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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 talk given at WDCNZ 2011. Abstract:
We all know what “user experience” is and we know that it’s important. We analyze drop-off rates for sign-in flows, do A/B testing on color schemes, and organize user focus groups for new features. But we rarely talk about the “developer experience” - what we all go through each time we try to use a developer tool, library, or API. How do we decide what tool to use? Is it easy to integrate with our development environment? How flexible is the API? Where do we go when something goes wrong? Those are the sort of questions that we can ask to understand what it’s like for a developer to use a product - and where it can be improved.
Whether you simply use developer products or you actually build one yourself, you should walk away from this talk with ideas on how to make a great developer experience - and why it matters.
J. Hartmann, A. Angeli, und A. Sutcliffe. CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, (April 2008)
M. Atzmueller, J. Baumeister, und F. Puppe. Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine, 37 (1):
19--30(2006)