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10 August 2017
The way we think we think thoughts on representation and meaning, and some implications for designing systems for human use
Andrew Gibson :: Research Fellow - Reflective Writing Analytics, UTS
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What we make… … and how we think
✤ Society influences how we think our brains (George Zarkadakis)
✤ The hydraulic brain (300BC)
✤ The mechanical brain (1500)
✤ The electronic brain (1700)
✤ The computer brain (1940)
✤ The information brain (1950)https://www.flickr.com/photos/cblue98/
“But here is what we are not born with: information, data, rules, software, knowledge, lexicons, representations, algorithms, programs, models, memories, images, processors,
subroutines, encoders, decoders, symbols, or buffers – design elements that allow digital computers to behave somewhat intelligently. Not only are we not born with
such things, we also don’t develop them – ever.”
– Robert Epstein (aeon.co)
A familiar UX
✤ What does this represent?
✤ What does it mean?
✤ Does the representation result in the meaning?
✤ What does it mean when the speedo shows 120 km/hr?
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What is the UX for the driver?
✤ Consider a UX where the meaning is centred on safety rather than speed
✤ What would this look like?
✤ What the implications of this change for UX design?
✤ What would need to change in the system to facilitate this UX?
From representation, to meaning
✤ In present cars, where is the path from representation (speedo) to meaning (safety)?
✤ In the future scenario, where is the path to meaning?
If we think…
✤ meaning is not “computed” or “accessed”, but constructed - then everyone could construct different meaning. How do we ensure common meaning?
✤ meaning construction takes time - then we may not understand fast enough. How do we ensure meaning in time?
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Implications
✤ Sharing meaning-making between technology and human
✤ Replacing slow human processes with fast computational processes
✤ What would these approaches mean for UX design?
✤ What if we get it wrong in this space?
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A real life example
✤ Learning Analytics - specifically Reflective Writing Analytics
✤ Feedback to students requires a shared meaning-making
✤ It needs to be easy for students to arrive at the desired meaning.
✤ Meaning evolution, rather than meaning finding, or even meaning wishfulness!!
✤ The need for system architecture design to enable a suitable UX
✤ Also, social infrastructure - meaning construction within a social environment
Takeaways
✤ Knowledge representation is NOT directly linked to Meaning construction
✤ Manipulation of representation has limited influence on meaning
✤ Meaning can be negotiated socio-technically