Tuesday 31 October 2017

How do we begin thinking about creating interactive technology? What is PACT analysis?

PACT ANALYSIS

PACT: (P)eople conducting (A)ctivities in a (C)ontext using (T)echnology.


  • (P)eople differ from one another along different dimensions:

Physical differences
  •   Different abilities in the five senses
  •   Differing motor control abilities
  •   Different body shapes, sizes and colors.

Psychological differences
  1.   Different cognitive biases:
  2.   Spatial / temporal awareness
  3.   Cultural differences
  4.   Language differences

 

  Cognitive differences:
  •   What people expect system to do next: mental model

Usage differences
  • Differing experience levels: novices use the mouse; pros use keyboard shortcuts
  • Discretionary users: use the technology only if really necessary.
  • (A)ctivities have a purpose, and a number of features:

Temporal aspects:

  1. How regular or infrequent is the activity undertaken?
  2. Usage history: smooth, or peaks and troughs?
  3. Continuous vs. interrupted: how to find your place again?
  4. Response time

Cooperation:

  1. Can be done by one or more people? (Coordination/cooperation)


Complexity

  • Well-defined or vague? Sequential or exploratory design needed?

Safety

  • Safety-critical? Lots of feedback, explicit timing, etc.
  • How are mistakes, errors and omissions handled?


Nature of The content:

  • Data requirements:
  • Large/small? Steamy (video,speech)? Chunky (icons/text)?
  • How to display data? Text? 2D visual? 3D visual? Motion? Sound?

  • (C)ontexts

Three kinds of (C)ontexts

Physical environment

  •   Where is the technology? Indoors/outside? Noise levels?
  •   Crowded (private)? Internet access: slow in the country, fast in the city.

Social context

  •   How many users? Distribution of expertise?
  •   Sound output: not in an open-plan office, but OK in a cubicle.

Organizational context

  •   Changes in technology impact the structure of companies,
  •   cultures, law, nations, social institutions, etc.
  •   One technology may create jobs in company X,
  •   but destroy jobs in company Y.

  • What makes up a (T)echnology?
Input
  •   What kind of data is coming in? How much, how often?
  •   Input devices appropriate to the data.
  •   Exploitation of input devices to broaden information conduits
  •   (eg. a moving videocamera can pick up depth information)

Output
  •   Streamy (video,speech) vs. chunky (icons/text) output data
  •   Chunky data has persistence (does not need to be remembered)
  •   Streamy data is more engaging (attracts users) 

Communication
  •   What other technologies and people should it communicate with?
  •   How? How often? How much bandwidth?

Content (internals)
  •   What data is contained within? What data is shared?
  •   How many software components, how are they connected?
  •   What algorithms are employed?
  •   How visible is the data/algorithms to the user? Should it be?






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