I'm a PhD student @ Bath Uni researching composable services, and I made this site as somewhere with some info about me, and a bit of an exercise in learning all this new CSS 3 wizardry.
You should use the cirlces at the top to navigate your way around the site, where you can see information about uni, work, me in general, and then lots of ways of getting in contact with me. If you just want to contact me, then feel free to send me an email.
I enjoy programming, currently dabbling in mobile development as well as a bit of web monkeying
A quick link to my CV is here
|First Year||Second Year||Final Year|
|Music & DSP||Parallel Computing|
|Advanced HCI||Final Year Dissertation|
|Cryptography||Advanced Computer Graphics|
|Software Project||Computer Graphics|
|Numbers||Functions & Limits|
|More Programming (Java)||Computation|
|Sets & Series||Matrices & more Calculus|
Final Year Dissertation: Information Overload on Social Networks
Information Overload can be thought of as the difficulties that individuals face when they are presented with more information than they are able to process. Current trends in internet use indicate that information overload will only become more prevalent on Social Networking Services unless work is done to actively prevent it. In this study we start by discussing information overload and its effects, as well as results from prior research into Social Networks and Online Social Networking Services. We continue by presenting two experiments; one to provide a motivation for information overload on Facebook, and one to further investigate the factors that have identified as helping users cope with information overload. The first experiment we present is an exploratory study into the existence of information overload on Facebook, as well as the factors that allow users to make decisions about which posts they will filter when they use Facebook. The results of this experiment identified the existence of information overload on SNSs and lead us to present two types of attributes that a post can have; quantitative attributes and semantic attributes. After further analysis of these results, the decision was made to perform a more in-depth investigation into these semantic attributes. A second experiment was then designed to test the effects of two of these semantic attributes; the content of the post and identity of its author. From this experiment, we were then able to conclude that two of our semantic attributes directly affected participants' propensity to filter content that they were presented with, and hence should be used in any algorithm designed to automatically filter social content. Future work into this area was also highlighted in the form of a filter implementing these results, as well as further research into the semantic attributes that were presented by this study.