Month: April 2018

A look back at UCDS at ICT.Open2018

~ Victor ~ Leave a comment

Two weeks ago, ICT.Open2018 was held in Amersfoort. This event brings together Computer Science researchers from all over the Netherlands and our research group was present with many posters and presentations.

We even won a prize! (Well, a 2nd place prize, but awesome nonetheless). Xander Wilcke presented work on using Knowledge Graphs for Machine Learning. He was awarded the runner-up prize for best poster presentation at ICTOpen2018. Congrats!

 

Ronald Siebes presented work in the ArchiMediaL project on reconstructing 4D street views from historical images.

Oana Inel presented her work on Named Entity Recognition and Gold Standard critiquing. She also demonstrated the Clariah MediaSuite.

Anca Dumitrache talked about using crowdsourcing as part of the Machine Learning life cycle.

Tobias Kuhn talked about Reliable Granular References to Changing Linked Data, which was previously published at ISWC2017.

Cristina Bucur introduced  Linkflows: enabling a web of linked semantic publishing workflows

I talked myself a bit about current work in the ABC-Kb Network Institute project

All in all, this was quite a nice edition of the yearly event for our group. See you next year in Amersfoort!

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An Augmented Reality App to Annotate Art

~ Victor ~ Leave a comment

[This post is based on the Bachelor project by Jurjen Braam and reuses content from his thesis]

The value of Augmented Reality applications has been shown for a number of different tasks. Most of these show that AR applications add to the immersiveness of an experience. For his Bachelor Project, VU student Jurjen Braam researched to what extent AR technology makes sense for the task of annotating artworks.

To this end, Jurjen built a mobile application which allows experts or laypeople to add textual annotations to artworks in three different modes. One mode doesnt show the artwork, but allows for textual input, the 2nd mode shows the work in an image and allows for localised annotations. The last mode is the AR mode, which projects the artwork in the physical space, using the device camera and screen.

Three modes of the Application (Text, 2D, AR)

Jurjen evaluated the three modes through a small user study, which showed that immersion and enjoyment was highest in the AR mode but that this mode was least efficient. Also, participants indicated that for annotation tasks, larger screens would be preferable.

User evaluation in action

This research was a unique endeavour combining a proven technology (AR) and well-known task (Annotation) which identified interesting possibilities for follow-up research.

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