Keywords
safety applications, road safety, collision avoidance, ADAS, driver perceptions, vehicle technology
This article is included in the Research Synergy Foundation gateway.
safety applications, road safety, collision avoidance, ADAS, driver perceptions, vehicle technology
Road safety is a collective responsibility involving public and private corporations and civil society1. In recent years, automobile manufacturers have provided in-vehicle or pre-installed Advanced Driver Assistance Systems (ADAS) and parking control2 to support three types of driving tasks: navigation, manoeuvring, and vehicle stabilisation. These systems were typically developed for the global market without considering cultural differentiation, influencing drivers’ attitudes and acceptance3. The perception of new technology will naturally vary depending on locality, and it is primarily dictated by individual-level factors such as age, experience and knowledge of the technology4. Hence, it is crucial to evaluate the response of individuals from specific cultural backgrounds5. To the best of our knowledge, a study to better understand Malaysian licensed driver’s general acceptance of ADAS technology has yet to be carried out. The technology currently being offered is vehicle-resident systems, and we believe the knowledge gap regarding these systems is worth filling.
Hence, this paper reports a survey to assess whether drivers are willing to adopt and use ADAS technology. Our specific objectives were to explore the perceived importance and benefits associated with the technology and the influence of driving behaviour on the willingness of drivers to adopt the technology.
In this study, we invited 1000 individuals to participate as respondents using convenience sampling, a non-probability sampling often associated with this type of study. The authors of this survey, who met the eligibility criteria, were excluded as potential participants.
The survey was accessible to the respondent who received an email invitation. We contacted individuals with email addresses who might contribute to our survey. Participants and colleagues were encouraged to recommend additional potential survey participants. The survey was not promoted online.
The survey was administered by inviting respondents to fill out an online survey investigating their opinions about transportation and ADAS technology. A link to the Google Form survey was included in the invitation emails. Invitations were sent out for a duration of one month, starting 20th March 2020. Respondents were encouraged to provide feedback in a single session to avoid distractions. After three days, respondents who had not responded were sent a reminder email. A second reminder was sent if no response was received within seven days. If no response was received, the respondent was deemed disinterested. Responses could be modified before submission but respondents could not re-enter the form using the same email address after it was submitted. There were no incentives offered to respondents for completing the survey.
The survey instrument was adapted from 6 to tap factors affecting acceptance of ADAS technology. The survey instrument was designed to assess the acceptance rate of Malaysian licensed drivers towards ADAS technology.
The participants had to answer 20 closed-ended or rating-scale questions. The questions were divided into three sections: Section A, Section B, and Section C. First, respondents answered demographic and driving-related questions. Next, respondents were asked about their views of the advantages and challenges of utilising ADAS technology. Finally, respondents were queried on vehicle decision-making and technology use. To prevent distractions and higher turnover, they were also encouraged to keep survey sessions to 20 minutes or less. Respondents who rated three or higher for rating-based questions were classified as “ADAS accepters.”
This case study was not intended to make statistical inferences concerning the wider population. Respondents who were Malaysian licensed drivers had higher merit than others. The underlying data from this study is accessible from Abdul Razak et al.,7. We used descriptive statistics to analyse the ratings given by the respondents on each item. Microsoft Excel (Microsoft Excel, RRID: SCR_016137) was used for this purpose.
The Technology Transfer Office of the Multimedia University ethically approved this research. (Approval Number: EA0562021). In the invitation email, the survey participants were informed that (i) any information given was voluntary; (ii) the researchers were not accountable or responsible for any loss arising from the use of the information provided; (iii) the survey was expected to take 20 minutes; (iv) any identifying information acquired in connection with this survey would remain confidential; and (v) the findings may be submitted for publication, and the anonymised dataset would be made publicly available in a data repository. The original dataset was password-protected in a Google Drive folder.
Reporting Qualitative Research (SPQR)8 were adhered to to report the survey outcomes.
Out of the invited 1000 individuals, 81.80% completed the survey. Out of these respondents, 92.42% were licensed drivers. The majority of respondents were 18 to 25 years old, including newly licenced drivers, students, and employees. For daily tasks or routines, these responders usually drove their own or a family member’s vehicle. The least represented group was those in the 55 years old and above range. About 45% of the respondents were adults in the 26 years and above age range. The distribution of male and female respondents was almost similar, marginally favouring males (Table 1). Over half of the respondents resided in urban and suburban areas.
