• Journal of Distribution Science
• /
• v.21 no.7
• /
• pp.117-129
• /
• 2023

Purpose: With the number of COVID-19 cases declining and generational differences among how people use mobile apps, including health service apps, the goal of this research is to identify and analyze the factors that affect people's attitudes when using the Halodoc health service app during the third year of the pandemic. Research design, data, and methodology: This study proposes a quantitative analysis method based on PLS-SEM modeling. This study has used a questionnaire survey to collect randomized data from 268 Halodoc users from generations Y and Z in Jakarta. Results: Both the Y and Z generations believe there is a significant usefulness factor in the attitude toward using the application. The start of the pandemic period demonstrates that the urgency of using health service applications is no longer determined by performance expectations, effort, or social panic, but rather by these applications' usability. Conclusions: Even though a health service application is no longer considered an urgent service or a priority need, attitudes, and behaviors in using it emphasize the aspect of long-term benefits. These findings supplement other considerations and understandings in application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in explaining attitudes and intention behaviors.

• Journal of Digital Convergence
• /
• v.15 no.11
• /
• pp.433-440
• /
• 2017

The present study explored the impact of personality and self-identity on online information acquisition, information transmission and the usage of SNSs. Participants were 180 students, SNS users, from a university in Korea. Among the participants, 171 students completed all surveys. As a results, personality traits such as openness, extraversion, agreeableness, neuroticism were positively related to the SNS usage and information behaviors. Social identity orientation was associated with time spent of SNS and the number of friends whereas collective identity orientation was related to information acquisition. As a result of multiple regression, time spent, openness, agreeableness, collective identity were significant predictors of information acquisition. The number of SNS in use, time spent of SNS, openness, neuroticism were predictors of information transmission. However, as the predictor of information transmission, neuroticism showed inverse relationship with information transmission.

• Journal of Digital Convergence
• /
• v.13 no.6
• /
• pp.327-339
• /
• 2015

The present study explored how 1) individuals' perception about attributes of exercise/fitness apps and 2) their motivation for exercise/fitness behaviors influence perceived usefulness and usage of the apps. A survey of 323 males and females in their 20's and 30's revealed that attributes of apps that satisfy their basic psychological needs are crucial in promoting perceived usefulness and usage of the apps. Participants were more likely to perceive exercise/fitness apps useful as they perceive them having more attributes related to autonomy and competence. The perception regarding relatedness attributes did not have the main effect on perceived usefulness but showed an interaction effect with relative autonomous motivation. This convergence study which examined health apps from the perspectives of psychology and public health provides practical implications to development and evaluation of health apps.

• Journal of Environmental Science International
• /
• v.25 no.7
• /
• pp.963-972
• /
• 2016

A survey was performed to present a scheme for building a healing forest park inside a city in consideration of the fact that healing forests are located in non-urban areas because of their nature, and are therefore not conveniently accessible to urban population (n=196). As a result, among 196 respondents to the survey, 74.5% indicated that it was necessary to build an urban healing forest park. In the case of the expected usage pattern, were an urban forest park to be built, the largest proportion responded that it would be used to "walk", followed by "rest and meditation" and then "meeting/talk/date". An analysis showed that the largest proportion responded that they factor in "Accessibility" (48%), followed by "Park condition" (16.8%), and "Vegetation type" (12.2%). According to the analysis of usage preference for healing therapy, it was shown that the largest proportion preferred "Terrain therapy" (37.8%), followed by "Exercise therapy" (19.9%), and "Naturopathy" (18.9%). The factor anlaysis of usage preference regarding urban healing forest park facilities showed that the components were divided into "Operation facilities" and "Natural healing space", and the largest proportion preferred "Trails for healing", followed by "Space or forest for meditation" and "Health promotion center", and then "Facilities for a exercise therapy". In building an urban healing forest park, we think that it is effective to introduce zones and facilities in consideration of park characteristics that are centered on everyday behaviors, such as taking a walk, which differ from those of healing forests located in non-urban areas.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.8
• /
• pp.315-320
• /
• 2015

The purposed of this research is to develop multimedia content usage analysis service platform. In the proposed platform, the content gazing behaviors of the users are monitored and profiled in real-time and a set of quantifiable metrics is provided. These metrics are used to determine the closeness of the users' behavior from the intent set by the provider. Based on the evaluation, it is possible to assess the effectiveness of the contents themselves as well. The content usage assessment is accomplished by utilizing the intention flow and the intent weight, which are embedded into the content by the content provider. Proposed methodology can be effectively applied and used in various application domains such as in education and in commercial advertisements.

