• The Journal of the Korea Contents Association
• /
• v.17 no.4
• /
• pp.237-246
• /
• 2017

Recently, with the attention of future vehicle technology, automobiles that are influenced by user experience(UX) are regarded as living space. However, the concept of term, definition, and constituent factors of driving experience have not been established so far. The purposes of this study are to define driving experience in terms of UX and to extract experience factors. We conducted the 18 drivers interviews and studied literature reviews. The collected interview data was analyzed by bottom-up method based on the grounded theory. And we reconstructed it through the top-down approach, based on the results of the literature review. As the result, the 'driving experience' is a concept that means all the emotions, perceptions, and cognitive outcomes on the basis of personal characteristics that drivers have in anticipation of the driving situation from the start to the destination Respectively. Nine factors that constitute driving experience were extracted by 'internal UI factors', 'environmental factors' and 'user related factors'.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.48
• /
• pp.145-152
• /
• 1998

Driving performance is characterized by many things such as driver's experience period, age, ability of information processing and reaction time of control devices and so forth. However, each factor of driving performance is needed to help and screen a poor driver for safe driving. In this paper, driving performance was estimated by reaction of manipulating brake, accelerator, steering wheel and speed. Subjects were grouped by experience of accident and age. Combinations of every group were analysed. For all the dependent variables, only steering wheel and speed were shown to have significant difference, which could be regarded as visual information of speed and direction were the important factors to drive safely. Especially for tile elderly, it is needed to enhance their ability of visual information processing that is to be decreased with aging. Therefore driving simulator to train and screen the poor driver should be studied.

• Journal of Auto-vehicle Safety Association
• /
• v.14 no.4
• /
• pp.70-76
• /
• 2022

This paper investigates the effects of age, gender, and situational factors on take-over performance in automated driving. The existing automated driving systems still consider a driver as a fallback-ready user who is receptive to take-over requests. Thus, we need to understand the impact of situations and human factors on take-over performance. 34 drivers drove on a simulated track, consisting of one baseline and four event scenarios. The data, including the brake reaction time and the standard deviation of lane position, and physiological data, including the heart rate and skin conductance, were collected. The analysis was performed using repeated-measures ANOVA. The results showed that there were significant age, gender, and situational differences in the takeover performance and mental workload. Findings from this study indicated that older drivers may face risks due to their degraded driving performance, and female drivers may have a negative experience on automated driving.

• Journal of Korean Society of Transportation
• /
• v.26 no.5
• /
• pp.195-204
• /
• 2008

When the drivers try to read an information on road signs, they can reach their destinations successfully. In this situation, human factors, road signs and geometric condition regarded as the most important factors for a safe driving should be a well-balanced relationship mutually. This research aims to prove the factors obstructing a safe driving, while drivers try to read an information on road signs for the next destination. For this sake, driving simulator was used and human factors, road signs etc. were considered in this experiment. The statistical analysis indicated what factors disturb a safe driving. The probability function using a Logistic Model was presented in this study. This result and experience will be used as a basic data in designing better road signs.

• Korean Journal of Culture and Social Issue
• /
• v.12 no.1
• /
• pp.81-102
• /
• 2006

This study focused on driver's carefulness and researched the relationship between driving confidence and driving behaviour in elderly and young drivers. In order to evaluate the driving confidence level, 'Driving Confidence Scale' was developed. 175 of young drivers(younger than 25) and 150 of elderly drivers(older than 65) conducted Driving Confidence Scale. They answered their driving patterns; driving history, annual mileage, the frequency of committing traffic violation, and experience of accident within 5 years. Elderly driver's data was collected by face to face interview. The factors of driving confidence were analyzed and the driving confidence level of young and elderly drivers was compared. Driving Confidence was consisted of 4 factors; environment of traffic condition, safe driving, driving ability, attention. Elderly driver's confidence was lower than young driver's. Elderly drivers in high driving confidence group, showed longer driving history and they were tend to commit violations more frequently than elerly drivers in low driving confidence group. Young drivers, whose driving confidence level was high answered more driving history, annual mileage, the frequency of committing traffic violation and experience of accident within 5 years.

• Journal of Preventive Medicine and Public Health
• /
• v.22 no.3 s.27
• /
• pp.313-322
• /
• 1989

The present status of the traffic accident rate in Korea shows that it is the highest in the world with a continuously increasing trend. Human factors account for 90% of the causes of traffic accidents. Therefore, the purpose of this study was to determine some human factors related to traffic accidents by studying the relationship between health status and traffic accidents. To accomplish this purpose, all taxi companies located in the Seoul area were divided in three groups according to the number of taxi possessed, then some companies in each ?roup were randomly selected for study, and a total of 222 drivers in those selected companies were questioned and examined from April 15 to April 22, 1989. Seventy drivers among 222 had experienced a traffic accident. A $x^2$-test was performed on the data, then, factor analysis and discrminant analysis were executed with the following results: 1. The drivers complaining of gastroenteric symptoms numbered 110(49.5%), which was the major symptom among all drivers complaining of poor health. 2. In the primary analysis, variables related to traffic accidents were divided into general, occupational, and health characteristics. Drivers having no traffic accident experience and drivers having that experience were subjected to question about age, educational level, residential status, monthly average income, working hours and days, degree of satisfaction with their profession and homelife, degree of worry about health. degree of fatigue, medication, drunken driving, and illness, but there were no statistical significances. 3. In the factor analysis, the 8 health variables which cause traffic accidents were classified into 3 common factors which were perceived health factor, sleeping and drunken driving, and visual acuity and smoking factor. Perceived health was the factor which contributed most to explaining accidents. 4. In the discriminant analysis, a correct prediction rate of 68.0% was obtained in the factors of all the characteristics. 5. Degree of sttisfaction with their homelife and educational and economic factor in the general characteristics, degree of satisfaction with their profession in the occupational characteristics, and sleeping and drunken driving in the health characteristics were selected as statistically significant factors to discriminant the traffic accident. 6. Among the factors of the general, occupational, and health characteristics, degree of satisfaction with their homelife, driving experience, family factor, perceived factor were selected as the statistically significant factors.

