AARON: Assistive Augmented Reality Operations and Navigation System for NASA’s Exploration Extravehicular Mobility Unit (xEMU)

Cardenas, Irvin Steve; Lenhoff, Caitlyn; Park, Michelle; Xu, Tina Yuqiao; Lin, Xiangxu; Paladugula, Pradeep Kumar; Kim, Jong-Hoon

doi:10.1007/978-3-030-68452-5_42

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…This paper explores the issue of lunar surface navigation and the design of HUD interfaces to tackle it. By offering pertinent information directly in an astronaut's helmet, HUDs have already shown promise in aiding astronauts during EVAs in Low Earth Orbit [27,33]. However, the design of such solutions for the unique lunar context has historically faced limitations due to the frequent necessity for experimental deployments in analogue environments.…”

Section: Discussionmentioning

confidence: 99%

“…To enhance the perceived authenticity of the virtual testbed, participants were virtually embodied in an xEMU EVA suit [27], complete with a headlamp-equipped helmet. The suit's torso and gloves were rendered visible to the user, who also cast a full-body shadow.…”

Section: Virtual Testbedmentioning

confidence: 99%

“…Confronted with these challenges, a promising avenue of exploration in this domain centers on the use of head-up displays (HUDs) along with relevant technologies, such as Augmented Reality (AR), to superimpose contextually relevant information over the user's view of the real world [33]. These solutions have been suggested to offer benefits across various aspects of human spaceflight, including astronaut navigation [27,36]. HUD solutions have already been successfully utilized to support human navigation in challenging environments on Earth, such as by enhancing the perception and situational awareness of soldiers [80,84] or by supporting the orientation of drone pilots and vehicle drivers [17,68].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Designing for Human Operations on the Moon: Challenges and Opportunities of Navigational HUD Interfaces

Bensch,

Nilsson,

Wulkop

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Future crewed missions to the Moon will face significant environmental and operational challenges, posing risks to the safety and performance of astronauts navigating its inhospitable surface. Whilst head-up displays (HUDs) have proven effective in providing intuitive navigational support on Earth, the design of novel humanspaceflight solutions typically relies on costly and time-consuming analogue deployments, leaving the potential use of lunar HUDs largely under-explored. This paper explores an alternative approach by simulating navigational HUD concepts in a high-fidelity Virtual Reality (VR) representation of the lunar environment. In evaluating these concepts with astronauts and other aerospace experts (n=25), our mixed methods study demonstrates the efficacy of simulated analogues in facilitating rapid design assessments of early-stage HUD solutions. We illustrate this by elaborating key design challenges and guidelines for future lunar HUDs. In reflecting on the limitations of our approach, we propose directions for future design exploration of human-machine interfaces for the Moon.

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Section: Discussionmentioning

confidence: 99%

Section: Virtual Testbedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Designing for Human Operations on the Moon: Challenges and Opportunities of Navigational HUD Interfaces

Bensch,

Nilsson,

Wulkop

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…Although the constructs of observability, predictability, and directability are high-level requirements, the coactive design process laid out by Johnson is relatively simple to follow and helps designers ask questions that they can answer themselves. This ease of use has led to the development of systems supporting joint activity through design specification development, such as an Augmented Reality system extravehicular mobility (Cardenas et al, 2021) and an interdependence model for vehicle-pedestrian encounters (Domeyer et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Human-AI Teaming in the Automotive and Mobility Industry: Guiding Design to Support Joint Activity

Kannally,

Smith,

IJtsma

2023

Proceedings of the Human Factors and Ergonomics Society Annual

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AI technologies hold the potential to improve safety, efficiency, and user experience in automotive and mobility applications, yet to make them useful tools they need to effectively team with humans. Based on field research and experiences on how people coordinate, descriptive models of joint activity propose requirements for effective coordination that can inform the design of cooperative competencies of AI technologies in this domain. Yet, the usefulness of joint activity constructs for design is not only determined by their theoretical validity but also by their practical ability to influence designers. To enable the broader adoption of joint activity constructs, our study aims to characterize the context of design in the automotive industry and develop design guidance to support joint activity. We present our ongoing work to evaluate the ability of these constructs to inform design and to understand their fit within the context of design in the automotive industry.

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XRTI: eXtended Reality Based Telepresence Interface for Multiple Robot Supervision

Wang

Kim

2022

Intelligent Human Computer Interaction

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AARON: Assistive Augmented Reality Operations and Navigation System for NASA’s Exploration Extravehicular Mobility Unit (xEMU)

Cited by 4 publications

References 16 publications

Designing for Human Operations on the Moon: Challenges and Opportunities of Navigational HUD Interfaces

Designing for Human Operations on the Moon: Challenges and Opportunities of Navigational HUD Interfaces

Human-AI Teaming in the Automotive and Mobility Industry: Guiding Design to Support Joint Activity

XRTI: eXtended Reality Based Telepresence Interface for Multiple Robot Supervision

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