ARCAMA-3D – A Context-Aware Augmented Reality Mobile Platform for Environmental Discovery

Aydın, Betül; Gensel, Jérôme; Calabretto, Sylvie; Tellez, Bruno

doi:10.1007/978-3-642-29247-7_2

Cited by 16 publications

(5 citation statements)

References 14 publications

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“…ARCAMA-3D (Augmented Reality for Context Aware Mobile Applications with 3D) is a mobile application that we have developed in our previous work for the location-based information discovery [1], [2]. In this paper, we show how we extend it using our architecture, in order to make it possible for mobile users to access the information related to their surroundings through a 3D AR interface.…”

Section: Arcama-3dmentioning

confidence: 92%

An architecture for surroundings discovery by linking 3D models and LOD cloud

Aydın

Gensel

Genoud

et al. 2013

Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems

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The Linked Open Data (LOD) cloud contains vast spatiotemporal information that can be exploited by the locationbased mobile applications and presented using Augmented Reality (AR). While AR shows to be well suited for searching and browsing location-based information, most approaches focus on domain specific scenarios and there is no generic data model for the information search and discovery that could be re-used in various applications. The geo-referenced data, however, is already available on the LOD cloud and can be exploited to provide location-based information to the user. With this approach, in this paper, we present a generic architecture for the surroundings discovery mobile applications. The 3D models that we publish on the LOD cloud represent the real world objects that belong to different temporal intervals. These geometric models allow the user to mentally construct the referential relationship between virtual and real-world objects and the mobile applciation developer to create experiences based on different concepts on the cloud. This way, the LOD cloud, which is a growing structured source of semantic data, becomes the main source of information for the architecture, and facilitates the knowledge discovery. We also extend our mobile location-based application, ARCAMA-3D (Augmented Reality for Context Aware Mobile Applications with 3D) that we have developed previously, by using this architecture.

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Section: Arcama-3dmentioning

confidence: 92%

An architecture for surroundings discovery by linking 3D models and LOD cloud

Aydın

Gensel

Genoud

et al. 2013

Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems

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“…The semantic filtering approaches based upon users' current goals usually necessitate the explicit specification of a user's current task [26], [29]. The user's current location and focus were also tracked with Fiducial markers [27], GPS [28], semantic zooming [32], MagicLenses [33], [34], and cloud anchors [35]. On top of constructing persistent data-location associations, object classification was also applied to dynamically identify objects within the user's current focus [10], [18], [30], [31], [35], [36], among which tracking the user's focal object based on natural feature analysis allows for relevant data localization [10], [30] with less constraining knowledge [37].…”

Section: A Ar Decision Support Systems In Smart Environmentsmentioning

confidence: 99%

STARE: Augmented Reality Data Visualization for Explainable Decision Support in Smart Environments

et al. 2022

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The Internet of Things (IoT) provides unprecedented opportunities for the access to and conflation of a myriad of heterogeneous data to support real-time decision-making within smart environments. Augmented Reality (AR) is on cusp of becoming mainstream and will allow for the ubiquitous visualization of IoT derived data. Such visualization will simultaneously permit the cognitive and visual binding of information to the physical object(s) to which they pertain. Important questions exist as to how one can efficiently filter, prioritize, determine relevance and adjudicate on individual information needs in support of real-time decision making. To this end, this paper proposes a novel AR decision support framework (STARE) to support immediate decisions within a smart environment by augmenting the user's focal objects with assemblies of semantically relevant IoT data and corresponding suggestions. In order to evaluate this technique, a remote user study was undertaken within a simulated smart home environment. The evaluation results demonstrate that the proposed Semantic Augmented Reality decision support framework leads to a reduction in information overloading and enhanced effectiveness, both in terms of IoT data interpretation and decision support.

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“…In particular, the use of AR with mobile devices can be successful in supporting users' everyday interactions and their navigation in real space [8,9]. Mobile devices are personal and portable, so they can physically move with people, keep track of their context [7], and provide users with information regarding their surroundings [1]. However, mobile devices typically need to be held when using them to support AR, which can be tiring and limits the possibilities for hands-free use to enable other activities.…”

Section: Introductionmentioning

confidence: 99%

Development of an Inexpensive Augmented Reality (AR) Headset

Angeli

O’Neill

2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

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We outline our work in developing an Augmented Reality (AR) headset with low purchase and maintenance costs. Similar to Google Cardboard, the headset uses a smartphone to provide the compute power, connectivity and display. Unlike Google Cardboard, our headset does not block the user's view of the world and is therefore suitable for AR applications. The headset uses the Pepper's Ghost illusion to display images from the phone's screen via a transparent sheet located in front of the user's eyes. During a pilot study, we confirmed that the headset is effective in settings with low to medium levels of ambient illumination: in these conditions we demonstrated the effectiveness of using a mobile phone's standard screen brightness settings to present a range of photos, 3D images, short texts and shapes.

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ARCAMA-3D – A Context-Aware Augmented Reality Mobile Platform for Environmental Discovery

Cited by 16 publications

References 14 publications

An architecture for surroundings discovery by linking 3D models and LOD cloud

An architecture for surroundings discovery by linking 3D models and LOD cloud

STARE: Augmented Reality Data Visualization for Explainable Decision Support in Smart Environments

Development of an Inexpensive Augmented Reality (AR) Headset

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