Today, I looked at a research paper from 2010 entitled Personalized Sightseeing Tours SupportUsing Mobile Devices. These researchers described their plans to migrate a sightseeing desktop application to Android devices for users on the go. It is similar to some other articles I've read on these types of applications in that they want it to be a context-aware system, use some augmented reality for ease of use, and draw on the user's profile settings, location, and other filters like collaborative ratings. The basic architecture they've planned is shown below.
(image from the paper)
The unique thing about this article is the researchers' description of their system's occasionally-connected behavior. They recognized the limitations of mobile solutions: the current lack of 100% internet availability, the increased battery use of an active internet connection, and the lower (on average) speed of mobile internet. Based on the user's context variables, particularly location, the system will grab a chunk of relevant data and store it locally on the phone using SQLite. Through periodic polling, the system will grab new data as it needs, which should not be too often. Using this method, the user can change their sightseeing preferences and get results in real-time, even without an active internet connection.
For our application, we will probably be needing to store some content locally, deleting it as necessary. The approach taken by these researchers is a good stepping stone toward that.
Thanks and gig 'em!
Anacleto, Ricardo; Figueiredo, Lino; Luz, Nuno. 2010. Personalized Sightseeing Tours Support Using Mobile Devices. Human-Computer Interaction - IFIP Advances in Information and Communication Technology. Springer Boston, pp. 301-304.
doi: 10.1007/978-3-642-15231-3_35
URL: http://dx.doi.org/10.1007/978-3-642-15231-3_35
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