기존의 정서 연구는 주로 전통적인 2D 영상을 이용하여 특정 정서를 유발하였다. 이와 대조적으로, 360° 영상은 시청자의 전체 시야를 차지하여 몰입적이고 상호작용적인 경험을 제공한다. 본 연구에서는 VR 기기를 통해 시청하 는 360° 영상 자극에 대한 정서 반응을 알아보고자 하였다. 50명의 참가자들은 5가지 조건(무서운, 신나는, 지루한, 역겨운, 차분한)에 대해 각각 6개의 영상을 시청한 후 정서를 평정했다. 선정된 영상자극들이 의도한 정서 조건에 맞게 조작되었는지 확인하기 위해 실시한 일원변량분석 결과, 영상 자극 조건에 따라 정서가와 각성가에서 전반적으 로 유의미한 차이가 나타났으며, 각 정서 조건은 의도한 핵심 정서 차원에 적절히 표상되었다. 또한 참가자간 상관분 석 결과, 긍정적인 정서조건에서 부정적인 정서조건보다 참가자 간 반응이 더 일관적임을 확인하였다. 본 연구의 결과는 정서 연구의 새로운 자극 도구로써 VR 기반 360° 영상이 핵심 정서 차원에서 효과적으로 정서를 유발할 수 있음을 체계적으로 검증하였다는 점에서 의의가 있다.

This study investigates the cognitive characteristics and transition flow of team mental models in virtual reality environments (VRE) compared to Zoom-based collaboration during fashion design problem-solving processes. Using the VRE platform Spatial.io as a case study, the study examines how virtual reality technologies influence the formation of shared mental models among collaborators. The objective is to identify key cognitive features that VREs offer to support problem-solving in multidisciplinary fashion design collaborations. The study employed a comparative experimental design, involving professionals from fashion design, marketing, and production. Participants completed the design concept generation tasks in both VRE and Zoom environments, all interactions were recorded and coded, with the analysis focusing on cognitive transitions, verbal dynamics, and collaborative behavior patterns across both environments. The results reveal that VRE fosters higher frequencies of environmental interaction (EI-EI), cognitive integration (CIM-CI), and planning to execution transitions in team interactions (PP-PIM), forming multidirectional feedback loops. These features enhanced dynamic adaptation to environmental stimuli. In contrast, Zoom-based collaboration relied heavily on linear verbal communication, with fewer cognitive transitions and limited structural feedback loops, thereby reducing efficiency in idea evaluation and execution in team interaction. The study highlights the potential of VREs to transform collaborative practices in fashion design by enabling immersive and multidimensional interactions, contributing to advancing digital collaboration strategies in creative industries, with implications for education and interdisciplinary innovation.

In recent years, with the advancement of virtual reality (VR) technology, research in related fields has gradually increased. As personal head-mounted display devices become more prevalent in the market, this study explores the phenomenon of integrating VR technology with online shopping from the consumer's perspective. The study focuses on consumers' acceptance of VR technology in online shopping and analyzes the types of virtual environments most likely to stimulate consumer purchase intention. Based on the SOR (Stimulus-Organism-Response) and TAM (Technology Acceptance Model) theories, a TAM-SOR integrated model was constructed. Taking into account influencing factors in the current online shopping environment, the model was built and tested using SPSS and AMOS to validate the hypotheses. Structural equation modeling and mediation effect analyses on the collected samples indicate that external stimulus variables in a VR shopping environment—such as flow experience, spatial presence, and entertainment—have a significant positive impact on purchase intention. Additionally, perceived ease of use and perceived usefulness serve as chain mediators, enabling external stimulus variables to further influence consumer purchase intention through these mediating variables.

We present the initial results of on-going research for building a novel Mobile Haptic Interface (MHI) that can provide an unlimited haptic workspace in large immersive virtual environments. When a user explores a large virtual environment, the MHI can sense the position and orientation of the user, place itself to an appropriate configuration, and deliver force feedback, thereby enabling a virtually limitless workspace. Our MHI (PoMHI v0.5) features with omnidirectional mobility, a collision-free motion planning algorithm, and force feedback for general environment models. We also provide experimental results that show the fidelity of our mobile haptic interface.