Monday, 19 December 2011

WEEK 11 LOG

Following a tutorial last week, four main areas of interest have been identified that need to be narrowed down;

TYPE 1: Memories stored in objects -> Intentional/Non-Intentional, Digital/Non-Digital
TYPE 2: Memories created by objects -> how humans and other objects interact and create memory
TYPE 3: Objects subverting memories -> Physical form & Informational
TYPE 4: Objects reinterpreting memories -> Purpose?? Methods?? Subject Matter??

Related designs and the importance of Memory within the development on design will be investigates and communities will eventually be identified. Mock-ups need to be created as part of the design process and continued investigation into technology is vital i.e. Pachube and Arduino (Pachuino). It was deemed beneficial for a Supervisor to be attained for assistance on the technical side of things although it is not necessary.

Achievements this week: Investigation into current works & research.

Goals for next week: Working mock-ups using Pachuino, Testing Wrangler, Models of concepts and ideas.

Goals for January; Narrow area of focus; define project proposal.

Data Manipulation Tools: Wrangler

As i will be probably collecting large amounts of data for my memory dissertation project, i will need tools to manipulate this data.

Wrangler is a tool which allows greater flexibility than Excel. Data can be imported, manipulated, than exported. This would come in very handy, and i will try it out.

http://vis.stanford.edu/wrangler/

Wrangler Demo Video from Stanford Visualization Group on Vimeo.

The Big Dripper: Arduino Project

http://vimeo.com/20636301



source code https://github.com/vishnubob/bigdripper/tree/master/bigdripper

'Big Dripper is a robotic sculpture created by Giles Hall in 2011. It is a concept based on Harold Edgerton's Piddler. Edgerton's Piddler, also known as a "Time Fountain", uses a stroboscopic light source to highlight individual drops of water in a constant stream of liquid. With the strobe off, the stream looks like a solid cylinder of falling water. With the strobe on, and correctly synchronized with the actuation of the pump, the individual drips of water that compose the stream are exposed. The drips appear to hang in space as if frozen in time. By modulating the phase relationship between the frequency of the pump and the frequency of the strobe, the device can generate optical illusions of motion. For example, the individual drops can appear to fall slowly, or even crawl upwards.

Big Dripper expands on this idea by adding eight individually controllable pumps. By adjusting the phase relationships between the pumps and LEDs, a variety of visual effects can be achieved. '

Technology used:

Arduino; Lighting 

Memory theory:

Gives the effect of being able to isolate specific droplets of water and change their motion. Makes it look like time is being slowed, reversed and stopped. 


It is a different way of intepreting memory. Memory is not stored, but a concept is drawn attention to. Perhaps an object can represent the concept rather than being an example of it.

Credit: 
Big Dripper from Giles Hall on Vimeo.

Be your own souvenir; Rep Rap & Predicting the future

http://blog.reprap.org/2011/04/be-your-own-souvenir.html


Be Your Own Souvenir! from blablabLAB on Vimeo.


A 'snapshot' memory of your physical state at a specific point in time. 3D scanning equipment connected to a 3D printer prints out a tiny model of a person which can then be taken home! It's an incredible idea, and shows how technology can be used to create and subvert memory or interpret it in different ways. The creation of a mini sculpture as a fast service is only really possible using technology. This physical 'memory' is different to how humans would perceive it. We could even create a multi-layered memory where the printers are continuously receiving input and that the individual is moving around.

Technology used: It is a hack; no purpose built technology is used.

  • Three 'Kinects'
  • RepRap (a plastic printer). 

http://reprap.org/wiki/RepRap
RepRap is an open source plastic printer, and because many parts are plastic it can actually self-replicate.



File:Shoe-closed.jpg

Memory theory:

This is the use of human physical form as a vessel for memory; and transferring it into an object. The model is an encapsulation of various memories; your pose, your clothing, the object you're holding. What if more memories were stored like this, creating a mini world version of the world, and printing updates to the world to replicate real world events. If this much data could be collected, some people say you could predict the future.

Is predicting the future anything more than establishing patterns? For example using the theories of the quantified self i could analyse my habits i.e. web usage and from that predict what i was going to do tomorrow. Various factors affect my web usage i.e. which course i'm revising for, and therefore i might search for different things. Memory is a large part of this; memory being nothing but data interpreted in various ways.

An interesting video: Fate vs. Free Will. The beginning of the video is most interesting to me.

Tutorial/Presentation

I met with Kate Devlin and Edd Bagenal last week to discuss my progress and research.

Feedback: Areas of interest currently in a number of different areas, narrow these down. Start making things and investigating relevant work.

Plans


Narrow down my area of interest, and start developing more specific concepts.
Look at existing relevant work, analyse and change it
Start making mockups-Kate Devlin stresses the importance of prototyping in her lectures; even making things that dont really work and videoing them.
More tactile research-video, meeting people etc

Current Action

I have contacted my Physical Computing lecturer Brock Craft and requested his supervision on my project as i am interested in the physical world and ways that memories can be reinterpreted/subverted. Arduino is a pwerful tool.

