Ji-Hyoun Hwang

Although metaverse model houses have recently emerged as an interactive alternative to traditional housing marketing tools, empirical research addressing users’ experiences within these environments remains limited. This study aimed to examine how three dimensions of user experience (UX)—operational, sensory, and exploratory—affect user satisfaction and behavioral intentions in metaverse model houses. A total of 83 participants explored a metaverse model house using a tablet PC and completed a questionnaire. Multiple linear regression analysis revealed that exploratory experience significantly influenced user satisfaction, while sensory experience was positively associated with all behavioral intentions, including the intention to revisit, recommend, reside, and purchase. These findings advance our understanding of UX in virtual housing environments and highlight the importance of immersive and exploratory elements in designing effective metaverse model houses. The results offer practical implications for improving digital housing marketing strategies and guiding the future development of metaverse-based architectural platforms.

University-affiliated public housing (UAPH) is planned for the purpose of coexistence with the local community as well as housing stability for university students. However, shared spaces such as auxiliary welfare facilities planned to achieve that purpose are not being used by residents because no services or programs are provided. Lifestyle is a useful approach for identifying housing preferences in housing projects for special groups that share similar demographic characteristics. Thus, this study analyzed and clustered the lifestyle of university students, and investigated the differences in preferred auxiliary welfare facilities and residential services by cluster. Data were collected through a self-administered questionnaire survey of 424 university students using an online survey. As a result of the survey, in the factor analysis of university students’ lifestyle types, three categories were identified as individual propensity factors regardless of demographic characteristics except gender. In addition, the characteristics of university students were crucial in examining the preference of auxiliary welfare facilities and residential services of UAPH in terms of community facilities, auxiliary facilities, residential services, and program/operation management. Community facilities showed a high need for academic facilities, a low overall need for residential services, and a high need for program/operational management in terms of cost (housing cost reduction). In this study, there were differences in UAPH opinions according to lifestyle. In particular, many respondents showed a lifestyle that pursued practicality, and accordingly, a preference to utilize practicality, sociality, information, and technology was high. Therefore, for the sustainable operation and management in order to facilitate UAPH construction, the issue of housing cost, including not only rent but also management costs, should be considered most fundamentally, and it is necessary to provide facilities and programs that can provide practical help to the difficulties students face when living alone.

Elderly nursing homes in South Korea are vulnerable to evacuation in emergency situations such as fires. There are many elderly residents with reduced self-walking ability, so if a disaster such as a fire occurs, it is very likely to lead to a large number of human injuries. In elderly nursing homes, it is impossible for many elderly people to evacuate voluntarily without the help of staff. Therefore, it is very important to guide the behavior of staff when evacuating. The purpose of this study is to evaluate the effect of evacuation behavior of staff on evacuation time in a fire emergency in an elderly nursing home by adopting an agent-based simulation approach. The effect of staff evacuation behavior on the evacuation time was investigated based on the results of a new agent-based evacuation simulation model. In the simulation model, there are conditions for caregivers to designate and evacuate the elderly, as well as to set the evacuation priority for the elderly. The results of this study show that having the elderly occupants designated by the staff according to their zones and evacuating them together was the most important in reducing the evacuation time. This study contributes to a new agent-based evacuation simulation model by confirming whether the evacuation behavior of employees affects the evacuation time.

This paper describes the color design process of the house in the village. The color design process proposed in this paper constitutes design stages such as color selection, color application, and color design analysis and evaluation. In the color selection step, a method of arranging colors using a color pallet or a color scheme is described. The color application stage includes the process of creating a village color design alternatives by specifying the color information of the hue, value, and saturation based on the BIM model. The color analysis stage is to numerically identify the color design attributes of the generated color design alternatives. The reason for color analysis and evaluation is to produce various design alternatives with the color harmony and improve the quality of the design.

As the concept of prospect-refuge defines a preferred environment, the spatial elements that provide good conditions for the catalyst of the theory have been extensively studied. The well-known architectural element of this theory is the window that optimizes visual openness to outdoor or enclosure from outdoor. The aim of this paper is to develop a design method for prospect-refuge condition by adjusting window design attributes. A parametric design model that measures spatial conditions and presents design alternatives for the window is proposed in two major phases. First, this paper explains a parametric model to generate design alternatives for a window according to its size, aspect ratio, location, and shape. In the second phase, the parametric algorithm is defined for the measurement of prospect-refuge with 3D visibility. As a result, we explore the impact of window design variables on average visibility and difference visibility of prospect and refuge area. Using the parametric design technology, the proposed method presents analytical techniques, considering spatial characteristics.