An official website of the United States government
In room-clearing tasks, SWAT team members suffer from a lack of initialenvironmental information: knowledge about what is in a room and what relevance or threat level it represents for mission parameters. Normally this gap in situation awareness is rectified only upon room entry, forcing SWAT team members to rely on quick responses and near-instinctual reactions. This can lead to dangerously escalating situations or important missed information which, in turn, can increase the likelihood of injury and even mortality. Thus, we present an x-ray vision system for the dynamic scanning and display of room content, using a robotic platform to mitigate operator risk. This system maps a room using a robot-equipped stereo depth camera and, using an augmented reality (AR) system, presents the resulting geographic information according to the perspective of each officer. This intervention has the potential to notably lower risk and increase officer situation awareness, all while team members are in the relative safety of cover. With these potential stakes, it is important to test the viability of this system natively and in an operational SWAT team context.
more »
« less
An X-Ray Vision System for Situation Awareness in Action Space
Usable x-ray vision has long been a goal in augmented reality research and development. X-ray vision, or the ability to view and understand information presented through an opaque barrier, would be imminently useful across a variety of domains. Unfortunately, however, the effect of x-ray vision on situation awareness, an operator's understanding of a task or environment, has not been significantly studied. This is an important question; if x-ray vision does not increase situation awareness, of what use is it? Thus, we have developed an x-ray vision system, in order to investigate situation awareness in the context of action space distances.
more »
« less
- Award ID(s):
- 1937565
- PAR ID:
- 10316624
- Date Published:
- Journal Name:
- IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW 2021)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Cho, Isaac; Hoermann, Simon; Krösl, Katharina; Zielasko, Daniel; Cidota, Marina (Ed.)Accurate and usable x-ray vision is a significant goal in augmented reality (AR) development. X-ray vision, or the ability to comprehend location and object information when it is presented through an opaque barrier, needs to successfully convey scene information to be a viable use case for AR. Further, this investigation should be performed in an ecologically valid context in order to best test x-ray vision. This research seeks to experimentally evaluate the perceived object location of stimuli presented with x-ray vision, as compared to real-world perceived object location through a window, at action space distances of 1.5 to 15 meters.more » « less
-
Social media data have been used to improve geographic situation awareness in the past decade. Although they have free and openly availability advantages, only a small proportion is related to situation awareness, and reliability or trustworthiness is a challenge. A credibility framework is proposed for Twitter data in the context of disaster situation awareness. The framework is derived from crowdsourcing, which states that errors propagated in volunteered information decrease as the number of contributors increases. In the proposed framework, credibility is hierarchically assessed on two tweet levels. The framework was tested using Hurricane Harvey Twitter data, in which situation awareness related tweets were extracted using a set of predefined keywords including power, shelter, damage, casualty, and flood. For each tweet, text messages and associated URLs were integrated to enhance the information completeness. Events were identified by aggregating tweets based on their topics and spatiotemporal characteristics. Credibility for events was calculated and analyzed against the spatial, temporal, and social impacting scales. This framework has the potential to calculate the evolving credibility in real time, providing users insight on the most important and trustworthy events.more » « less
-
Actionability in a Situation Awareness world: Implications for social media processing system designAnouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel (Ed.)The field of crisis informatics now has a decade-long history of designing tools that leverage social media to support decision-makers situation awareness. Despite this history, there remains few examples of these tools adopted by practitioners. Recent fieldwork with public safety answering points and first responders has led to an awareness of the need for tools that gather actionable information, rather than situational awareness alone. This paper contributes to an ongoing discussion about these concepts by proposing a model that embeds the concept of actionable information into Endsley's model of situation awareness. We also extend the insights of this model to the design implications of future information processing systems.more » « less
-
The design of self-driving vehicles requires an understanding of the social interactions between drivers in resolving vague encounters, such as at un-signalized intersections. In this paper, we make the case for social situation awareness as a model for understanding everyday driving interaction. Using a dual-participant VR driving simulator, we collected data from driving encounter scenarios to understand how (N=170) participant drivers behave with respect to one another. Using a social situation awareness questionnaire we developed, we assessed the participants’ social awareness of other driver’s direction of approach to the intersection, and also logged signaling, speed and speed change, and heading of the vehi- cle. Drawing upon the statistically significant relationships in the variables in the study data, we propose a Social Situation Awareness model based on the approach, speed, change of speed, heading and explicit signaling from drivers.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/VRW52623.2021.00179
