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CMPUT 301: Lecture 15 Task Analysis

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Title: CMPUT 301: Lecture 15 Task Analysis


1
CMPUT 301 Lecture 15Task Analysis
  • Lecturer Martin Jagersand
  • Department of Computing Science
  • University of Alberta
  • Notes based on previous courses by
  • Ken Wong, Eleni Stroulia
  • Zach Dodds, Martin Jagersand

2
Today
  • Some notes on the main course project.
  • Hierarchical task analysis
  • Temporal execution plans
  • Knowledge based analysis

3
Task Analysis
  • Process of analyzing the way people perform their
    jobs
  • the things they do
  • the things they act on
  • the things they need to know
  • Focuses on observable aspects of a task (as
    opposed to internal cognitive states)

4
Goal
  • For Computer Science
  • To understand how people solve tasks
  • To be able to map parts of this work effectively
    into a computer program (which people still
    usually interact with)
  • But nothing new under the sun Consider how early
    capitalist theory (e.g. Adam Smith) and
    industrialists (e.g. Henry Ford) subdivided and
    analyzed factory work to increase economic gain

5
Task Analysis
  • To clean the house
  • get the vacuum cleaner out
  • attach the appropriate tool
  • clean the rooms
  • when the dust bag gets full, replace it
  • put the vacuum cleaner and tools away

6
Task Analysis
  • To vacuum, need to know about
  • vacuum cleaners
  • tool attachments
  • dust bags
  • storage closet
  • rooms to be cleaned
  • etc.

7
Task Analysis
  • Three approaches
  • task decomposition (hierarchical and temporal)
  • look at splitting a task into subtasks and the
    order in which these are performed
  • knowledge-based analysis
  • look at what users need to know about objects and
    actions involved in a task
  • entity-relation-based techniques
  • look at identifying the actors and objects, the
    relationships between them, and the actions
    performed

8
Task Analysis
  • Purpose
  • for new systems, helps in capturing and deriving
    the requirements, prior to design
  • for existing systems, helps in clarifying
    knowledge about the current situation
  • Issues
  • may include non-computer activities
  • focus on observable user behavior

9
Task Decomposition
  • Hierarchical task analysis (HTA)
  • produce a hierarchy of tasks and subtasks
  • produce temporal plans to describe ordering of
    (sub)tasks and conditions under which they occur

10
HTATask Decomposition
  • 0 To clean the house
  • 1 get the vacuum cleaner out
  • 2 attach the appropriate tool
  • 3 clean the rooms
  • 3.1 clean the hall
  • 3.2 clean the living room
  • 3.3 clean the bedrooms
  • 4 empty the dust bag
  • 5 put the vacuum cleaner and tools away

11
HTATask Decomposition
  • Possible temporal plans for tasks and subtasks
  • plan 0
  • do 1, 2, 3, 5 in that order
  • when the dust bag gets full, do 4
  • plan 3
  • do any of the rooms 3.1, 3.2, or 3.3 in any order
    depending on which rooms need cleaning

12
Task Decomposition
  • Temporal refinements
  • plan 3
  • do 3.1 every day
  • do 3.2 once a week
  • do 3.3 when visitors are coming

13
Task Decomposition
  • When to stop decomposing subtasks?
  • Example Computer assisted training system
  • P x C lt threshold
  • P probability of making a mistake
  • C cost of the mistake
  • depends on intended purpose and audience

14
Task Decomposition
  • Other stopping rules
  • When human is too complex to model
  • when the task contains complex motor responses
    (human sensory motor)
  • when the task involves internal decision making
    (human cognitive)
  • Benefit analysis of time, economic return etc.

15
Task DecompositionAdd sequential and temporal
info
16
Task DecompositionRefine and add iteration
  • Note loop!

17
Temporal Task Decomposition
  • Types of plans
  • fixed sequence
  • e.g., make pot
  • optional tasks
  • e.g., empty pot
  • waiting for events
  • e.g., when kettle boils
  • cycles
  • e.g., pour tea
  • time-sharing
  • e.g., boil water and empty pot
  • discretionary
  • combinations

18
Knowledge-Based Analysis
  • Understand the knowledge needed to perform a
    task
  • list all objects and actions involved
  • build taxonomies to structure these
  • use this understanding for training

19
Knowledge-Based Analysis
  • Need to know about car control classification
  • steering ? steering wheel, indicators
  • engine/speed
  • direct ? ignition, accelerator, foot brake
  • gearing ? clutch, gear stick
  • lights
  • external ? headlights, hazard lights
  • internal ? courtesy light
  • parking ? hand brake, door lock
  • etc.

20
Knowledge-Based Analysis
  • Taxonomy
  • different structures might be possible, depending
    on intended purpose and audience
  • e.g.,
  • driving versus repairing by mechanic

21
Knowledge-Based Analysis
  • Task descriptive hierarchy
  • XOR
  • object in only one category
  • AND /
  • object in all categories
  • OR
  • object in at least one category

22
Knowledge-Based Analysis
  • car controls XOR
  • wash/wipe AND
  • function XOR
  • wipe ? front wipers, rear wipers
  • wash ? front washers, rear washers
  • position XOR
  • front ? front wipers, front washers
  • rear ? rear wipers, rear washers

23
Knowledge-Based Analysis
  • kitchen item OR
  • preparation ? mixing bowl, plate, chopping
    board
  • cooking ? frying pan, casserole, saucepan
  • dining ? plate, soup bowl, casserole, glass

24
Knowledge-Based Analysis
  • Uniqueness rule
  • must be able to distinguish any two specific
    objects
  • e.g.,
  • cannot distinguish mixing bowl and chopping board
  • can distinguish mixing bowl and plate

25
Knowledge-Based Analysis
  • kitchen item AND
  • / shape XOR
  • dished ? mixing bowl, casserole, saucepan,
    soup bowl, glass
  • flat ? plate, chopping board, frying pan
  • / function OR

26
Knowledge-Based Analysis
  • kitchen item AND
  • / shape XOR
  • / function OR
  • preparation ? mixing bowl, plate, chopping
    board
  • cooking ? frying pan, casserole, saucepan
  • dining XOR
  • for food ? plate, soup bowl, casserole
  • for drink ? glass

27
Knowledge-Based Analysis
  • Unique path
  • each object can be represented by a knowledge
    representation grammar (KRG) term
  • e.g.,
  • a casserole dish
  • kitchen item/shape(dished)/functioncooking,dinin
    g(for food)/
  • kitchen item whose shape is dished AND its
    function is cooking OR dining for food

28
Knowledge-Based Analysis
  • Taxonomy of actions
  • can also structure actions, based on genericity
    instead of a how to do it decomposition
  • make general statements about tasks

29
Knowledge-Based Analysis
  • kitchen job OR
  • preparation ? beating, mixing, pouring
  • cooking ? frying, boiling, baking
  • dining ? pouring, eating, drinking

30
Knowledge-Based Analysis
  • Taxonomies of objects and actions
  • crosscheck to look for omissions
  • perhaps easier to see what people use than to see
    what they do
  • add taxonomies
  • e.g., classify foods

31
Knowledge-Based Analysis
  • Generic descriptions of simple tasks
  • KRG sentence
  • e.g.,
  • eating a carrot off a plate
  • kitchen job(dining)using a kitchen
    item/shape(flat)/functiondining,preparation/to
    food(root vegetable)

32
Knowledge-Based Analysis
  • Issues
  • generification
  • not bothering with certain low-level distinctions
  • too many different KRG sentences
  • perhaps more generification needed
  • too few different KRG sentences
  • level of abstraction too great

33
End
  • What did I learn today?
  • What questions do I still have?
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