Research on an Immersive Interior Decoration Experience and Interactive System Based on Virtual Reality

Author(s):  
Jia-Qi Fan ◽  
Feng-Quan Zhang
Author(s):  
Hao Song ◽  
Fangyuan Chen ◽  
Qingjin Peng ◽  
Jian Zhang ◽  
Peihua Gu

User experience has a significant impact on the effective product design and improvement, especially for a personalized product to meet user’s individual need. The development of personalized products requires data from user experience in the evaluation of the product function and performance. The existing methods of Internet-based interactive platforms and direct market user surveys cannot provide users full experience of product features. This research proposes a user interactive system based on virtual reality technologies to provide users a close-real experience in the development of open-architecture products. The system provides users an interface built on the virtual environment. The users can review a product design by virtually operating and evaluating the product. The system records users’ operations and feedbacks for designers to improve the product. Food trucks designed using the open-architecture concept are used as applications to verify the proposed method. A user survey is conducted to examine the system effectiveness.


Information ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 170
Author(s):  
Jian Lv ◽  
Xiaoping Xu ◽  
Ning Ding

Aimed at the problem of how to objectively obtain the threshold of a user’s cognitive load in a virtual reality interactive system, a method for user cognitive load quantification based on an eye movement experiment is proposed. Eye movement data were collected in the virtual reality interaction process by using an eye movement instrument. Taking the number of fixation points, the average fixation duration, the average saccade length, and the number of the first mouse clicking fixation points as the independent variables, and the number of backward-looking times and the value of user cognitive load as the dependent variables, a cognitive load evaluation model was established based on the probabilistic neural network. The model was validated by using eye movement data and subjective cognitive load data. The results show that the absolute error and relative mean square error were 6.52%–16.01% and 6.64%–23.21%, respectively. Therefore, the model is feasible.


2019 ◽  
Vol 17 (2) ◽  
pp. 220-235 ◽  
Author(s):  
Bess Krietemeyer ◽  
Amber Bartosh ◽  
Lorne Covington

This article presents the ongoing development and testing of a “shared realities” computational workflow to support iterative user-centered design with an interactive system. The broader aim is to address the challenges associated with observing and recording user interactions within the context of use for improving the performance of an interactive system. A museum installation is used as an initial test bed to validate the following hypothesis: by integrating three-dimensional depth sensing and virtual reality for interaction design and user behavior observations, the shared realities workflow provides an iterative feedback loop that allows for remote observations and recordings for faster and effective decision-making. The methods presented focus on the software development for gestural interaction and user point cloud observations, as well as the integration of virtual reality tools for iterative design of the interface and system performance assessment. Experimental testing demonstrates viability of the shared realities workflow for observing and recording user interaction behaviors and evaluating system performance. Contributions to computational design, technical challenges, and ethical considerations are discussed, as well as directions for future work.


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