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Communication Theory and Semiotics

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Title: Communication Theory and Semiotics


1
Communication Theory and Semiotics
  • Graphics 1

2
Introduction
  • information theory - Shannon and Weaver
  • application to visual communication process
    theory
  • noise redundancy, entropy
  • limitations of process theory
  • conclusion - process theory and semiotics .

3
Warren Weaver
  • American scientist and mathematician
  • director of the Division of Natural Sciences at
    the Rockefeller Foundation, 1932 - 1955
  • influential in the application of science
    genetics, agriculture, medicine and molecular
    engineering and many other fields
  • early work on machine translation and mass
    communication - tower block analogy
  • co-author with Shannon of The Mathematical Theory
    of Communication, published 1949 .

4
Claude Elwood Shannon
  • American mathematician and electronics engineer
  • 1937, aged 21, his Masters thesis established
    mathematical basis of digital circuit design and
    hence the modern computer
  • had varied interests
  • created a mechanical mouse that could learn a
    maze
  • invented a motorised pogo stick
  • beat blackjack and roulette at casinos using game
    theory and computation
  • applied his theories to the stock market and was
    very successful! .

5
Shannon and Weaver, 1949
  • during WW2 Shannon joined Bell Telephone Labs
  • worked on fire-control systems (anti-missile
    targeting) and cryptography
  • met and worked with many great scientists
  • people involved with earliest satellites, signal
    theory, first digital computers, the inventors of
    the transistor
  • became friends with Alan Turin, discussed
    cryptography with him
  • treated the problems he encountered as the need
    to distinguish signal from noise
  • by considering the role of data in contrast to
    signal processing he founded the field of
    information theory
  • hence laid the foundations of all modern
    communication .

6
Shannon and Weaver, 1949
  • The Mathematical Theory of Communication
  • based largely on the work Shannon had published
    previously
  • Weaver added a philosophical context to the work,
    showing its wider applications, and used his
    influence to popularise it
  • theory focuses on the best way for the sender to
    encode information before sending it
  • realised that all communication, including human
    language, could be measured in the form of a rate
    of bits per second
  • and that all channels of communication had
    their own maximum capacity, also measured in bits
    per second
  • considered the role of noise in disrupting
    integrity of information
  • limited channel capacity and noise lead to
    uncertainty
  • developed the concept of information entropy
    as a measure of uncertainty in a message .

7
Shannon and Weaver, 1949
Hazard warning Corrosive materials
Mandatory Wear protective clothing
Prohibited Do not touch
  • what limits the capacity of the channel?
  • where might noise be introduced between sender
    and receiver?

8
process theory
  • Shannon and Weavers contribution has been
    applied to many areas
  • communications systems
  • computer science
  • linguistics
  • cognitive science
  • sociology
  • media studies
  • critical theory
  • marketing and advertising
  • if graphic design is concerned with effective
    visual communication then information theory may
    help us analyse and discuss our work process
    theory

9
(No Transcript)
10
process theory
  • all communication can be considered as a process
    in which message follows path from sender to
    receiver

source
transmitter
receiver
destination
noise
client
designer
medium
audience
noise
11
communication problem levels
  • Shannon and Weaver discuss three levels of
    communication problem technical, semantic,
    effectiveness
  • technical level
  • how accurately can we communicate the message?
  • which system to use to encode the message?
  • can the receiver use that system?
  • semantic level
  • which language to use?
  • how accurately does our language convey the
    meaning we intend?
  • how much can be lost whilst still preserving the
    meaning?
  • effectiveness level
  • does the message have the effect we want to
    achieve?
  • what can we do if it doesnt? .

12
communication problem levels - graphics
  • addressing the technical level
  • scope which information, how much, and its
    extent
  • medium eg newspaper adverts, direct mail, tv and
    radio
  • demographics, identifying the audience, cultural
    norms
  • addressing the effectiveness level
  • often considered as an ongoing aspect of the
    technical level
  • previous lessons learned
  • demographic information
  • market research, focus groups
  • relationship between technical level and
    effectiveness level can be described as
    feedback
  • specification adjusted and fed back to designer
  • Shannon and Weaver did not include this in their
    original work

13
communication problem levels - graphics
client
designer
medium
audience
company charity government organisation agency
media producer design studio individual
print broadcast delivered signage
customer traveller / visitor
noise
14
noise redundancy and entropy
  • noise - anything added between sender and
    receiver
  • obvious source of noise is reproduction eg
    newspaper print technical
  • noise at effectiveness level comes from things
    like audience distractions, product placement,
    dimensions of signage, etc
  • redundancy - repeating all or part of the message
  • newspaper headlines contain little redundancy
    Child Killer Held
  • redundancy can clarify the message providing
    pictogram and text
  • entropy - measure of uncertainty contained in
    message
  • an ambiguous message has a high entropy
  • noise dilutes a message and hence increases
    entropy
  • a long message does not necessarily contain a
    lot of information
  • redundancy makes the message longer, but usually
    reduces ambiguity, so can reduce entropy .

15
the semantic level
  • Shannon and Weavers model was based in
    mathematics and communication engineering
  • grounded in a field where the semantic level is
    largely predetermined
  • choice of language depends on application, eg a
    human language, an electronics communication
    protocol
  • accuracy of language informs choice - you
    wouldnt chose a human language for a
    fire-control system or vice versa!
  • robustness of the language (and hence how much
    information can be lost without losing the
    message) are engineering constraints
  • so the process model tends to treat the message
    as something to be encoded, transmitted and
    received
  • does not have much to say about the message
    itself

16
limitations of process models
  • models like Shannon and Weavers treat
    communication as a linear process
  • a message needs to be passed from A to B
  • encode the message in a suitable format
  • anticipate problems such as noise and
    compatibility
  • build in robustness with redundancy
  • analyse the result with measures such as entropy
  • as a result the meaning of the message is
    determined before it leaves the sender
  • process models consider minimum and maximum
    factors required to maintain integrity of the
    meaning such as
  • the minimum redundancy required
  • the maximum information that can be carried by a
    channel
  • etc .

17
process theory and semiotic theory
  • as weve seen, semiotics considers the role of
    the reader when interpreting the text, eg
  • red can be associated with evil or with good luck
    depending on culture
  • red can mean danger and stop, or can mean romance
    and passion depending on context, within the same
    culture
  • in semiotic approaches, the meaning of the
    message is fixed by the receiver, not by the
    sender!
  • this takes into account noise introduced between
    sender and receiver
  • also takes into account differences in culture
  • also takes into account different associations in
    the same culture
  • when combined, process theory and semiotics
    provide a complete framework for analysing
    effective visual communication

18
Sources
  • Noble, I. Bestley, R., 2007. Visual Research
    An Introduction to Research Methodologies in
    Graphic Design, AVA Publishing.  
  • Crow, D., 2003. Visible Signs An Introduction to
    Semiotics, AVA Publishing.
  • Baldwin, J. Roberts, L., 2006. Visual
    Communication From Theory to Practice, AVA
    Publishing.
  • Chandler, D., Semiotics for Beginners,
    http//www.aber.ac.uk/media/Documents/S4B/semiotic
    .html
  • http//www2.research.att.com/njas/doc/shannonbio.
    html - biography of Shannon with links to his
    papers
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