ADVANCED AAI-THEORY – V2. A Philosophy Based Approach

eJournal: uffmm.org,
ISSN 2567-6458, 23.Januar 2019
Email: info@uffmm.org
Author: Gerd Doeben-Henisch
Email: gerd@doeben-henisch.de

Change: 6.February 2019 (Reformulating the ‘CONTEXT’ paragraph)

Change: 27.February 2019 (changing the order of the table of contents)

Change: 20.April 2019 (New section ‘The Big Picture…’)

 

CONTEXT

In a previous post I started the re-formulation of the general framework of  the AAI theory.  I decided to organize the text now in a more flexible way: One main post for the overview of all topics and then for every topic an individual post with possibly more detailed extensions. This will generate a tree-like structure with the root-post at level 0 and from this following the links you will reach the posts of level 1, then level 2 and so forth. The posts from level 0 and level 1 will be highly informal; the posts from level 2 and higher will increasingly become more specialized and associated with references to scientific literature. This block is inspired by many hundreds of scientific papers and books.

THE NEW AAI FRAMEWORK IN A NUTSHELL

  1. THE BIG PICTURE: HCI – HMI – AAI in History – Engineering – Society – Philosophy
  2. A Philosophical Framework
  3. TOP-DOWN OR BOTTOM-UP?
  4. ACTOR-ACTOR INTERACTION ANALYSIS – BLUEPRINT: Top-Down
  5. ACTOR-ACTOR INTERACTION ANALYSIS – BLUEPRINT: Bottom-up
  6. USABILITY AND USEFULNESS
  7. TASK INDUCED ACTOR REQUIREMENTS (TAR)
  8. ACTOR INDUCED ACTOR REQUIREMENTS (AAR)
  9. ASSISTING ACTOR MOCKUPS
  10. MEASURING USABILITY
  11. SIMULATION AND GAMING
  12. ACTOR MODELS (AMs)
    1. MODELS USING  Machine Learning (ML)
    2. MODELS USING  Cognitive Modeling (CM)
    3. MODELS as System Tutors (ST)
    4. MODELS as Purely Personal Assistant (PPA)
  13. SIMULATION BASED  MEASURING
    1. AUTOMATIC VERIFICATION
    2. MEASURING USEFULNESS
    3. MEASURING SUSTAINABILITY (RESILIENCE)
  14. CASE STUDIES
  15. REFERENCES