Using visual and auditory cues to locate out-of-view objects in head-mounted augmented reality

Binetti, Nicola; Wu, Luyan; Chen, Shiping; Kruijff, Ernst; Julier, Simon; Brumby, Duncan P.

doi:10.1016/j.displa.2021.102032

Cited by 28 publications

(5 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The user interface in AR systems facilitates two-way communication between the system and the user. Various technologies are used, such as tactile feedback [40] and audio prompts [41]. Prominent user input methods include gesture recognition [42,43], eye tracking [44,45], speech recognition [46], and other task-specific hardware.…”

Section: User Interfacementioning

confidence: 99%

Augmented Reality in Industry 4.0 Assistance and Training Areas: A Systematic Literature Review and Bibliometric Analysis

Morales Méndez,

del Cerro Velázquez

2024

Electronics

View full text Add to dashboard Cite

Augmented reality (AR) technology is making a strong appearance on the industrial landscape, driven by significant advances in technological tools and developments. Its application in areas such as training and assistance has attracted the attention of the research community, which sees AR as an opportunity to provide operators with a more visual, immersive and interactive environment. This article deals with an analysis of the integration of AR in the context of the fourth industrial revolution, commonly referred to as Industry 4.0. Starting with a systematic review, 60 relevant studies were identified from the Scopus and Web of Science databases. These findings were used to build bibliometric networks, providing a broad perspective on AR applications in training and assistance in the context of Industry 4.0. The article presents the current landscape, existing challenges and future directions of AR research applied to industrial training and assistance based on a systematic literature review and citation network analysis. The findings highlight a growing trend in AR research, with a particular focus on addressing and overcoming the challenges associated with its implementation in complex industrial environments.

show abstract

Section: User Interfacementioning

confidence: 99%

Augmented Reality in Industry 4.0 Assistance and Training Areas: A Systematic Literature Review and Bibliometric Analysis

Morales Méndez,

del Cerro Velázquez

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…Furthermore, spatial hearing enables us to locate sound sources with great precision, even when we are not able to see the object where the sound is coming from. Sound as an aid to locating out-of-view objects has been studied [3,47]. However, auditory cues are limited to events that make a distinguishable sound and are unavailable to deaf or hearing-impaired individuals who cannot rely on this natural mechanism.…”

Section: Enhancing Spatial Awareness With Peripheral Cuesmentioning

confidence: 99%

MoPeDT: A Modular Head-Mounted Display Toolkit to Conduct Peripheral Vision Research

Albrecht¹,

Assländer²,

Reiterer³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Although interacting in an AR application can be challenging and irritating, the use of visual cue design is vital to make the interactions appear more realistic [12]. The 2-dimensional control environment does not adapt well to 3-dimensional space, making users apprehensive to discover their surroundings in specific AR applications that use a 2-dimension device as an interactive surface [13]. Therefore, designers could utilize visual clues to support and encourage users to explore their environment to address this problem [14].…”

Section: B Visual Design In Augmented Realitymentioning

confidence: 99%

Heuristic Evaluation on Affective 4-Dimensional Augmented Reality Mathematics for Children with Low Vision

Aziz¹,

Ahmad²,

Binsaleh³

et al. 2023

IJIET

View full text Add to dashboard Cite

Low-vision children need engaging technology to explore learning materials regardless of visual impairment, which usually restricts their access to innovative learning tools. Understanding and learning fractions in Mathematics could be challenging for them as it requires conceptualization and visualization of the divisional concept. Having considered their ability to visualize the learning content, this study introduced a mobile 4-Dimensional Augmented Reality with the inclusion of affective attributes, which are feeling, thought, emotion, and action, known as Affective 4-Dimensional Augmented Reality Mathematics for Low Vision (ARM4LV). Before the apps are introduced to the targeted users, this study conducts a heuristic evaluation to extract comments and suggestions from the perspective of experts and validate the prototype. The heuristic evaluation is based on Nielsen and Molich’s 10 Heuristics with nine principles and engaged with six experts. They were involved in two phases of evaluation sessions. Results revealed that all experts strongly agreed that the prototype is usable and applicable to low vision needs with the overall mean score being 4.7. However, it still requires some improvement and enhancement in terms of user control expectations which will be further explored in the future.

show abstract

Using visual and auditory cues to locate out-of-view objects in head-mounted augmented reality

Cited by 28 publications

References 63 publications

Augmented Reality in Industry 4.0 Assistance and Training Areas: A Systematic Literature Review and Bibliometric Analysis

Augmented Reality in Industry 4.0 Assistance and Training Areas: A Systematic Literature Review and Bibliometric Analysis

MoPeDT: A Modular Head-Mounted Display Toolkit to Conduct Peripheral Vision Research

Heuristic Evaluation on Affective 4-Dimensional Augmented Reality Mathematics for Children with Low Vision

Contact Info

Product

Resources

About