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Locast is an innovative platform for sharing and discovering location-based user-generated videos and production quality multimedia content provided by RAI TV. It consists of a combination of mobile and wearable computing elements supported by a distributed Web application. Content gathered from RAI TV’s historical archives and user-generated media are linked to physical locations in Venice in order to be accessible to all those visiting the space.
The project focuses on the uniqueness of the Italian cities’ heritage superimposing a layer that corresponds to the shared media-based memory of the recent Italian past: the RAI Archives. By taking advantage of the interactivity provided by new media, RAI offers a powerful feedback channel to users, which allows users to generate their own media, create their own stories and, finally, to participate in the media production process.
Locast offers to users the tools to build personalized itineraries, download the content in proximity of Points of Interests and watch them on their handsets in order to improve the overall tourist experience. Users can also perform a number of other actions such as contribute with new videos to Locast repository, follow recommended media itineraries, modify them and share experiences with their social network.
Locast explores location-based narrowcasting potential and actively engages the users to participate in the media production/consumption process together with a historical institution such as RAI TV. It shifts the innovation from the wide-spread concept of Web2.0 to the promising scenario of Space2.0 that keeps the physical and social qualities of the Italian cities and augment them with the potential offered by pervasive computing.
This document provides an in-depth look at the process used in trying to solve real issues with the User Experience of a social bookmarking application. While it might be easy to simply take the first solution that works and assume that it’s the best solution, the first solution is very rarely the best solution. We found several solutions to several problems, and many of them worked and appeared to be decent solutions. It was only upon further investigation and doing more detailed research that we found hidden flaws in some solutions, issues with user satisfaction in other solutions, and even found some solutions that broke entirely under certain conditions.
This paper will describe the problems we faced in detail and then provide an explanation of the solutions evaluated for each problem, including the benefits and drawbacks of each solution. We will also identify the final solution chosen and why it was chosen.
A screening tool has been developed that will allow nurses to identify when unpaid carers are exhausted, feeling overwhelmed and in need of respite care or other support. To read the full article, log in using your NHS Athens
Carl is a mental health campaigner who loves poetry. Here he blogs about how reading, writing or even performing can help your wellbeing, and gives his tips on how to get started...
We think that we need a new strategy for carers that sets out how more can be done to support them. It needs to reflect their lives now, their health and financial concerns, and give them the support they need to live well while caring for a family member or friend.
To help us develop the strategy, we want to hear from carers, those who have someone who care for them, business, social workers, NHS staff and other professionals that support carers.
In the latest in a series of blogs about health care for ex-service personnel, wife Jane (not her real name) gives heartfelt insight into what it is like for the families of veterans scarred by what they have seen and been through
Melissa Bunting and Catharine Jenkins investigate the effect of caring among different cultural groups and recommend culturally congruent interventions to support carers. Login using your SSSFT NHS OpenAthens details for full text. SSOTP - request a copy of the article from the library http://bit.ly/1Xyazai
J. Hartmann, A. Angeli, and A. Sutcliffe. CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, (April 2008)
M. Atzmueller, J. Baumeister, and F. Puppe. Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine, 37 (1):
19--30(2006)