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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.
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.
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Carers have an intimate knowledge of the patient and can support and comfort them. But these carers also need support, comfort and recognition, and at Worcestershire Health and Care Trust Older Patient Inpatient Mental Health Service, we are working to make this happen.
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
CPA Service User Champions, who have been trained by Nottinghamshire Healthcare NHS Foundation Trust’s Care Programme Approach / Mental Health Act team as part of our CCA award-winning course, are now using the skills that they have gained to deliver training and information to clinicians via the innovative development of snappy video clips.
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
NHS England has today announced a £1.75m investment in an innovative family-based initiative to help more people to be cared for in a home, not a hospital.
The Shared Lives model will support people who have needs which make it hard for them to live on their own, by carefully matching them with a carer to share their family and lives, giving care and support in the community.
People using the scheme may have learning disabilities, dementia, mental health problems or other needs which require long or short term support. It will offer them the opportunity to either live with their matched and approved Shared Lives carer, or visit them regularly for day support or overnight breaks.
This HPOE guide, a collaboration with the American Society for Healthcare Engineering, explores ways hospital and health system leaders can use the physical environment to improve the patient experience.
Community Treatment Orders (CTOs) are often complex because of the ethical tensions created by an intervention that aims at promoting the patient’s good through an inherently coercive process. There is limited research that examines the complexity of CTOs and how patients on CTOs and workers administering CTOs make sense of their experiences.
Idea To create a carer’s passport that provides details of the main carer and gives them greater access to assist in providing care. The carer’s passport opens up hospital wards to carers of patients living with Alzheimer’s or one of the other forms of dementia and has been adopted successfully at other hospitals.
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M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)
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M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)
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H. Troitzsch, C. Clases, C. Sengstag, and D. Miller. zeitschrift für e-learning – lernkultur und bildungstechnologie, E-Learning und Wissensmanagement (1):
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M. Atzmueller, J. Baumeister, and F. Puppe. Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine, 37 (1):
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M. Atzmueller, J. Baumeister, and F. Puppe. Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine, 37 (1):
19--30(2006)
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S. Fiore, P. Wright, and A. Edwards. CC '05: Proceedings of the 4th decennial conference on Critical computing: between sense and sensibility, (August 2005)