Survey Conducted on the Cross Site Image Tagging

Survey Conducted on the Cross Site Image Tagging

Introduction

We have conducted a survey on cross site photo tagging concept. This was one of the approaches taken by us to see the interests that the users will have in our idea and also it would suggest us whether this notion of thought that we have, will be beneficial in the long run from the social networking aspects.

The survey gave a brief introduction about the work that we intend to do and what are the outcomes that can be expected out of it. The proposal said that it includes a system which would allow tagging photos from any website which are then grouped together and can be traversed and modified in a similar way to the currently existing tagging systems.

The questions that we designed sequentially, were supposed to filter out potential users of social web sites and then to get an idea of whether those users take interest in sharing photographs on the blogs. It was also equally necessary for us to know that the users were familiar with the concept of tagging as it would aid us identify those group of users who are probably the ones to give us theĀ  correct feedback that we are looking at. It would then be worth asking from those people about the uniqueness of this idea and also the popularity that it will have. The result that we got from the surveys was quite promising and it actually motivated us to move ahead with further developments.

Analysing the results

We will also try to analyse some of the results that we have received from the surveys.

Fig 1.1

Fig 1.1 shows that almost 93.2% of the users except those who use the social networking sites regularly are the potential users.

Fig 1.2

Fig 1.2 shows that 77.9% of the people are those people who have the tendency of sharing photos on the sites or blogs quite often. We have taken into account the people that have voted for ā€œVery Oftenā€ and ā€œSometimesā€.

Fig 1.3

Fig 1.3 shows that 61% of the users are keener to use photo tagging. So we are targeting these individuals who can be the potential users for our system.

Fig 1.4

Fig 1.4 shows that above 81% of the people are using more than one social networking site and the idea of cross site photo tagging will benefit them as they donā€™t have to upload the photos at every site that they have access. They can just tag the images from one of the SNS to get the other SNS to view their data. It would be really a nice experience for these people to discover the new feature that we are offering.

Fig 1.5

Fig 1.5 shows the data that has proved to be motivating as it clearly says that more than 83% of the people say that they really find this idea really unique and addictive. This conforms to the fact that the idea that we proposed is something that is new and is not existent in the current social networking sites and which will definitely interest the other users who access SNS very often.

Fig 1.6

Fig 1.6 shows that more than 85% of the people have shown some interest in using the application that we have developed. Out of which 50% of the people are those people who are possibly going to use this application. The sceptical behaviour of these people is quite justified as they are not sure about the user friendliness of our application. These people will definitely get more confidence when they will see the ease of use, of this application.

Fig 1.7

Fig 1.7 shows that 42.4% of the people are keen to suggest their friends to use this application, which means that almost 50% of the people will be spreading our ideas to the other group of people, so the chances of getting it popular will be very much possible looking at the statistics that we have.

Conclusion

After conducting the survey we were content with the results that we received. It was encouraging as it confirmed that the idea that we are having is new and is definitely going to draw attention of the users who regularly use the social networking sites for tagging photos. This can be seen as the future of the photo tagging in the social networking sites across the web.

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