IE_Lecture16-ed

IE_Lecture16-ed - Resp-onse Yes No es it A – Correct...

Info iconThis preview shows pages 1–12. Sign up to view the full content.

View Full Document Right Arrow Icon
Lecture 16 Industrial Ergonomics (ENGR 3460U) Information Theory structor: Dr Ahmad Barari Instructor: Dr. Ahmad Barari Barari- ENGR 3460U 1
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Ch. 7 – Design of Cognitive Work nformation Theory) (Information Theory) it = binary unit = amount of information Bit binary unit amount of information from two choices (e.g. coin toss, hi/lo) H = log n log n = 1.4427 ln n Barari- ENGR 3460U 2 2 2 (n = # equally likely alternatives)
Background image of page 2
formation Theory (con’t) Information Theory (con t) = p g /p (not equally likely) H i log 2 (1/p i ) • Redundancy = reduction of information %R = (1 – H/H max ) x 100 • Bandwidth = channel capacity = maximum amount of information processed Barari- ENGR 3460U 3
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Barari- ENGR 3460U 4
Background image of page 4
Barari- ENGR 3460U 5
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Human Information Processing Model Barari- ENGR 3460U 6
Background image of page 6
Perception and Signal Detection Model xplains: Explains: – Perception of information – When noise present esp Signal • Four conditions: – Hit = ‘yes’ on signal
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Background image of page 8
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Background image of page 10
Background image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Background image of page 12
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Resp-onse Yes No es it A – Correct rejection (CR) = ‘no’ when no signal Yes Hit FA No Miss CR – False alarm (FA) = ‘yes’ when no signal iss = ‘no’ on signal Barari- ENGR 3460U 7 Miss no on signal Signal Detection Model Barari- ENGR 3460U 8 SDT and Inspection • Response criterion = ental standard of mental standard of judgment of signal ove left ↑ hits but also Move left → hits, but also ↑ FA (liberal) – Move right → ↓ FA, but also ↓ hits (conservative) • d’ = separation of signal and noise distributions – increase if possible!! Barari- ENGR 3460U 9 Ex. SDT and weather Fore-ast True Weather cast Rain No rain Rain 15 8 No rain 2 10 Barari- ENGR 3460U 10 Barari- ENGR 3460U 11 Ex. SDT and Weather Fore-ast True Weather cast Rain No rain Rain 9 6 No rain 9 11 Barari- ENGR 3460U 12...
View Full Document

This note was uploaded on 10/18/2010 for the course ENGR 3360 taught by Professor Ahmadbarari during the Fall '10 term at UOIT.

Page1 / 12

IE_Lecture16-ed - Resp-onse Yes No es it A – Correct...

This preview shows document pages 1 - 12. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online