People with more misconceptions about automated vehicles might be more positive toward them

Liu, Peng; Du, Manqing; Xu, Zhijie; Chu, Yueying

doi:10.1016/j.trf.2022.04.010

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…Demographic factors also played an important role in the attitude of people, towards AI, with the report highlighting that male and younger participants were more positive towards AI. Higher corporate distrust leads to negative attitudes towards AI, while higher general trust leads to positive views of the bene ts of AI [19]. Personal innovativeness and knowledge in information technology consistently shows positive attitudes towards AI [20].…”

Section: Introductionmentioning

confidence: 94%

The Mediating Effect of Dark Future between Personality Traits and Fear of Artificial Intelligence in Arab Young Adults

Hemade,

Hallit,

Malaeb

et al. 2024

Preprint

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Background Fear of Autonomous Robots and Artificial Intelligence is a novel concept introduced to measure how fearful individuals are about Artificial Intelligence and autonomous robots. This study aimed to measure the mediating effect of dark future, a measure of future anxiety, between personality traits and Fear of Autonomous Robots and Artificial Intelligence. Methods Using the snowball sampling technique, participants (n = 1839) were Arab adults who completed the Fear of Autonomous Robots and Artificial Intelligence Scale, Arabic Big Five Personality Inventory, and the Dark Future Scale. Results The results of the mediation analysis showed that dark future mediated the association between extroversion/neuroticism/agreeableness and fear of Artificial Intelligence. Higher extroversion was significantly associated with less dark future, whereas more dark future was significantly associated with higher Fear of Autonomous Robots and Artificial Intelligence (FARAI) scores. Extroversion was not directly associated with FARAI scores. Higher neuroticism and agreeableness were significantly associated with more dark future, whereas more dark future was significantly associated with higher FARAI scores. Neuroticism and agreeableness were significantly directly associated with higher FARAI scores. Conclusion This study suggests that the relationship between certain personality traits and Fear of Autonomous Robots and Artificial Intelligence can be explained by evaluating one’s Dark Future. This shall help improve research on attitudes towards Artificial Intelligence and also have clinical implications in treating cases of Artificial Intelligence fear.

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Section: Introductionmentioning

confidence: 94%

The Mediating Effect of Dark Future between Personality Traits and Fear of Artificial Intelligence in Arab Young Adults

Hemade,

Hallit,

Malaeb

et al. 2024

Preprint

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show abstract

“…Approximately one third of individuals harbor misconceptions regarding the availability and operational capability of AVs [ 18 ]. Liu et al [ 19 ] postulated that those who erroneously believe that a mature business infrastructure has been established around AVs typically exhibit a more favorable attitude towards their use. Understanding how the perceived operational competence of AV manufacturers influences willingness to share the road with AVs requires insights into the underlying mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Does non-motorists’ safety perception of autonomous vehicles vary across opinion change stemming from crash occurrence? Investigating perceptions using fixed and random parameter ordered logit models

Ogungbire,

Pulugurtha

2023

Heliyon

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“…The worst attitude has been measured in Cyprus, where 77% of the population was against travelling in an autonomous vehicle. Some other countries such as China and Japan, however, regard the technology as a sensible advancement (Continental 2022; Liu et al 2022;Fujiwara et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Perceived Risks of Autonomous Vehicles

Lazányi

2023

Risks

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Whilst self-driving cars are not vehicles of the future, but technology that is already available, their acceptance and implementation is heavily limited. People consider them as technology that has a lot of risk—be it technological, IT related, or even ethical. The aim of the present paper is to enrich the existing body of literature of risk perception—and in line with this technology adaption—regarding autonomous vehicles and how they are influenced by demographic and exogenous cultural variables. Whilst the effect of cultural variables on risk perception has already been explored by several researchers, the present paper shall be considered an expansion of those works, striving to address a particular segment of risk perception—the specifics of cultural influence on risk perception regarding autonomous vehicles. Whilst risk perception is of a multifaceted nature, the current paper does not aim to provide a comprehensive understanding of the complex phenomenon under scrutiny, but intends to highlight the potentiality of cultural influences besides the often-explored individual variables when it comes to risk perception and the consequent decisions and indicates that the cultural dimensions of Geert Hofstede use to create a better understanding of perceived risks related to self-driving cars.

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People with more misconceptions about automated vehicles might be more positive toward them

Cited by 16 publications

References 45 publications

The Mediating Effect of Dark Future between Personality Traits and Fear of Artificial Intelligence in Arab Young Adults

The Mediating Effect of Dark Future between Personality Traits and Fear of Artificial Intelligence in Arab Young Adults

Does non-motorists’ safety perception of autonomous vehicles vary across opinion change stemming from crash occurrence? Investigating perceptions using fixed and random parameter ordered logit models

Perceived Risks of Autonomous Vehicles

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