• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.1
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• pp.19-26
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• 2024

Purpose: Autism spectrum disorder impacts children's social, sensory, and language development, necessitating specialized educational support. Special classrooms play a crucial role in providing an appropriate learning environment for children with autism. However, there is a lack of systematic research on creating effective environments in these special classrooms. Methods: This study aims to gain a comprehensive and systematic understanding of the environmental composition of special classrooms for children with autism spectrum disorder, using the following systematic methodologies including literature review and case study. Results: Sensory spaces in special classrooms for children with autism help regulate sensory stimuli and promote sensory development. They provide stability, reducing stress from excessive stimuli, and enhance emotional stability. These spaces also promote communication and interaction among children and expand the diversity of learning activities, enriching experiences and stimulating interest in learning. Implications: Based on the results, we propose suggestions for improving the environment of special classrooms for children with autism spectrum disorder and provide direction for the design of such environments.

• Ocean Systems Engineering
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• v.14 no.1
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• pp.53-72
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• 2024

The interaction of the blade of surface-piercing propellers (SPPs) with the water/air surface is a physical phenomenon that is difficult to model mathematically, so that such propellers are usually designed using empirical approaches. In this paper, a newly developed mechanism for measuring the torque of SPPs in an open water circuit is presented. The mechanism includes a single-component load cell and a deformable torque sensor to detect the forces exerted on the propeller. Deformations in the sensor elements lead to changes in the strain gauge resistance, which are converted into voltage using a Wheatstone bridge. The amplified signal is then recorded by a 16-channel data recording system. The mechanism is calibrated using a 6-DoF calibration system and a Box-Behnken design, achieving 99% accuracy through multivariate regression and ANOVA. Finally, the results of performance tests on a 4-blade propeller were presented in the form of changes in the torque coefficient as a function of feed rate. The results show that the new mechanism is 8% more accurate than conventional empirical methods.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.117-133
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• 2024

This research analyzes users' cognitive responses to Out-Of-Home advertising content based in virtual environments. Specifically, it distinguishes the depth of advertisements as 2D or 3D and categorizes animation effects of light as a representation of virtuality into 'none', 'blinking', and 'flowing'. For this purpose, virtual reality content was developed, and after experiencing the content while wearing HMD, users' cognitive responses were investigated. Involving 60 participants, the study found that the interaction effects between depth perception and animation effects were not statistically significant, nor was the primary effect of depth perception. However, the main effect of animation showed statistically significant differences in users' attention, vividness, perceived intrusiveness, avoidance tendency, and flow. This study presents design elements that can be utilized in the production of virtual environment-based Out-Of-Home advertising and experimentally demonstrates that animation effects can serve as an effective means of emphasis in virtual environment advertising. These findings provide important insights for the creation and strategic planning of advertisements in virtual environments.

• Fashion & Textile Research Journal
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• v.26 no.3
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• pp.239-250
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• 2024

This study aims to investigate the factors influencing donation intention when the option to donate is presented during a purchase decision. Through an experimental design, we examined how price differences and reference group effects impact donation intention. We created stimuli with three price difference conditions (high, low, and control) and two levels of referent power (high and low), and involved 480 Korean consumer panels in the experiments. After controlling for psychological reactance levels, a two-way MANCOVA confirmed the main effects of price difference and referent power but found no interaction effect between these variables. Notably, consumers were less likely to feel guilty for not selecting the donation option when its price was slightly higher than that of the non-donation option, compared to the scenario where the prices were the same. Additionally, consumers exposed to high referent power experienced greater irritation, guilt, and shame if they did not choose the donation option compared to the low referent power group. Multiple regression results showed that guilt significantly influenced the intention to purchase a donation option, whereas irritation and shame did not. These findings suggest that understanding situational factors such as price differences and referent power can help develop effective marketing strategies and encourage voluntary participation in donations.

• Journal of the Earthquake Engineering Society of Korea
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• v.28 no.4
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• pp.205-213
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• 2024

In the seismic evaluation of underground utility tunnels, selecting an analytical method is critical to estimating reasonable seismic responses. In simplified pseudo-static analysis methods widely applied to typical seismic design and evaluation of underground tunnels in practice, it is essential to check whether the methods provide valid results for cut-and-cover tunnels buried in shallow to medium depth. The differences between the two simplified pseudo-static methods are discussed in this study, and the analysis results are compared to those obtained from FLAC models. In addition to the analysis methods, seismic site classification, overburden soil depth, and sectional configuration are considered variables to examine their effects on the seismic response of underground utility tunnels. Based on the analysis results, the characteristics derived from the concepts and details of each simplified model are discussed. Also, general observations are made for the application of simplified analysis methods.

