Analytic Review of Using Augmented Reality for Situational Awareness

Max Rädler Mark Colley Jonas Glimmann + 1 lainnya

4 Juli 2022

The successful introduction of automated vehicles (AVs) depends on the user's acceptance. To gain acceptance, the intended user must trust the technology, which itself relies on an appropriate understanding. Visualizing internal processes could aid in this. For example, the functional hierarchy of autonomous vehicles distinguishes between perception, prediction, and maneuver planning. In each of these stages, visualizations including possible uncertainties (or errors) are possible. Therefore, we report the results of an online study (N=216) comparing visualizations and their combinations on these three levels using a pre-recorded real-world video with visualizations shown on a simulated augmented reality windshield. Effects on trust, cognitive load, situation awareness, and perceived safety were measured. Situation Prediction-related visualizations were perceived as worse than the remaining levels. Based on a negative evaluation of the visualization, the abilities of the AV were also judged worse. In general, the results indicate the presence of overtrust in AVs.

F. Moreu Jiaqi Xu Derek Doyle

17 Oktober 2021

Augmented Reality (AR) is a technology superimposing interactional virtual objects onto a real environment. Since the beginning of the millennium, AR technologies have shown rapid growth, with significant research publications in engineering and science. However, the civil infrastructure community has minimally implemented AR technologies to date. One of the challenges that civil engineers face when understanding and using AR is the lack of a classification of AR in the context of capabilities for civil infrastructure applications. Practitioners in civil infrastructure, like most engineering fields, prioritize understanding the level of maturity of a new technology before considering its adoption and field implementation. This paper compares the capabilities of sixteen AR Head-Mounted Devices (HMDs) available in the market since 2017, ranking them in terms of performance for civil infrastructure implementations. Finally, the authors recommend a development framework for practical AR interfaces with civil infrastructure and operations.

Deborah Estrin Alana Dinh P. Greenwald + 2 lainnya

18 April 2023

Background Over the last decade, augmented reality (AR) has emerged in health care as a tool for visualizing data and enhancing simulation learning. AR, which has largely been explored for communication and collaboration in nonhealth contexts, could play a role in shaping future remote medical services and training. This review summarized existing studies implementing AR in real-time telemedicine and telementoring to create a foundation for health care providers and technology developers to understand future opportunities in remote care and education. Objective This review described devices and platforms that use AR for real-time telemedicine and telementoring, the tasks for which AR was implemented, and the ways in which these implementations were evaluated to identify gaps in research that provide opportunities for further study. Methods We searched PubMed, Scopus, Embase, and MEDLINE to identify English-language studies published between January 1, 2012, and October 18, 2022, implementing AR technology in a real-time interaction related to telemedicine or telementoring. The search terms were “augmented reality” OR “AR” AND “remote” OR “telemedicine” OR “telehealth” OR “telementoring.” Systematic reviews, meta-analyses, and discussion-based articles were excluded from analysis. Results A total of 39 articles met the inclusion criteria and were categorized into themes of patient evaluation, medical intervention, and education. In total, 20 devices and platforms using AR were identified, with common features being the ability for remote users to annotate, display graphics, and display their hands or tools in the local user’s view. Common themes across the studies included consultation and procedural education, with surgery, emergency, and hospital medicine being the most represented specialties. Outcomes were most often measured using feedback surveys and interviews. The most common objective measures were time to task completion and performance. Long-term outcome and resource cost measurements were rare. Across the studies, user feedback was consistently positive for perceived efficacy, feasibility, and acceptability. Comparative trials demonstrated that AR-assisted conditions had noninferior reliability and performance and did not consistently extend procedure times compared with in-person controls. Conclusions Studies implementing AR in telemedicine and telementoring demonstrated the technology’s ability to enhance access to information and facilitate guidance in multiple health care settings. However, AR’s role as an alternative to current telecommunication platforms or even in-person interactions remains to be validated, with many disciplines and provider-to-nonprovider uses still lacking robust investigation. Additional studies comparing existing methods may offer more insight into this intersection, but the early stage of technical development and the lack of standardized tools and adoption have hindered the conduct of larger longitudinal and randomized controlled trials. Overall, AR has the potential to complement and advance the capabilities of remote medical care and learning, creating unique opportunities for innovator, provider, and patient involvement.

Radu-Daniel Vatavu

27 April 2022

We revisit the foundational principles of Ambient Intelligence (AmI) and Augmented Reality (AR) environments to discuss the perspective that AmI and AR feature the same vision of computing, as intuited at their origins, despite their recent development into what may appear as two distinct areas of scientific investigation. We focus on three concepts core to both AmI and AR, on which we capitalize to argue that a significant philosophical overlap exists between their visions: (1) the concept of an environment that undergoes a form of augmentation, (2) the indispensable process of an integration involving the environment, and (3) the emergence of a specific form of media congruent with the characteristics of the environment in which they are created, transmitted, and consumed. We draw implications for the science and practice of Human-Computer Interaction regarding new interactive environments enabled by the technologies of AmI and AR used conjointly.

M. Fiorentino A. Uva M. Gattullo + 2 lainnya

30 November 2021

This work investigates the possibility of using a novel “minimal AR” authoring approach to optimize the visual assets used in augmented reality (AR) interfaces to convey work instructions in manufacturing. In the literature, there are no widely supported guidelines for the optimal choice of visual assets (e.g., CAD models, drawings, and videos). Therefore, to avoid the risk of having AR technical documentation based only on the author’s preference, our work proposes a novel authoring approach that enforces the minimal amount of information to accomplish a task. Minimal AR was tested through a simulated AR LEGO-based assembly task. The performance (completion time, mental workload, errors) of 40 users was evaluated with 4 combinations of visual assets in 4 tasks with an increasing amount of information needed. The main result is that visual assets with an excess of information do not significantly increase performance. Therefore, the location of a specified object should be “minimally” authored by an auxiliary model (e.g., a circle and an arrow). For identifying an object within a couple, color coding is preferred to using additional visual assets. If more than two objects must be identified, a drawing visual asset is also needed. Only when the orientation of a selected object must be conveyed, animated product models are required. These insights could be helpful for an optimal design of AR work instructions in a wide range of industrial fields.