• Journal of the Ergonomics Society of Korea
• /
• v.36 no.2
• /
• pp.87-108
• /
• 2017

Objective: The purpose of this study was to precede the acceptance study based on automation steps and user experience that was lacked in the past study on the core technology of autonomous vehicle, ADAS. The first objective was to construct the acceptance model of ADAS technology that is the core technology, and draw factors that affect behavioral intention through user experience-based evaluation by applying driving simulator. The second one was to see the change of factors on automation step of autonomous vehicle through the UX/UA score. Background: The number of vehicles with the introduction of ADAS is increasing, and it caused change of interaction between vehicle and driver as automation is being developed on the particular drive factor. For this reason, it is becoming important to study the technology acceptance on how driver can actively accept giving up some parts of automated drive operation and handing over the authority to vehicle. Method: We organized the study model and items through literature investigation and the scenario according to the 4 stages of automation of autonomous vehicle, and preceded acceptance assessment using driving simulator. Total 68 men and woman were participated in this experiment. Results: We drew results of Performance Expectancy (PE), Social Influence (SI), Perceived Safety (PS), Anxiety (AX), Trust (T) and Affective Satisfaction (AS) as the factors that affect Behavioral Intention (BI). Also the drawn factors shows that UX/UA score has a significant difference statistically according to the automation steps of autonomous vehicle, and UX/UA tends to move up until the stage 2 of automation, and at stage 3 it goes down to the lowest level, and it increases a little or stays steady at stage 4. Conclusion and Application: First, we presented the acceptance model of ADAS that is the core technology of autonomous vehicle, and it could be the basis of the future acceptance study of the ADAS technology as it verifies through user experience-based assessment using driving simulator. Second, it could be helpful to the appropriate ADAS development in the future as drawing the change of factors and predicting the acceptance level according to the automation stages of autonomous vehicle through UX/UA score, and it could also grasp and avoid the problem that affect the acceptance level. It is possible to use these study results as tools to test validity of function before ADAS offering company launches the products. Also it will help to prevent the problems that could be caused when applying the autonomous vehicle technology, and to establish technology that is easily acceptable for drivers, so it will improve safety and convenience of drivers.

• Korean Journal of Culture and Social Issue
• /
• v.12 no.1
• /
• pp.55-79
• /
• 2006

This study is interested in aberrant driver behaviour. The aim of this study is to investigate the effect of error and lapse on driving behaviour of elderly drivers. In order to estimate the errors and lapses, 'Driver Behaviour Questionnaire(DBQ) was used and tested with 883 drivers. Among them 175 of young drivers(younger than 25) and 150 of elderly drivers(older than 65) answered their driving patterns; driving history, annual mileage, the frequency of committing traffic violation, and experience of accident within 5 years. Elderly driver's data were collected by face to face interview. The factors of aberrant driver behaviour were analyzed and the DBQ score was compared by the age. The aberrant driver behaviour was consisted of 3 factors; violations, errors and lapses. Elderly driver's DBQ score was lower than young driver's. Elderly and young drivers showed longer driving history. were in low DBQ score group. Elderly drivers had high error score and young drivers had high violation score. Young driver's aberrant driving behaviour was associated with annual mileage, the frequency of committing traffic violation. Elderly driver's aberrant driving behaviour was associated with annual mileage, experience of accident. Specially elderly drivers, whose violation, error, lapse score was high answered more committing experience of accident within 5 years.

• The Journal of the Korea Contents Association
• /
• v.18 no.9
• /
• pp.411-423
• /
• 2018

This study was conducted to identify the correlation between driving under the influence (DUI) and bicycle riding under the influence and the impact factors of DUI among Korean adults. The participants were 3,385 Korean adults. Data were collected Seventh Korea National Health and Nutrition Examination Survey. The pervasiveness of DUI was 7.8% of the adult population in Korea. The relevance of DUI and bicycle riding under the influence was a statistically significant difference. The factors affecting of DUI were bicycle riding under the influence, aerobic physical activity, one-time drinking, frequency of binge drinking, experience aboard a driving under the influence vehicle. To prevent DUI among Korean Adults, we would need to encourage aerobic physical activity in daily and workplace, recognize that bicycle drunk riding can lead to drunk vehicle driving, and that management of alcohol use disorders and be planning to the vehicle driving before drinking.

• The Journal of the Korea Contents Association
• /
• v.18 no.8
• /
• pp.92-101
• /
• 2018

As the interactive AI speaker becomes popular, voice recognition is regarded as an important vehicle-driver interaction method in case of autonomous driving situation. The purpose of this study is to confirm whether multimodal interaction in which feedback is transmitted by auditory and visual mode of AI characters on screen is more effective in user experience optimization than auditory mode only. We performed the interaction tasks for the music selection and adjustment through the AI speaker while driving to the experiment participant and measured the information and system quality, presence, the perceived usefulness and ease of use, and the continuance intention. As a result of analysis, the multimodal effect of visual characters was not shown in most user experience factors, and the effect was not shown in the intention of continuous use. Rather, it was found that auditory single mode was more effective than multimodal in information quality factor. In the semi-autonomous driving stage, which requires driver 's cognitive effort, multimodal interaction is not effective in optimizing user experience as compared to single mode interaction.