• The Journal of Society for e-Business Studies
• /
• v.24 no.2
• /
• pp.143-163
• /
• 2019

The purpose of this study is to identify acceptance factors and influencing factors of respondents' adoption of smart IoT technology to companion animal health based on the integrated technology acceptance model. Based on the previous studies, we constructed the hypotheses by defining the technical factors, social factors, control variables, and mediating variables (UTAUT), and set the hypotheses between the independent variables of each factor and the dependent intention. A research model was designed to verify the relationship between variables. We developed questionnaires on the items and verified them through data collected from 494 people. As a result, product design, quality of service, product performance, and quality service of technological factors had a significant effects on performance expectancy and effort expectancy. However, product safety, product function awareness, and product price did not significantly affect performance expectancy and effort expectancy. Social influence had significant effects on cognitive effect, welfare system, and welfare facilities. In conclusion, the comparative analysis of technical factors and social factors showed that social factors have more significant effects on welfare systems and facilities.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.5
• /
• pp.117-132
• /
• 2022

The purpose of this study is to analyze factors that affect road users' acceptance of fully autonomous vehicles (level 4 or higher). A survey was done with drivers of general cars and pedestrians who share roads with fully autonomous vehicles. Five acceptability factors were selected: trust towards technology, compatibility, policy, perceived safety, and perceived usefulness. The effect on behavioral intention was analyzed using structural equation modeling (SEM). The perceived safety and trust towards technology were found to be very important in the acceptance of fully autonomous vehicles, regardless of the respondent, and policy was not influential. Compatibility and perceived usefulness were particularly influential factors for drivers. In order to improve the acceptance by road users, securing technical completeness of fully autonomous vehicles is important. Certification and evaluation of the safe driving ability of fully autonomous vehicles should be thoroughly performed, and based on the results, it is necessary to improve the perception by road users. It is necessary to positively recognize fully autonomous vehicles through education and publicity for road users and to support their smooth interaction.

• Journal of Korean Society of Transportation
• /
• v.30 no.6
• /
• pp.27-36
• /
• 2012

In Korea, 28,641 cases of traffic accidents were caused by drunk driving in 2010. These statistics accounted for 12.62% of total number of traffic accidents. Moreover, the percentages of deaths and injuries from them were nearly 15% of those from whole traffic accidents. While police has emphasized enforcement efforts in order to reduce drunk driving, culture generous to drunk driving in addition to the absence of an appropriate intervention system for habitual drunk drivers have contributed to the increasing number of the drunk driving accidents in Korea. This study examined specific behavioral changes in drunk driving by comparing drivers' behavior pattern in non-alcoholic condition to those in alcoholic condition, using a psychomotor test and a driving simulator. In the psychomotor test measuring participants' reactions to the target stimulus, it was revealed that participants' correct responses were decreased, false responses were increased, and no responses also were increased after drinking. Furthermore, in the driving simulator performance after drinking, not only driving speed was faster but also the deviation of an accelerator pedal pressure and of the vehicle's lateral position were much increased. These results indicated that alcohol consumption would impair visio-cognitive ability and deteriorate driving safety. Finally, the implications and limitations of our findings and suggestions for the future research were discussed.

• Journal of Korean Society of Forest Science
• /
• v.87 no.2
• /
• pp.131-144
• /
• 1998

Understanding of the reasons why users in recreation settings select particular trails may provide useful information for effective recreation resources management. This study investigated the present use of the major trails in Mudeung-san Provincial Park and the major influential factors on trail selection. This study was conducted in Mudeung-san Provincial Park stretching over Hwasun-gun and Damyang-gun of Chonnam Province and Kwang-ju city during August in 1996. Data were collected through on-site survey and mail-back questionnaire. 519(44.2%) out of 1173 survey samples were used for analysis. Reasons for selecting a particular trail were classified into 8 major factors. In overall, the order of the importance degree of the factors was 1) aesthetics of landscape, 2) safety(from physical and crime), 3) conditions for health, 4) quietness, 5) familiarity, 6) on the way to the destination, 7) convenience/social, 8) others' intention. There were differences in the degree of importance of each factor depending on trails, users' characteristics(eg., gender, age, group size, visit experience, etc.) and users' behavioral patterns. Recreation motivations were classified into 5 major factors. The order of the importance degree of the factors was 1) contacting with nature, 2) self-training, 3) solitude, 4) social interaction, 5) appreciating cultural properties. Regardless of trails, 'contacting with nature' was the most important factor, and the degree of importance in the other 4 motivational factors showed only a little differences in order according to the trails. There were correlations between major factors for trail selection and recreation motivations. The results of this study may provide foundational information for establishing effective management strategies through better understanding of the present use of trails and influential factors on trail selection. It can be used for reducing the present social and ecological problems caused by use concentration on certain trails and providing users with better quality of diverse recreational experiences. This study discussed the findings, and suggested some management strategies based on these information.