• The Journal of Korean Physical Therapy
• /
• v.25 no.1
• /
• pp.36-41
• /
• 2013

Purpose: To investigate whether the long-term use of a cane induces pain in the unaffected lower limb of stroke patients. Methods: A total of 107 stroke patients with chronic hemiparesis were recruited in this study and classified into two groups; a cane-use group (n=49) and non-cane-use group (n=58). The existence of pain in the unaffected lower limb was assessed on a visual analog scale in the hip, knee, and ankle joint, and the University of Alabama pain behaviors scale (UAB pain behavior scale) used to measure the intensity of pain. In addition, the Motricity Index (MI) was tested in the upper and lower extremities. Results: The proportion of pain in each joint of the lower limb was significantly higher in the cane-use group, compared to the non-cane-use group (p<0.05). In addition, significant differences were observed on the UAB pain behavior scale between the two groups. The lower MI score was significantly lower in the cane-use group, compared with the control group. However, no difference was observed in MI scores of the upper limb between the two groups. Conclusion: These findings reveal that long-term cane usage can induce pain in the unaffected lower limb of stroke patients. We suggest careful consideration when prescribing a cane, depending on functional ability in hemiparetic patients, and recommend continuous evaluation for pain in the affected lower limb.

• Journal of Digital Convergence
• /
• v.15 no.9
• /
• pp.79-85
• /
• 2017

The purpose of this study was to investigate utilization behaviors of smartphones while walking that are increasing recently and to examine the effects of smartphone usage patterns on human factors of pedestrian safety. In order to understand the motives and actual conditions of pedestrians' use of smart phones, a online questionnaire survey was conducted on people in their 20~30s who use smartphones. As a result, 98.6% of the respondents had experience using smartphones while walking. After performing the survey by extracting 17 uses the synchronization elements in the prior studies was extracted with two factors from the factor analysis. Particularly, respondents whose motivation to use smartphones was 'pandemic' were analyzed to have an influence on the risk of accident due to use of smartphones among human factors of pedestrian safety.

• Journal of the Korean housing association
• /
• v.23 no.4
• /
• pp.59-67
• /
• 2012

Developing the modern design of Hanok and providing support for the commercialization model development in recent years propelled by the New Hanok Support Strategies of the central government in conjunction with the New Hanok revitalization related projects reflecting local goverments. New Hanok revitalization, the rekindling and revaluing of human behaviors and interests in local goverments following the social and cultural changes of the past decades, has emeraged as an increasingly traditional area of concerning in New Hanok planning. In this paper we attempt to this discussion by describing recent projects in New Hanok revitalization in Jeollanam-do Province. Therefore, this study aims to examine the classification of compound knowledges based multidimensional relationship by using Self-Organizing Maps (SOM). SOM is an unsupervised learning neural network model for the analysis of high-dimensional input data. By using SOM, we were able to create a cluster map reflecting the characteristics of the New Hanok. In this case the pattern of the preference data was easily understood by visual analysis. Liking for compound knowledge deduced from this data was classified into 8 categories according to the compound knowledge properties of New Hanok. As a result, a systematic approach for analysis the characteristics of individual family and living environment of New Hanoks and 10 space usage patterns the changes in some aspects of New Hanok.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.6
• /
• pp.1957-1980
• /
• 2021

The significant aim of this research has always been to evaluate the mechanism for efficient and inherently aware usage of vitality in-home devices, thus improving the information of smart metering systems with regard to the usage of selected homes and the time of use. Advances in information processing are commonly used to quantify gigantic building activity data steps to boost the activity efficiency of the building energy systems. Here, some smart data mining models are offered to measure, and predict the time series for energy in order to expose different ephemeral principles for using energy. Such considerations illustrate the use of machines in relation to time, such as day hour, time of day, week, month and year relationships within a family unit, which are key components in gathering and separating the effect of consumers behaviors in the use of energy and their pattern of energy prediction. It is necessary to determine the multiple relations through the usage of different appliances from simultaneous information flows. In comparison, specific relations among interval-based instances where multiple appliances use continue for certain duration are difficult to determine. In order to resolve these difficulties, an unsupervised energy time-series data clustering and a frequent pattern mining study as well as a deep learning technique for estimating energy use were presented. A broad test using true data sets that are rich in smart meter data were conducted. The exact results of the appliance designs that were recognized by the proposed model were filled out by Deep Convolutional Neural Networks (CNN) and Recurrent Neural Networks (LSTM and GRU) at each stage, with consolidated accuracy of 94.79%, 97.99%, 99.61%, for 25%, 50%, and 75%, respectively.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.51 no.2
• /
• pp.68-80
• /
• 2023

With the recent changes in society and the introduction of new technologies, the usage patterns of parks have become diverse, leading to increased complexity in park management. As a result, there is a growing demand for flexible and diverse park management that can adapt to these new requirements. However, there is inadequate discussion on these new demands and whether urban park management policies can respond. Therefore, empirical research on how park usage patterns are evolving is critical. To address this, blog data, in which individuals share their experiences, was used to examine the spatial consumption patterns through semantic network and topic analysis. This study also explored whether these spatial consumption patterns exhibit experiential consumption characteristics according to the experience economy theory. The results showed that consumption behaviors, such as renting picnic sets and having food and drinks delivered, were prominent and that emotional experiences were pursued. Furthermore, these findings were consistent with the experiential consumption characteristics of the experience economy theory. This suggests that park planning and maintenance methods need to become more flexible and diverse in response to the changing demands for park usage.