Overview of my current work and future plans


2011-2012 Dissertation project Siobhan McKenzie

My current brief: ‘Memory; Hiding in plain sight’
What it’s all about:
Investigating unnoticed memories, and looking at ways that these can be noticed. Finding novel ways to reinterpret this information and draw attention to it. My personal manifesto stated that design must have a use, so what I design must always be beneficial in some way. My focus is objects and form; so I am investigating the ways that physical objects can store memories that aren’t noticed and what these memories are. Both interactive and non-interactive objects have been investigated.

My process:



My Plan for developing a complete proposal by January
1.      Examine ways that objects are currently collecting memories
2.      Examine the various ways that memories are processed, stored, reproduced/presented and shared
3.      Continue looking at ways that memories are lost and what these memories are-try  to profile the individuals to help categorise them
4.      Look at new ways to represent these: we have five senses so five different ways to receive stimulus
Methodology
Main note: Separate ‘objects’ into digital and non-digital
1.      Observation: Participant and non-participant. Observing people and understanding their habits; what they notice or don’t notice
2.      Trial current data collection software/hardware on test subjects to see how they work and how data is currently interpreted
3.      Build my own software/hardware and test them on users
a.      Use arduino
b.      Use Pachube to tap into current data streams, subvert them. See what data is currently being collected and why.
c.       ideas can be trialled or simulated in real like and scenarios created
d.      scenarios and trials on non working prototypes can be really useful-used this methodology in Kate Devlin’s UID lectures and they are successful in identifying problems before a real prototype is build. Test usability of any products I design
4.      Look at the ways that non digital artefacts could be ‘enriched’ i.e. the camera oyster card
5.      Investigate object personification and the creation of smarter objects: objects that can create their own memories via interaction with other objects/the world that are separate from users
a.      Objects having an agenda
b.      Objects being able to help by contacting other users

6.      Investigate form further
a.      Objects storing memory in their physical form
                                                              i.      Ageing
                                                            ii.      Scarring
                                                          iii.      Healing
b.      Archaeology
c.       Healing/Growth
d.      Cold reading
e.      Perception
Technologies that I am going to use
1.      Arduino; smart objects
2.      Smartphones
3.      Social network API
Theory:
1.      The quantified self - theory
2.      Internet of things; pachube

Friday, 9 December 2011

Music visualisation techniques

Continuing on with my research into ways to reinterpret memory data, visualisation is an option.

Below is a link to a general description of the steps it takes to visualise music. A possibility is using a data stream to create a 'visualisation' of some-ones memories. These could be broadcast and combined with other peoples. Algorithms could interact with eachother to provide an approximation of the music.

http://knol.google.com/k/music-visualization-techniques#

The ability of objects to interpret unusual data: AUDIOVISUAL INTERPRETATION

There is a huge range of information that could be collected from normal human interaction that isn't easily formatted by computers i.e. movement, speech. 

HCI has taken some massive steps forward, with the incorporation of new ways on communication i.e. movement and 3D scanning and projection. This data could be collected and interpreted.


Gesture recognition: how it works.

a gesture recognition system can be made of different components

•  Gesture Modeling
•  Gesture Analysis 
•  Gesture Recognition
•  Gesture-Based Systems and Applications 

These can be modelled in 3D space, and reinterpreted.

Speech is also something that computers have been used to analyse. Audio recorders and interpreters were utilised in the following study to detect how many words men and woman said respectively on average per day.


Women are generally assumed to be more talkative than men. Data were analyzed from 396 participants who wore a voice recorder that sampled ambient sounds for several days. Participants' daily word use was extrapolated from the number of recorded words. Women and men both spoke about 16,000 words per day.

Findings
Sex differences in conversational behavior have long been a topic of public and scientific interest (1, 2). The stereotype of female talkativeness is deeply engrained in Western folklore and often considered a scientific fact. In the first printing of her book, neuropsychiatrist Brizendine reported, “A woman uses about 20,000 words per day while a man uses about 7,000” (3). These numbers have since circulated throughout television, radio, and print media (e.g., CBS, CNN, National Public Radio, Newsweek, the New York Times, and the Washington Post). Indeed, the 20,000-versus-7000 word estimates appear to have achieved the status of a cultural myth in that comparable differences have been cited in the media for the past 15 years (4).

AUDIOVISUAL INTERPRETATION

Sound and visuals can be generated from  data using various algorithms. What has not been done yet is having different objects respond to eachother and change the data interpretations.


Aborigines interpret the information about their environment and share this information through song: how can the collection of data be transferred into sound and shared? 

What data would be used? How would it be interpreted? A new way of making music. Can it be made into visual data?