Linguistic Notations - Human Resource - Lecture Slides, Slides of Human Resource Management

Human Resource is an integral part of Management Science. In these Lecture Slides of HRM, following key concepts are discussed : Linguistic Notations, Understanding, Behaviour, Analysis, User, Emphasis, Dialogue Models, Backus, Action Grammar, Terminals

Typology: Slides

2012/2013

Uploaded on 07/26/2013

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Linguistic notations
Understanding the user's behaviour and
cognitive difficulty based on analysis of
language between user and system.
Similar in emphasis to dialogue models
BackusNaur Form (BNF)
TaskAction Grammar (TAG)
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Linguistic notations

  • Understanding the user's behaviour and cognitive difficulty based on analysis of language between user and system.
  • Similar in emphasis to dialogue models
  • Backus–Naur Form (BNF)
  • Task–Action Grammar (TAG)

Backus-Naur Form (BNF)

  • Very common notation from computer science
  • A purely syntactic view of the dialogue
  • Terminals
    • lowest level of user behaviour
    • e.g. CLICK-MOUSE, MOVE-MOUSE
  • Nonterminals
    • ordering of terminals
    • higher level of abstraction
    • e.g. select-menu, position-mouse

Measurements with BNF

  • Number of rules (not so good)
  • Number of + and | operators
  • Complications
    • same syntax for different semantics
    • no reflection of user's perception
    • minimal consistency checking

Task Action Grammar (TAG)

  • Making consistency more explicit
  • Encoding user's world knowledge
  • Parameterised grammar rules
  • Nonterminals are modified to include additional semantic features

Consistency in TAG (cont'd)

  • consistency of argument order made explicit using a parameter, or semantic feature for file operations
  • Feature Possible values Op = copy; move; link
  • Rules file-op[Op] ::= command[Op] + filename + filename | command[Op] + filenames + directory command[Op = copy] ::= cp command[Op = move] ::= mv command[Op = link] ::= ln

Other uses of TAG

  • User’s existing knowledge
  • Congruence between features and commands
  • These are modelled as derived rules

Keystroke Level Model (KLM)

  • lowest level of (original) GOMS
  • six execution phase operators
    • Physical motor: K - keystroking P - pointing H - homing D - drawing
    • Mental M - mental preparation
    • System R - response
  • times are empirically determined. Texecute = TK + TP + TH + TD + TM + TR

KLM example

GOAL: ICONISE-WINDOW [select GOAL: USE-CLOSE-METHOD

. MOVE-MOUSE-TO- FILE-MENU . PULL-DOWN-FILE-MENU . CLICK-OVER-CLOSE-OPTION GOAL: USE-CTRL-W-METHOD PRESS-CONTROL-W-KEY]

  • compare alternatives:
  • USE-CTRL-W-METHOD vs.
  • USE-CLOSE-METHOD
  • assume hand starts on mouse

USE-CLOSE-METHOD P[to menu] 1. B[LEFT down] 0. M 1. P[to option] 1. B[LEFT up] 0. Total 3.75 s

USE-CTRL-W-METHOD H[to kbd] 0. M 1. K[ctrlW key] 0.

Total 2.03 s

Display-based interaction

  • Most cognitive models do not deal with user observation and perception
  • Some techniques have been extended to handle system output (e.g., BNF with sensing terminals, Display-TAG) but problems persist
  • Exploratory interaction versus planning