Adaptive information density for augmented reality displays

Tatzgern, Markus; Orso, Valeria; Kalkofen, Denis; Jacucci, Giulio; Gamberini, Luciano; Schmalstieg, Dieter

doi:10.1109/vr.2016.7504691

Cited by 54 publications

(29 citation statements)

References 18 publications

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“…by content, distance, amount, etc.) [104]. Furthermore, the user should be given the option to manually turn feedback on and off, as well as configure cue parameters to suit individual needs.…”

Section: Wider Field Of Viewmentioning

confidence: 99%

Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays

Trepkowski

Marquardt

Eibich

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1: Demonstration of proximity and transition cues in an augmented reality city information system scenario. Being aware of newly emerging, yet potentially important information can become difficult in dynamic environments. Proximity cues (left side) provide spatial information in either the visual or the auditory modality and help users to become aware of out-of-view objects ("target"). When the target crosses the border of the field of view of the visual output device, the proximity cue is replaced by a transition cue (right side). A short visual, auditory or tactile notification signals the user that the target entered the field of view and is potentially visible.

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Section: Wider Field Of Viewmentioning

confidence: 99%

Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays

Trepkowski

Marquardt

Eibich

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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show abstract

“…The optimization of information placement [2] with user cognitive loads [33], as well as content management [7] under HTML 5 framework through connecting the sensor data and web content, improves the usability of AR web browser and hence achieves easier user interaction. The recent works build a hierarchy to organise and visualize high volume of information in AR displays [41], and adopt a flattened hierarchy for easier content acquisition [17]. Although the latest works address the information display on AR web browser and the gestural interaction, the user interaction among these framework are not thoroughly studied.…”

Section: Related Workmentioning

confidence: 99%

A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser

Lam

Lee

Hui

2021

Proceedings of the 29th ACM International Conference on Multimedia

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Augmented Reality (AR) offers new capabilities for blurring the boundaries between physical reality and digital media. However, the capabilities of integrating web contents and AR remain underexplored. This paper presents an AR web browser with an integrated context-aware AR-to-Web content recommendation service named as A2W browser, to provide continuously user-centric web browsing experiences driven by AR headsets. We implement the A2W browser on an AR headset as our demonstration application, demonstrating the features and performance of A2W framework. The A2W browser visualizes the AR-driven web contents to the user, which is suggested by the content-based filtering model in our recommendation system. In our experiments, 20 participants with the adaptive UIs and recommendation system in A2W browser achieve up to 30.69% time saving compared to smartphone conditions. Accordingly, A2W-supported web browsing on workstations facilitates the recommended information leading to 41.67% faster reaches to the target information than typical web browsing. CCS CONCEPTS• Human-centered computing → Mixed / augmented reality; Web-based interaction.

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“…Tatzgern et al propose a method for clustering information labels in AR. Individual pieces of information are leaf nodes in a tree structure ( Tatzgern et al, 2016 ). An algorithm clusters information based on their similarity or spacial proximity and displays a level of detail corresponding to the amount of space in the field of view of the AR.…”

Section: Related Workmentioning

confidence: 99%

Exploring Effects of Information Filtering With a VR Interface for Multi-Robot Supervision

2021

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Supervising and controlling remote robot systems currently requires many specialised operators to have knowledge of the internal state of the system in addition to the environment. For applications such as remote maintenance of future nuclear fusion reactors, the number of robots (and hence supervisors) required to maintain or decommission a facility is too large to be financially feasible. To address this issue, this work explores the idea of intelligently filtering information so that a single user can supervise multiple robots safely. We gathered feedback from participants using five methods for teleoperating a semi-autonomous multi-robot system via Virtual Reality (VR). We present a novel 3D interaction method to filter the displayed information to allow the user to read information from the environment without being overwhelmed. The novelty of the interface design is the link between Semantic and Spatial filtering and the hierarchical information contained within the multi robot system. We conducted a user study including a cohort of expert robot teleoperators comparing these methods; highlighting the significant effects of 3D interface design on the performance and perceived workload of a user teleoperating many robot agents in complex environments. The results from this experiment and subjective user feedback will inform future investigations that build upon this initial work.

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Adaptive information density for augmented reality displays

Cited by 54 publications

References 18 publications

Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays

Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays

A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser

Exploring Effects of Information Filtering With a VR Interface for Multi-Robot Supervision

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