Age group (years) | Gender | Own Malaysia driving license | ||
---|---|---|---|---|
Male | Female | Male | Female | |
18–25 | 291 | 157 | 269 | 134 |
26–34 | 78 | 72 | 75 | 65 |
35–54 | 62 | 94 | 60 | 90 |
55 and above | 36 | 28 | 35 | 28 |
Total | 467 (57.09%) | 351 (42.91%) | 439 (58.10%) | 317 (41.93%) |
We found that 10% of respondents had not driven since receiving their driving licence. Hence their driving behaviour was not analysed. Of those who drove, 50% resided in urban areas, 54.44% of respondents reported travelling less than 400 km daily for different reasons, while 44% claimed involvement in accidents previously (Table 2). However, of those involved in accidents, 58.49% were only involved in minor accidents.
Accidents involvement (years ago) | Residential area | ||
---|---|---|---|
Urban | Suburban | Rural | |
<5 | 95 | 63 | 36 |
5–10 | 27 | 12 | 11 |
11–15 | 7 | 6 | 5 |
16–20 | 10 | 5 | 3 |
>20 | 9 | 4 | 1 |
0 (never) | 184 | 94 | 91 |
The impact of the accident was further investigated. We asked if the accident caused major or minor damage to the vehicle involved and if the driver or passenger required medical attention. It could also have been a combination of any of these three factors. The respondents stated that 23.62% experienced major damage, which cost them more than RM1000 to repair their vehicles, whereas 53.27% were involved in minor accidents. Around 9% of the respondents were involved in more than one accident, which resulted in experiencing more than one of the factors mentioned earlier.
Respondents were categorised as non-accepters, fence-sitters, and accepters based on their responses to a willingness to have in-vehicle systems providing driving assistance. Almost 82% of respondents were receptive to the technology (accepters), while 16.99% of respondents were non-receptive. Only 1.03% were fence-sitters. The accepters were younger drivers who were more receptive to new technology (see Table 3). Nevertheless, older drivers who had been involved in accidents previously were also receptive to the technology. Non-accepters required more information on the benefits of the technology and had a wait-and-see attitude before accepting the technology.
Respondents were further requested to rate safety applications, which they perceived as crucial for their driving experience in terms of convenience, economy, and safety. This included self-driving systems, lane changing, automated braking, and collision avoidance, signal timing, or blind spot occupancy, as well as real-time information related to routes, congestion, and incidents as part of their driving experience. Figure 1 illustrates the importance, rated as extremely important, very important, moderately important, slightly important, and not important.
Of the respondents, 82.7% favoured having Advanced Driver Assistance Systems, which can assist driving. Nevertheless, 48.9% of the respondents would like to wait until the technology has been thoroughly tested and checked before using Advanced Driver Assistance Systems. They would also be more confident about embracing the technology if they could see their associates, i.e., people they know using it. A total of 18.9% also tended to wait until the latest product excitement had subsided before the technology was purchased and used. However, almost a quarter (24.3%) of the respondents preferred to be the first to buy and try the new technology. About 7.8% of the respondents were not sure of their purchasing decision behaviour. This may be attributed to influence from family members, where 68.7% of the respondents indicated that family members influence their vehicle purchasing decision. However, 76.8% of the respondents would be willing to use the technology if it was pre-installed by the vehicle manufacturers. The remaining respondents would either ignore, disable, or remove the technology from the vehicle. About half of the respondents were willing to add Advanced Driver Assistance Systems to their vehicles if the cost was less than RM400.
The respondents’ concerns and perceived benefits relating to the implementation of ADAS technology in personal vehicles can be categorised into three groups: driver behaviour, security or safety, technology implementation.
Driver behaviour relates to how the respondents react as drivers and how other drivers react. Of the respondents, 55% feared that over-reliance on technology or other diversions might make drivers less attentive. Drivers frequently depend on technology too much and don’t practice safe driving (e.g., maintain a safe distance from other vehicles). A total of 30% of respondents were worried about vehicle data security breaches allowing illegal activities and affecting their driving habits. Moreover, the electromagnetic activity of communication devices, such as those in the system, may endanger drivers’ health. Nevertheless, 15% of respondents were eager to adopt ADAS technology for a safer driving experience.
