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Perceived Risks toward In-Vehicle Infotainment Data Services on Intelligent Connected Vehicles

Authors: Zhiyuan Yu 0002; Kexin Cai;

Perceived Risks toward In-Vehicle Infotainment Data Services on Intelligent Connected Vehicles

Abstract

With the evolution of Internet of Vehicles (IoV) and intelligent transportation systems, intelligent connected vehicles (ICV) are becoming the trend in automobile industry worldwide. Assisted by road-side infrastructure and vehicle-mounted sensors, in-vehicle infotainment (IVI) data services are gradually growing more popular with drivers and passengers. In particular, IVI data services are not only restricted to internal cabin, but also are being extended to the external environment (e.g., workplace and home). These data categories include personal demographics/bioinformatics, usage habits, travel patterns, real-time location, audio, video, etc., which in turn induce perceived risk concerns around the data privacy and security of occupants. In this paper, we collect answers from 500 valid respondents and then construct a structural equation model to investigate key factors influencing users’ attitudes and behavioral intention (BI) towards IVI data services. Therein, trust is considered to play a vital role in attitude, and is assumed to be affected by perceived security risk (PSR), perceived privacy risk (PPR), and perceived performance risk (PFR). The results show that PSR and PPR have negative effects on user trust. The data breache anxiety positively influences PPR, which explain 75% of variance. In addition, trust can directly affect attitude and BI, which explain 28.6% of variance in attitudes towards IVI data services. Respondents score higher on average for attitude (Mean = 5.762, SD = 0.89) even where perceived risks exist. BI is influenced by the factors of PSR, PFR, trust, and attitude. Through this study, we intend to reveal the relationships among the factors of perceived risk, trust, attitude, and BI towards IVI data services, then provide guidelines for vehicular data governance in order to consolidate user trust for a safer mobility ecosystem.

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Keywords

TA168, perceived privacy and security risks, data services; intelligent connected vehicles; in-vehicle infotainment; perceived privacy and security risks; trust, in-vehicle infotainment, T1-995, trust, intelligent connected vehicles, Technology (General), data services, Systems engineering

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
gold