possible to exempt the driver from liability at the moment.

    “As a result, it is possible to assume that it is not possible to exempt the driver from the liability at the moment.”
  • The paper relies on this without support.

    Public acceptance of autonomous vehicles is necessary for their adoption.

    “As discussed in the previous sections, there are many factors that influence the public acceptance of AVs’ technology and might push people from adopting this technology.”
  • The paper relies on this without support.

    Less attention has been paid to public acceptance and perception of AVs than to their implications, benefits, technological development, and challenges.

    “While AVs are often discussed in regard to their implications, benefits, technological development, and technological challenges, less attention has been paid to the public acceptance and perception of AVs.”
  • The paper relies on this without support.

    Highly or fully autonomous and connected vehicles are not currently available on the market.

    “because highly or fully autonomous and connected vehicles are not currently available on the market”
  • The paper relies on this without support.

    Previous survey respondents' answers rely on their imagination of how AVs will operate in the future.

    “results of the previous surveys rely on the imagination of the respondents regarding the operation of AVs in the future”
  • The paper relies on this without support.

    The legal sector is following the development of AVs instead of taking the lead.

    “Apparently, the legal sector is following the development of AVs instead of taking the lead.”
9 of 9

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Show all 123 references

Research works printed but not linked: 12

  1. Othman, K.: Cities on the era of autonomous vehicles: a comparison between conventional vehicles and autonomous vehicles. 2020. In: The 3rd international conference on "Future of Smart Cities (FSC)" in collaboration with Xiamen University Malaysia, From 14th to 15th of November 2020
  2. Casley, L., Jardim, A., Quartulli, A.: A Study of Public Acceptance of Autonomous Cars Interactive Qualifying Project. Worcester Polytechnic Institute, Worcester (2014)
  3. Obrecht, M., Knez, M., Sinko, S.: Analysis of public opinion on autonomous vehicles. In: 12th International Conference on Challenges of Europe: Innovative Responses for Resilient Growth and Competitiveness at: Bol (2017)
  4. Associated Press. Tesla driver killed in autopilot crash ‘was watching Harry Potter’. The New York Post (2017). https://nypost.com/2016/07/02/tesla-driver-killed-in-autopilot-crash-was-watching-harry-potter/
  5. Luo, R.C., Kay, M.G.: Data fusion and sensor integration: state-of-the-art 1990s. In: Abidi, M., Gonzalez, R. (eds.) Data Fusion in Robotics and Machine Intelligence, pp. 7–135. Academic Press, San Diego (1992)
  6. Welch, G., Bishop, G.: Course 8: an Introduction to the Kalman filter’, ACM SIGGRAPH (2001)
  7. Li, X., Xu, Q., Chan, C., Li, B., Chen, W., Song, X.: A hybrid intelligent multi-sensor positioning methodology for reliable vehicle navigation. Math. Probl. Eng. 176947, 13 (2015)
  8. Bonnefon, J.-F., Shariff, A., Rahwan, I.: The social dilemma of autonomous vehicles. Science 352(6293), 1573–1576 (2016) · DOI · Paper page
  9. Hohenberger, C.: Do ethical defaults cost lives? The effect of defaults on people's choice for ethical principles in automated cars. In: Presented at the International Conference on Traffic and Transport Psychology. 2016. Brisbane, Australia, 2–5 August 2016
  10. Asimov, I. (ed.): Robot. Gnome Press, New York (1950)
  11. Asimov, I.: Runaround. Astound. Sci. Fict. 29(1), 94–103 (1942)
  12. Russell, S., Norvig, P. (eds.): Artificial Intelligence: A Modern Approach. Pearson Education, Malaysia (2016)

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Metadata

Authors
Othman, K.
Affiliations
Cairo University (EG)
Corresponding author
Othman, Kareem
Venue
AI and Ethics
Published
2021-02-26
Volume
1
Issue
3
Pages
355-387
ISSN
  • 2730-5953 (ISSN-L)
  • 2730-5961
OpenAlex
W3134026309
Cited by
347
References
123
Citations by year
2026: 67 · 2025: 76 · 2024: 73 · 2023: 79 · 2022: 39 · 2021: 13
FWCI
7.99
Type
journal article
Language
en
Open access
Locations
  • AI and Ethics (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Social Sciences › Transportation › Transportation and Mobility Innovations
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
autonomous vehicles, public acceptance, public perception, perceived safety, ethics of autonomous vehicles, liability, transport regulation, COVID-19 pandemic, technology adoption

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