Generally, consumer perceptions vary depending on age, experience, and technology knowledge4. Our results complement the findings of earlier studies where drivers acceptance of ADAS technology was the main focus but different populations and cultures were examined such as the Czech Republic9, Finland10 and Indonesia11. This research found that 76.8% of drivers favoured ADAS technology, especially safety applications. This is higher than a similar study among Czech drivers, which reported that ADAS technology was desired by at least 50 % of the respondents9. However, the majority were only ready to utilise the technology when it was available and free. Individual variables like experience may also affect drivers’ adoption of the technology. This is supported by our analysis that found that ADAS technology’s safety advantages are less valued by drivers who do not experience road traffic accidents. However, 44% of drivers who have never been in an accident could be the future technology acceptors.
The study that investigated Finnish drivers focused on drivers who drive regularly and have purchased new cars with adaptive cruise control (ACC) and lane keeping assist (LKA). Another study among Jakarta drivers focused on drivers acceptance of the forward collision warning and lane departure warning11. However, this research looked at drivers’ acceptance of ADAS technology in general, dividing them into three categories: acceptors, fence-sitters, and non-acceptors. Most drivers are unaware that the technology is available in recent vehicle models. Thus, their contribution is unaffected by their present technology usage.
Moreover, to enhance the perceived self-risk and the importance of safety applications, communications with this group of drivers should discuss the prevalence of accidents. This group of drivers may respond to messages about the costs of even minor accidents. The advantages of using safety technology should be highlighted, including saving lives and avoiding serious injury. Regardless of the accuracy of these results, acceptance of the technology may shift upon viewing or hearing messages of possible problems with ADAS technology. Hence, the realistic goal for automotive manufacturers is to reach the majority of Malaysian drivers and thereby stimulate the development of ADAS technology to reduce the likelihood of road traffic accidents.
Communication strategies are often designed to overcome potential challenges. For instance, safety and security issues were reported by 33% percent of the respondents as very important. The respondents may think that the safety applications could be compromised, and related agencies should educate drivers about misconceptions with fact sheets, by using videos and exchanging expert opinions. Evidence and anecdotes from victims of traffic accidents or early technology users are also likely to be helpful.
Most participants in the survey (76.8%) mentioned they would use the safety application system or ADAS technology in a purchased or leased vehicle. Presumably, if the systems were introduced in fleets such as taxis, e-hailing services, and rental cars, the systems would likely be more common, giving consumers a chance to embrace technology.
To summarise, the research investigated Malaysian drivers’ expectations concerning ADAS technology. Those who have never been in a road accident may be less interested in the ADAS technology’s safety benefits. It is feasible to anticipate the market’s future by analysing driver acceptance of ADAS technology, particularly in countries with comparable cultural variety to Malaysia. Thus, ADAS technology should be assessed often to determine which systems have the most potential to improve driver safety.
This paper aimed to fill a gap in the literature by examining drivers’ views of Advanced Driver Assistance Systems (ADAS) in Malaysia. Prior research has concentrated on countries that are not comparable to Malaysia’s multi-cultural context. Driver acceptance of ADAS technology is gradual because there are limited interactions or connectivity between systems functionalities and drivers via human-machine interface in the vehicle context. Thus, if ADAS technology aims to improve driver’s safety, much research remains to be done.
Zenodo: Underlying data for ‘Driver perceptions on Advanced Driver Assistance Systems: A case study’, https://doi.org/10.5281/zenodo.55472227
This project contains the following underlying data:
i. V2V safety technology survey (responses).xlsx
ii. V2V safety technology survey (processed).xlsx
iii. V2V safety technology survey_GoogleForm.pdf
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Written informed consent for publication of the participants’ details was obtained from the participants.
S.F.A.R., S.Y., A.A., M.F.A.A., A.H.M.A, and M.S. comprehended the idea and contributed to the research article. All authors contributed to the writing, editing, and consent of the final manuscript.
The authors would like to thank everyone who has directly or indirectly contributed towards this research. We thank the anonymous reviewers for their constructive comments.
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
No
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
No
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Vehicular Communications, Machine Learning, Control Engineering
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |
---|---|
1 | |
Version 1 08 Nov 21 |
read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)