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Wayfinding in Architecture

The recent popularity of consumer-grade virtual reality devices, such as Oculus Rift, HTC Vive, and Fove virtual reality headset, has enabled household users to experience highly immersive virtual environments We take advantage of the commercial availability of these devices to provide a novel virtual reality-based driving training approach designed to help individuals improve their driving habits in common scenarios Our approach first identifies improper driving habits of a user when he drives in a virtual city Then it synthesizes a pertinent training program to help improve the users driving skills based on the discovered improper habits of the user To apply our approach, a user first goes through a pre-evaluation test from which his driving habits are analyzed The analysis results are used to drive optimization for synthesizing a training program This training program is a personalized route which includes different traffic events When the user drives along this route via a driving controller and an eye-tracking virtual reality headset, the traffic events he encounters will help him to improve his driving habits To validate the effectiveness of our approach, we conducted a user study to compare our virtual reality-based driving training with other training methods The user study results show that the participants trained by our approach perform better on average than those trained by other methods in terms of evaluation score and response time and their improvement is more persistent

Synthesizing Personalized Training Programs for Improving Driving Habits via Virtual Reality

Construction industry has the largest number of preventable fatal injuries, providing effective safety training practices can play a significant role in reducing the number of fatalities. Building on recent advancements in virtual reality-based training, we devised a novel approach to synthesize construction safety training scenarios to train users on how to proficiently inspect the potential hazards on construction sites in virtual reality. Given the training specifications such as individual training preferences and target training time, we synthesize personalized VR training scenarios through an optimization approach. We validated our approach by conducting user studies where users went through our personalized guidance VR training, free exploration VR training, or slides training. Results suggest that personalized guidance VR training approach can more effectively improve users' construction hazard inspection skills. 

Synthesizing Personalized Construction Safety Training Scenarios for VR Training

Human-robot interaction (HRI) research frequently explores how to design interfaces that enable humans to effectively teleoperate and supervise robots. One of the principle goals of such systems is to support data collection, analysis, and human decision making, which requires representing robot data in ways that support fast and accurate analyses by humans. However, the interfaces for these systems do not always use best-practice principles for effectively visualizing data. We present a new framework to scaffold reasoning about robot interface design that emphasizes the need to consider data visualization for supporting analysis and decision making processes, detail several data visualization best practices relevant to HRI, identify a set of core data tasks that commonly occur in HRI, and highlight several promising opportunities for further synergistic activities at the intersection of these two research areas.

https://dl.acm.org/doi/pdf/10.1145/3434073.3444683

Connecting Human-Robot Interaction and Data Visualization

This literature review reveals the current research focus, underlying themes and prominent research gaps in the Virtual Reality (VR) literature. 89 journal articles from the 22 years are thematically analysed in order to non-obvious reveal interconnections and themes, including research focus over time and underlying themes by research discipline. Over half of all papers focus on the need to understand the VR shopping consumer, yet no consensus exists as to what the optimal experience is or how to design effective v-Commerce stores. The most prominent research gaps are related to the unique HCI aspects in v-Commerce that influence shopping behaviours. The impact of this review is establishing the current challenges and future directions for academia in order to make v-Commerce a viable reality. Specifically, future research should mainly focus on develop human factor theory in VR shop design (i.e. social dimension, eye-tracking etc.).

/pdf/a-virtual-reality-and-retailing-literature-review-current-6ltr2k1uy1.pdf

A virtual reality and retailing literature review: Current focus, underlying themes and future directions

Wayfinding signs play an important role in guiding users to navigate in a virtual environment and in helping pedestrians to find their ways in a real-world architectural site. Conventionally, the wayfinding design of a virtual environment is created manually, so as the wayfinding design of a real-world architectural site. The many possible navigation scenarios, as well as the interplay between signs and human navigation, can make the manual design process overwhelming and non-trivial. As a result, creating a wayfinding design for a typical layout can take months to several years. In this paper, we introduce the Way to Go! approach for automatically generating a wayfinding design for a given layout. The designer simply has to specify some navigation scenarios; our approach will automatically generate an optimized wayfinding design with signs properly placed considering human agents' visibility and possibility of making mistakes during a navigation. We demonstrate the effectiveness of our approach in generating wayfinding designs for different layouts such as a train station, a downtown and a canyon. We evaluate our results by comparing different wayfinding designs and show that our optimized wayfinding design can guide pedestrians to their destinations effectively and efficiently. Our approach can also help the designer visualize the accessibility of a destination from different locations, and correct any "blind zone" with additional signs.

Way to Go! Automatic Optimization of Wayfinding Design.

The widespread popularity of consumer-grade virtual reality devices such as the Oculus Rift and the HTC Vive provides new, exciting opportunities for visual attention research in virtual environments. Via these devices, users can navigate in and interact with virtual environments naturally, and their responses to different dynamic events can be closely tracked. In this paper, we explore the possibility of using virtual environments to study how directional signage may guide human navigation in an unfamiliar environment.

https://dl.acm.org/doi/pdf/10.1145/2992138.2992152

Analyzing visual attention via virtual environments

Wayfinding signs play an important role in guiding users to navigate in a virtual environment and in helping pedestrians to find their ways in a real-world architectural site. Conventionally, the wayfinding design of a virtual environment is created manually, so as the wayfinding design of a real-world architectural site. The many possible navigation scenarios, as well as the interplay between signs and human navigation, can make the manual design process overwhelming and non-trivial. As a result, creating a wayfinding design for a typical layout can take months to several years. In this paper, we introduce the Way to Go! approach for automatically generating a wayfinding design for a given layout. The designer simply has to specify some navigation scenarios; our approach will automatically generate an optimized wayfinding design with signs properly placed considering human agents’ visibility and possibility of making mistakes during a navigation. We demonstrate the effectiveness of our approach in generating wayfinding designs for different layouts such as a train station, a downtown and a canyon. We evaluate our results by comparing different wayfinding designs and show that our optimized wayfinding design can guide pedestrians to their destinations effectively and efficiently. Our approach can also help the designer visualize the accessibility of a destination from different locations, and correct any “blind zone” with additional signs.

Automatic Optimization of Wayfinding Design

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Way to Go! Automatic Optimization of Wayfinding Design.

Analyzing visual attention via virtual environments

Automatic Optimization of Wayfinding Design