QBee – a speculative social media platform

QBee – a speculative social media platform

On her website, Clodagh O’Mahony describes herself as a “multi-disciplinary designer with experience in product, graphic, and UX/UI design, as well as illustration and media production.” Having completed her BSc in Product Design and Technology at the University of Limerick, Clodagh went on to study for her master’s degree at the same establishment, this time in Interactive Media. This is where the Raspberry Pi comes in. QBee is one of the entries in our Top 75 Projects community vote! For her thesis project, Clodagh created a dress and an accompanying website to comment on the progression of social media interaction – the idea that it’s getting harder and harder to ‘hide’ on platforms such as Facebook and Twitter due to the sheer amount of personal information we pump into our timelines. Whereas a person could once create an entirely new persona through the predominantly text-based interaction of blogs and chat rooms, we now live a more visual existence online. Photo, video, and emojis have replaced textual communication, adding more ‘face’ to the name, and inevitably adding more reality. With this in mind, Clodagh set out to design “a wearable connected platform that introduces what is sold as a ‘purer’ form of social media. The quantitative data means users would have to go to extraordinary lengths to misrepresent their lives, thereby making its information more reliable than that of its competitors.” The honeycomb shape matches the QBee branding Clodagh created a corporation named ‘QBee’, an abbreviation of Queen Bee, with the associated honeycomb theme playing a significant part in the look of both the dress and website. This corporation, if given true life, would provide a range of wearable tech – similar to her dress – that would allow for the recording of social interaction data, updating it to the wearer’s online QBee account. The aim of the build is to record physical interactions between the wearer and the people with whom they come into contact in the real world. A touch to the waist, for example, would be recorded with a certain set of points, whereas a touch to the back would record another. Alongside this physical interaction data, a microphone is used to listen out for any of a series of keywords that are listed as either positive or negative, whereupon the relevant point data can be recorded. The build incorporates an Adafruit 12-key capacitive touch sensor breakout board, Pimoroni…
Source: QBee – a speculative social media platform

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