Glanceable AR: Evaluating Information Access Methods for Head-Worn Augmented Reality

Lu, Feiyu; Davari, Shakiba; Lisle, Lee; Li, Yuan; Bowman, Doug A.

doi:10.1109/vr46266.2020.00113

Cited by 53 publications

(23 citation statements)

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“…That is, people do not fail to look in the blindspot of their car because of the cognitive effort associated with doing so (e.g., time), but rather the physiological costs of making a head movement or torso rotation. Also, this null effect speaks favorably to both the lightweight and low inertia of the Hololens 2 AR-HMD and to the concept of Glanceable AR (Lu et al, 2020) and presenting information via an AR-HMD, in general.…”

Section: Discussionmentioning

confidence: 94%

“…While overlaying information minimizes the cost of scanning, overlaid information can obscure information in another domain, thereby reducing legibility and ultimately imposing a cost of clutter. Designers have opted to place some virtual content near the periphery or beyond the display (Lu et al, 2020) to avoid clutter costs. However, locating information in other areas could increase scan time and cause fatigue when accessing information over time.…”

Section: Introductionmentioning

confidence: 99%

“…The effect of display separation on IAE when using AR-HMDs remains unclear. AR-HMDs possess the capability of overlaying information in the near and far domain or positioning virtual content out of the forward FOV, as with the concept of "Glanceable AR" (Lu et al, 2020). Positioning the virtual content of an AR-HMD is an important decision.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Information Access Effort: Are Head Movements “Cheap” or Even “Free”?

Warden

Wickens

Daniel

et al. 2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Augmented reality head-mounted displays (AR-HMDs) can present information at the center field of view (FOV) to 360° around the user. Deciding where to place virtual content when using an AR-HMD could directly impact the effort required to access information for different tasks. The current paradigm investigated the cost of information access effort for two different tasks presented on a virtual display using an AR-HMD. Participants made comparison judgments for two types of tasks (focused attention and computation integration) based on information presented at increasing lateral distances from the left side of the virtual display. Results showed no loss in performance as predicted by the Information Access Effort function. However, results show that evoking head movements played a significant role in restoring and preserving accuracy at greater visual eccentricities without hindering response time.

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Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Information Access Effort: Are Head Movements “Cheap” or Even “Free”?

Warden

Wickens

Daniel

et al. 2022

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Some research has already pioneered gaze-assisted UI to access more contextual information Ajanki et al [2011], Lu et al [2020], Pathmanathan et al [2020], Sasikumar et al [2019]. It has been shown that the optical see-through (OST) HMD which harnesses human gaze with eye-tracking as the interaction metaphor can contribute to efficient results Looser et al [2007].…”

Section: Ar With Gaze Assistancementioning

confidence: 99%

See or Hear? Exploring the Effect of Visual and Audio Hints and Gaze-assisted Task Feedback for Visual Search Tasks in Augmented Reality

Zhang¹,

Nowak²,

Xuan³

et al. 2023

Preprint

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Augmented reality (AR) is emerging in visual search tasks for increasingly immersive interactions with virtual objects. We propose an AR approach providing visual and audio hints along with gazeassisted instant post-task feedback for search tasks based on mobile head-mounted display (HMD). The target case was a book-searching task, in which we aimed to explore the effect of the hints together with the task feedback with two hypotheses. H1: Since visual and audio hints can positively affect AR search tasks, the combination outperforms the individuals. H2: The gaze-assisted instant post-task feedback can positively affect AR search tasks. The proof-of-concept was demonstrated by an AR app in HMD and a comprehensive user study (n=96) consisting of two sub-studies, Study I (n=48) without task feedback and Study II (n=48) with task feedback. Following quantitative and qualitative analysis, our results partially verified H1 and completely verified H2, enabling us to conclude that the synthesis of visual and audio hints conditionally improves the AR visual search task efficiency when coupled with task feedback.

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“…Further, we analyzed and adopted information-presentation methods (i.e. registration, media types, semi-transparent effect and rotation) proposed as guidelines for AR assembly task support [43] and explored information access and peripheral awareness methods discussed in a study related to information access methods for HMD AR [23]. We followed and adopted guidelines to ensure the usability and effectiveness of the proposed solution, on the shop floor, independently on the assembly environment.…”

Section: Ux Design Principlesmentioning

confidence: 99%

A low-cost AR training system for manual assembly operations

Lavric

Bricard

Preda³

et al. 2022

COMSIS J

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This research work aims to provide an AR training system adapted to industry, by addressing key challenges identified during a long-term case study conducted in a boiler-manufacturing factory. The proposed system relies on low-cost visual assets (i.e. text, image, video and predefined auxiliary content) and requires solely a head-mounted display (HMD) device (i.e. Hololens 2) for both authoring and training. We evaluate our proposal in a real-world use case by conducting a field study and two field experiments, involving 5 assembly workstations and 30 participants divided into 2 groups: (i) low-cost group (G-LA) and (ii) computer-aided design (CAD)-based group (G-CAD). The most significant findings are as follows. The error rate of 2.2% reported by G-LA during the first assembly cycle (WEC) suggests that low-cost visual assets are sufficient for effectively delivering manual assembly expertise via AR to novice workers. Our comparative evaluation shows that CAD-based AR instructions lead to faster assembly (-7%, -18% and -24% over 3 assembly cycles) but persuade lower user attentiveness, eventually leading to higher error rates (+38% during the WEC). The overall decrease of the instructions reading time by 47% and by 35% in the 2nd and 3rd assembly cycles, respectively, suggest that participants become less dependent on the AR instructions rapidly. By considering these findings, we question the worthiness of authoring CAD-based AR instructions in similar industrial use cases.

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Glanceable AR: Evaluating Information Access Methods for Head-Worn Augmented Reality

Cited by 53 publications

References 0 publications

Information Access Effort: Are Head Movements “Cheap” or Even “Free”?

Information Access Effort: Are Head Movements “Cheap” or Even “Free”?

See or Hear? Exploring the Effect of Visual and Audio Hints and Gaze-assisted Task Feedback for Visual Search Tasks in Augmented Reality

A low-cost AR training system for manual assembly operations

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