Visualization of physical library shelves to facilitate collection management and retrieval

Jervis, Matthew; Masoodian, Masood

doi:10.1145/2494603.2480321

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…Other approaches process images from cameras (fixed or mobile) to detect the locations. Moreover, techniques based on augmented reality have also been incorporated [270].…”

Section: Documents In Digitalmentioning

confidence: 99%

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

Ilarri

Hermoso

Trillo-Lado

et al. 2015

International Journal of Distributed Sensor Networks

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Recommendation systems are specialized in offering suggestions about specific items of different types (e.g., books, movies, restaurants, and hotels) that could be interesting for the user. They have attracted considerable research attention due to their benefits and also their commercial interest. Particularly, in recent years, the concept of context-aware recommendation system has appeared to emphasize the importance of considering the context of the situations in which the user is involved in order to provide more accurate recommendations. The detection of the context requires the use of sensors of different types, which measure different context variables. Despite the relevant role played by sensors in the development of context-aware recommendation systems, sensors and recommendation approaches are two fields usually studied independently. In this paper, we provide a survey on the use of sensors for recommendation systems. Our contribution can be seen from a double perspective. On the one hand, we overview existing techniques used to detect context factors that could be relevant for recommendation. On the other hand, we illustrate the interest of sensors by considering different recommendation use cases and scenarios.

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“…Other approaches process images from cameras (fixed or mobile) to detect the locations. Moreover, techniques based on augmented reality have also been incorporated [270].…”

Section: Documents In Digitalmentioning

confidence: 99%

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

Ilarri

Hermoso

Trillo-Lado

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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“…In order to re-find documents, SOPHYA augments the physical space with displays and LEDs. Furthermore, the same research team presented Metis [8] which adapted the electronic circuit and conductive path technology used in SOPHYA to support the tracking of other physical artefacts such as books. Metis also enables third-party applications to query the metadata of tracked physical artefacts.…”

Section: Introductionmentioning

confidence: 99%

PimVis

Trullemans

Sanctorum

Signer

2016

Proceedings of the International Working Conference on Advanced Visual Interfaces

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Over the last decade, we have witnessed an emergence of Personal Information Management (PIM) solutions. Despite the fact that paper documents still form a significant part of our daily working activities, existing PIM systems usually support the organisation and re-finding of digital documents only. While physical document tracking solutions such as RFID-or computer vision-based systems are recently gaining some attention, they usually focus on the paper document tracking and offer limited support for refinding activities. We present PimVis, a solution for exploring and re-finding digital and paper documents in so-called cross-media information spaces. The PimVis user interface enables a unified organisation of digital and paper documents through the creation of bidirectional links between the digital and physical information space. The presented personal cross-media information management solution further supports the extension with alternative document tracking techniques as well as augmented reality solutions. A formative PimVis evaluation revealed the high potential of fully integrated cross-media PIM solutions. CCS Concepts•Human-centered computing → User interface management systems; Visualization toolkits; Ubiquitous and mobile computing systems and tools;

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“…The SOPHYA framework provides a way to track ordered collections of artefacts such as folders which have been augmented with electronic circuits. In addition, artefacts can be enhanced with re-finding user interfaces such as an LED strip in a bookshelf which lights up when a user searches for the corresponding artefact [10]. Although the SOPHYA framework is extensible to support various kinds of organisational structures, it is necessary that all tracked artefacts are augmented with electronic circuits which might not be an ideal solution for every office setting.…”

Section: Introductionmentioning

confidence: 99%

DocTr

Trullemans

Vercruysse

Signer

2016

Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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Despite major advancements in digital document management, paper documents still play an important role in our daily work and are often used in combination with digital documents and services. Over the last two decades, we have seen a number of augmented reality solutions helping users in managing their paper documents in office settings. However, since data is mainly managed at the application layer, the use of multiple document tracking setups results in fragmented and inconsistent tracking data. Furthermore, existing tracking solutions often focus on the tracking of paper documents in organisational structures such as folders or filing cabinets without taking into account the flow of documents across these organisational structures. We present the Document Tracking (DocTr) framework for unifying existing document tracking setups and managing document metadata across organisational structures. The DocTr framework has been implemented based on a user-centric requirements analysis and simplifies the development of interactive computing systems for personal cross-media information management.

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Visualization of physical library shelves to facilitate collection management and retrieval

Cited by 9 publications

References 15 publications

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

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