Situational Awareness-based Augmented Reality Instructional (ARI) Module for Building Evacuation

Sharma, Sharad; Stigal, James; Bodempudi, Sri Teja

doi:10.1109/vrw50115.2020.00020

Cited by 19 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, we collected a final list of 27 papers that focused on AR technologies for FRs, and identified four types of AR cues, including: 1) maps for space visualization and overview [22,24,35,37,50,66,70,80,90,92]; 2) icons and text to label point of interests and provide detailed information [5,22,35,37,38,50,59,67,70,79,90,92]; 3) arrows and paths for navigation [36,37,66,80]; and 4) outline and shaded overlay for object highlighting and enhancement [14,37].…”

Section: Fourmentioning

confidence: 99%

“…2A) and a 3D floor plan (Fig. 2B) [22,37,53,80,90,92]; a user can use in-the-air gestures to interact with the map, such as moving, resizing, and rotating; (2) directional cues that indicate a target or a direction via a single arrow (Figure 2E) and an array of arrows connecting into a path (Figure 2F) [36,66,80]; (3) highlighting cues that emphasize an object of interest by adding a colored shaded overlay (Fig. 2C) or a contour around the object (Fig.…”

Section: Fourmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

Zhang,

Cochran,

Chen

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

First responders (FRs) navigate hazardous, unfamiliar environments in the field (e.g., mass-casualty incidents), making life-changing decisions in a split second. AR head-mounted displays (HMDs) have shown promise in supporting them due to its capability of recognizing and augmenting the challenging environments in a hands-free manner. However, the design space have not been thoroughly explored by involving various FRs who serve different roles (e.g., firefighters, law enforcement) but collaborate closely in the field. We interviewed 26 first responders in the field who experienced a state-of-the-art optical-see-through AR HMD, as well as its interaction techniques and four types of AR cues (i.e., overview cues, directional cues, highlighting cues, and labeling cues), soliciting their first-hand experiences, design ideas, and concerns. Our study revealed both generic and role-specific preferences and needs for AR hardware, interactions, and feedback, as well as identifying desired AR designs tailored to urgent, risky scenarios (e.g., affordance augmentation to facilitate fast and safe action). While acknowledging the value of AR HMDs, concerns were also raised around trust, privacy, and proper integration with other equipment. Finally, we derived comprehensive and actionable design guidelines to inform future AR systems for in-field FRs. CCS CONCEPTS• Human-centered computing → Mixed / augmented reality; User studies.

show abstract

Section: Fourmentioning

confidence: 99%

Section: Fourmentioning

confidence: 99%

Exploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

Zhang,

Cochran,

Chen

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…They have found correlations between COVID-19 and crime in Baltimore city. Sharma et al [12][13][14][15][16][17] have also presented data visualization tool for building evacuation and navigation in multilevel spaces by generating augmented reality (AR) instructional visualizations.…”

Section: Related Workmentioning

confidence: 99%

Data Analysis and Visualization of Crime Data

Sharma,

Dronavalli

2024

View full text Add to dashboard Cite

The rise in crime rates over the past few years is a major issue and is a huge source of worry for police departments and law enforcement organizations. Crime severely harms the lives of victims and the communities they live in many places throughout the world. It is an issue of public disturbance, and large cities often see criminal activity. Many studies, media, and websites include statistics on crime and it is contributing elements, such as population, unemployment, and poverty rate. This paper compares and visualizes the crime data for four different cities in the USA, namely Chicago, Baltimore, Dallas, and Denton. We assess areas that are significantly affected based on zip codes and variations in crime categories. As the crime rates have significantly changed both upward and downward throughout time, these changes are compared to their external causes such as population, unemployment, and poverty. The results show crime frequency and distribution across four different cities and supply valuable information about the complex relationship between social factors and criminal behavior. These results and outcomes will help the police department and law enforcement organizations better understand crime issues, map crime incidents onto a geographical map, and supply insight into factors affecting crime that will help them deploy resources and help in their decision-making process.

show abstract

“…They have discussed the need for human-centric situational awareness and visualization that are needed for analyzing the big data in an efficient way. Sharma et al [13][14][15] have also presented data visualization for location based navigation in multilevel spaces by generating augmented reality instructional visualizations with contextualized communication of evacuation plans. HoloLens has also been used for creating situational awareness in indoor evacuation environments [16][17][18].…”

Section: Related Workmentioning

confidence: 99%

Data visualization of crime data using immersive virtual reality

Aishwarya¹,

Sharad²

2022

Self Cite

View full text Add to dashboard Cite

Visualization explores quantitative content of data with human intuition and plays an integral part in the data mining process. When the data is big there are different analysis methods and approaches used to find inherent patterns and relationships. However, sometimes there is a need to incorporate human in loop approach to find new patterns and relationships. Immersive virtual reality (VR) offers a human centric approach to visualize data by discovering new relationships that an existing algorithm cannot provide. This paper demonstrates the data visualization tool to visualize Baltimore crime data in immersive environment and non-immersive environment. This paper focuses on VR visualization tool design, development, and usability assessment. A pilot user study was conducted for the VR visualization tool based on the system usability scale. The study results show that the crime data visualization tool is relatively easy to use, and that the application can be considered as a storyteller with removing the noise from the data and highlighting the usefulness of the information.

show abstract

Situational Awareness-based Augmented Reality Instructional (ARI) Module for Building Evacuation

Cited by 19 publications

References 21 publications

Exploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

Exploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

Data Analysis and Visualization of Crime Data

Data visualization of crime data using immersive virtual reality

Contact Info

Product

Resources

About