Richard Wood

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Physicality and the “Done to Death” pile

Yesterday marked the first of a series of workshops being run by the team here at HighWire and despite some early morning apprehension and what could generally be aligned to last minute “jitters” the day was a resounding success. From our end at least.Physicality Workshop The aim of the day, which is now much clearer in hindsight, was to explore how academics, students and industrial partners viewed and interacted with their data. In a word, physicality. For this workshop we split the subject into three sections: Data, Transformation and Physicality.

In the context of this workshop, Data is the raw information in the “loop”. It is a name, a bus route or the length your hair has grown since you last had it cut. It can both define and be defined by a physical embodiment. Imagine it in the context of Twitter and Data would be the “Tweet”.

For us, in geek speak, Transformation is the “middleware”. It’s the bit in between Physicality and Data that enables interaction between the two. It is the Arduino’s, the API’s, the PHP script and the “Code Monkey” bashing feverishly away at the keyboard to make it all work. Take Twitter again and the Transformation would be Twitter itself. For us, Physicality is about Data being physically represented in a sometimes playful and emotive manner. There are many great example of physical objects being controlled, adjusted or made interactive by using them in conjunction with data. A notable couple would be Tinker’s “Rewind” project and Mathieu Lehanneur’s “Therapeutic Objects”. Once again using the example of Twitter, Physicality could be a man, woman, or even a machine (I often have a tendency to default to technology), physically writing out each Tweet.

In each of these areas we then asked the participants to identify things that they were either doing, wanted to do or perhaps thought were impossible. This was done with trusted Post-It notes and appropriately titled boards.HighWire Workshop - Post-It NotesNext we asked the participants, over lunch (we’ve learnt that it is treacherous ground to ask academics anything on empty stomachs), to identify ideas posted on the boards that they felt particularly fell into one of five key areas. Those areas were: “Count Me In” – enabling us to identify potential points of collaboration and/or expertise. “Impossible” – looking for inspiration, we wanted to find the areas that the participants believed were impossible. After all, we do like a challenge. “Done to Death” – Where did the participants believe their was a sense of “overkill”, that the technology or society had moved on or that there were simply more exciting things to be doing. “Reference” – Where participants had prior knowledge of idea and thoughts we wanted them to share references that we could then follow up and Finally we wanted the participants to annotate anything that they believed was “Bright and Exciting”, that one is fairly self explanatory really. After lunch a series of activities designed to entice creativity and divergent, “unstagnated” thinking aimed to build on the playfulness of the day and potentially inspire us with a project direction we had not thought of. But that is another blog post all together.

So that brings me full circle, back to the title of this post – Physicality and the “Done to Death” Pile. At the end of the workshop we began to muse over what we had discussed, discovered and played with during the day. The “Done to Death”’s, a “pile” we had used during the workshop to help us remove the mundane, overused buzzwords from the list of potential key areas. One in which we had payed little attention or interest to, it was highlighted as an unexpected area of interest. So, here they are, listed below:

NB: It is important to note that the following list is subjective and only really based on interest levels

Data

  • Search
  • Social Networks
  • Heart Beat

Transformation

  • Google
  • Walls for Graffiti

Physicality

  • RFID
  • GPS Tracking
  • Wearable Sensors
  • Sensor Tech
  • Fridge that shouts at you
  • Computer Vision
  • Robots

Although, granted, each of the above points have interesting aspects or offshoots well worth exploring, the collective consensus of the workshop group, ruled them out. For me, this highlights the difference between academia and the commercial world and perhaps where they fail to communicate sufficiently. What commercial enterprises find interesting or perhaps a solution to a problem, may already be “old hat” in academic institutes. This is precisely where HighWire is supposed to fit in. Breaking down the ivory towers of academia and dispersing what we learn into industry and doing it quickly. To quote one academic at the workshop, “just get something out there”.

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