• Earthquakes and Structures
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• v.27 no.1
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• pp.41-55
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• 2024

There are obvious differences between the characteristics of offshore ground motion and onshore ground motion in current studies, and factors such as water layer and site conditions have great influence on the characteristics of offshore ground motion. In addition, unlike seismic response analysis of offshore superstructures such as sea-crossing bridges, tunnels are affected by offshore soil constraints, so it is necessary to consider the dynamic interaction between structure and offshore soil layer. Therefore, a seismic response analysis model considering the seawater, soil layer and tunnel structure coupling is established. Firstly, the measured offshore and different soil layers onshore ground records are input respectively, and the difference of seismic response under different types of ground motions is analyzed. Then, the models of different site conditions were input into the measured onshore bedrock strong ground motion records to study the influence of seawater layer and silt soft soil layer on the seabed and tunnel structure. The results show that the overall seismic response between the seabed and the tunnel structure is more significant when the offshore ground motion is input. The seawater layer can suppression the vertical seismic response of seabed and tunnel structure, while the slit soft soil layer can amplify the horizontal seismic response. The results will help to promote seismic wave selection of marine structures and provide reference for improving the accuracy of seismic design of immersed tunnels.

• Education of Primary School Mathematics
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• v.27 no.3
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• pp.261-279
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• 2024

The purpose of this study is to examine the characteristics of AI courseware for mathematics learning based on Choppin et al.'s (2014) digital typology and to derive implications for directions for AI courseware development. For this purpose, 12 types of AI courseware actively used in domestic were selected for analysis, and the characteristics of these AI courseware in terms of program-student interaction, teacher' s lesson design, and evaluation system were analyzed. As a result, each AI courseware provided unique functional features for students, teachers, and evaluation, but the ability to modify and configure teaching and learning was limited. Based on these results, implications for the direction of development of AI courseware in mathematics education were presented.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.4
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• pp.774-792
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• 2024

Unlike traditional retail formats, the metaverse offers diverse shopping experiences, ranging from content that mimics reality to content that transcends reality based on its characteristic of virtuality. This study elaborates on the concept of virtuality within store environments and investigates how the virtuality level of a metaverse store influences consumers' creative consumption by mediating the flow experience. Additionally, it examines the interaction effect of creative product-seeking tendencies and individual characteristics on the relationship between flow experience and creative consumption behavior. A web-based experiment was conducted on young Korean female adults who experienced metaverse shopping. Ninety-one samples were analyzed using exploratory factor and bootstrap analyses with SPSS Macro process Models 4 and 14. The findings demonstrate that store virtuality (low vs. high) increases consumers' purchase intentions of creative fashion items by enhancing their flow toward the shopping experience. Furthermore, the effect of flow experience on creative consumption is strengthened when consumers have low creative product-seeking tendencies. This study contributes to expanding the concept of virtuality in virtual retailing and provides insights for fashion retailers planning to create virtual shopping spaces within the metaverse platform.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.43-49
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• 2024

Hand tracking is currently one of the most promising technologies in XR with the release of extended reality (XR) devices, in which hand tracking is used as the main manipulation. Hand tracking offers advantages in terms of immersion and realism, and as a result, it is being employed in a range of fields, including education, business, and medical care. The archery movement requires using both hands at the same time, but requires sophistication to hit the target and is a movement that has cultural and sports significance in the past. This study aimed to implement this archery movement. Therefore, this paper used the XR Hands package provided by Unity to recognize hand movements, explored the underlying OpenXR, and finally implemented the archery movement and tested it in Meta Quest 2.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.449-465
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• 2024

This study conducted a systematic literature review using online databases to investigate the effective feedback types that enhance the learning experiences of online students. Feedback is a critical component for learner success. With the expansion of online education, the importance of feedback has become more evident due to the reduced interaction between instructors and learners. Instructors must provide high-quality feedback that motivates learners and supports their educational goals. This involves using automated tools appropriate for the environment and effective feedback strategies to deliver personalized feedback. The literature was gathered through an extensive search process, adhering to predetermined inclusion and exclusion criteria, and included a risk assessment of selected studies, drawing from sources such as Google Scholar, Elsevier, and other Scopus-indexed journals. The review adhered to the guidelines set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Specific keywords related to the study's focus, including "Online learning," "Improving learning," "Learner performance," "Feedback type," and "Feedback," guided the database searches. The protocol for selecting systematic reviews on learning enhancement involved screening articles published from 2013 to 2021 based on their titles and abstracts according to established criteria. Analyzing and studying data on learning patterns in non-face-to-face educational environments can improve learners' needs and educational effectiveness. Selecting the right types of feedback, taking into account the learners' levels and educational objectives, is crucial for providing effective feedback. A variety of feedback types are essential for the continuous improvement of learners' learning.