Designing mobile augmented reality art applications:addressing the views of the galleries and the artists

The utilization of mobile augmented reality to display gallery artworks or museum content in novel ways is a well-established concept in the augmented reality research community. However, the focus of these systems is generally technologically driven or only addresses the end user and not the views of the gallery or the original artist. In this paper we discuss the design and development of the mobile application ?Taking the Artwork Home?, which allows people to digitally curate their own augmented reality art exhibitions in their own homes by digitally ?replacing? the pictures they have on their walls with content from the Peter Scott Gallery in Lancaster. In particular, we present the insights gained from a research through design methodology that allowed us to consider how the views of the gallery and artists impacted on the system design and therefore the user experience. Thus the final artifact is the result of an iterative evaluation process with over 100 users representing a broad range of demographics and continues to be evaluated/enhanced by observing its operation ?in the wild?. Further, we consider the effect the project has had on gallery practices to enable both augmented reality designers, and galleries and museums to maximize the potential application of the technology when working together on such project

Using Computer Vision Technologies to Make the Virtual Visible

Mobile Life CentreMobile 2.

PhoneGuide: Museum Guidance Supported by On-Device Object Recognition on Mobile Phones

We present PhoneGuide – an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-layer perceptron neuronal networks. In contrast to related systems which perform computational intensive image processing tasks on remote servers, our intention is to carry out all computations directly on the phone. This ensures little or even no network traffic and consequently decreases cost for online times. Our laboratory experiments and field surveys have shown that photographed museum exhibits can be recognized with a probability of over 90%. We have evaluated different feature sets to optimize the recognition rate and performance. Our experiments revealed that normalized color features are most effective for our method. Choosing such a feature set allows recognizing an object below one second on up-to-date phones. The amount of data that is required for differentiating 50 objects from multiple perspectives is less than 6KBytes

Services surround you:physical-virtual linkage with contextual bookmarks

Our daily life is pervaded by digital information and devices, not least the common mobile phone. However, a seamless connection between our physical world, such as a movie trailer on a screen in the main rail station and its digital counterparts, such as an online ticket service, remains difficult. In this paper, we present contextual bookmarks that enable users to capture information of interest with a mobile camera phone. Depending on the user’s context, the snapshot is mapped to a digital service such as ordering tickets for a movie theater close by or a link to the upcoming movie’s Web page