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chapter 3 - HCI
evaluation techniques




                        shafyHCI/sem5_KSS
Evaluation Techniques
   Evaluation
    ◦ tests usability and functionality of system
    ◦ occurs in laboratory, field and/or in collaboration with users
    ◦ evaluates both design and implementation
    ◦ should be considered at all stages in the design life cycle




                                                       shafyHCI/sem5_KSS
Goals of Evaluation
   assess extent of system functionality

   assess effect of interface on user

   identify specific problems




                                   shafyHCI/sem5_KSS
Evaluating Designs
Cognitive Walkthrough
Heuristic Evaluation
Review-based evaluation




                          shafyHCI/sem5_KSS
Cognitive Walkthrough
Proposed by Polson et al.
 ◦ evaluates design on how well it supports
   user in learning task
 ◦ usually performed by expert in cognitive
   psychology
 ◦ expert „walks though‟ design to identify
   potential problems using psychological
   principles
 ◦ forms used to guide analysis


                                    shafyHCI/sem5_KSS
Cognitive Walkthrough (ctd)

   For each task walkthrough considers
    ◦ what impact will interaction have on user?
    ◦ what cognitive processes are required?
    ◦ what learning problems may occur?


   Analysis focuses on goals and
    knowledge: does the design lead the
    user to generate the correct goals?


                                      shafyHCI/sem5_KSS
Heuristic Evaluation
   Proposed by Nielsen and Molich.

   usability criteria (heuristics) are identified
   design examined by experts to see if these are
    violated

   Example heuristics
    ◦ system behaviour is predictable
    ◦ system behaviour is consistent
    ◦ feedback is provided

   Heuristic evaluation `debugs' design.


                                            shafyHCI/sem5_KSS
Review-based evaluation
   Results from the literature used to support or refute
    parts of design.

   Care needed to ensure results are transferable to
    new design.

   Model-based evaluation

   Cognitive models used to filter design options
    e.g. GOMS prediction of user performance.

   Design rationale can also provide useful evaluation
    information


                                                shafyHCI/sem5_KSS
Evaluating through user
     Participation




                          shafyHCI/sem5_KSS
Laboratory studies
   Advantages:
    ◦ specialist equipment available
    ◦ uninterrupted environment

   Disadvantages:
    ◦ lack of context
    ◦ difficult to observe several users cooperating

   Appropriate
    ◦ if system location is dangerous or impractical for
      constrained single user systems to allow controlled
      manipulation of use




                                                       shafyHCI/sem5_KSS
Field Studies
   Advantages:
    ◦ natural environment
    ◦ context retained (though observation may alter it)
    ◦ longitudinal studies possible

   Disadvantages:
    ◦ distractions
    ◦ noise

   Appropriate
    ◦ where context is crucial for longitudinal studies




                                                      shafyHCI/sem5_KSS
Evaluating Implementations
Requires an artefact:
     simulation, prototype,
     full implementation




                              shafyHCI/sem5_KSS
Experimental evaluation
   controlled evaluation of specific aspects of
    interactive behaviour
   evaluator chooses hypothesis to be tested
   a number of experimental conditions are
    considered which differ only in the value of some
    controlled variable.
   changes in behavioural measure are attributed to
    different conditions




                                             shafyHCI/sem5_KSS
Experimental factors
   Subjects
    ◦ who – representative, sufficient sample
   Variables
    ◦ things to modify and measure
   Hypothesis
    ◦ what you‟d like to show
   Experimental design
    ◦ how you are going to do it


                                     shafyHCI/sem5_KSS
Variables
   independent variable (IV)
      characteristic changed to produce different conditions
      e.g. interface style, number of menu items


   dependent variable (DV)
      characteristics measured in the experiment
      e.g. time taken, number of errors.




                                                   shafyHCI/sem5_KSS
Hypothesis
   prediction of outcome
    ◦ framed in terms of IV and DV

      e.g. “error rate will increase as font size decreases”


   null hypothesis:
    ◦ states no difference between conditions
    ◦ aim is to disprove this

      e.g. null hyp. = “no change with font size”




                                                     shafyHCI/sem5_KSS
Experimental design
   within groups design
    ◦ each subject performs experiment under each condition.
    ◦ transfer of learning possible
    ◦ less costly and less likely to suffer from user variation.
   between groups design
    ◦   each subject performs under only one condition
    ◦   no transfer of learning
    ◦   more users required
    ◦   variation can bias results.




                                                    shafyHCI/sem5_KSS
Analysis of data
   Before you start to do any statistics:
    ◦ look at data
    ◦ save original data

   Choice of statistical technique depends on
    ◦ type of data
    ◦ information required

   Type of data
    ◦ discrete - finite number of values
    ◦ continuous - any value




                                             shafyHCI/sem5_KSS
Analysis - types of test
   parametric
    ◦ assume normal distribution
    ◦ robust
    ◦ powerful

   non-parametric
    ◦ do not assume normal distribution
    ◦ less powerful
    ◦ more reliable

   contingency table
    ◦ classify data by discrete attributes
    ◦ count number of data items in each group


                                                 shafyHCI/sem5_KSS
Analysis of data (cont.)
   What information is required?
    ◦ is there a difference?
    ◦ how big is the difference?
    ◦ how accurate is the estimate?

   Parametric and non-parametric tests
    mainly address first of these



                                      shafyHCI/sem5_KSS
Experimental studies on
     groups
More difficult than single-user experiments

Problems with:
 ◦   subject groups
 ◦   choice of task
 ◦   data gathering
 ◦   analysis


                                    shafyHCI/sem5_KSS
Subject groups
larger number of subjects
                       more expensive

longer time to `settle down‟
                     … even more variation!

difficult to timetable

so … often only three or four groups




                                         shafyHCI/sem5_KSS
The   task
must encourage cooperation

perhaps involve multiple channels

options:
  ◦ creative task       e.g. „write a short report on …‟
  ◦ decision games      e.g. desert survival task
  ◦ control task        e.g. ARKola bottling plant




                                                    shafyHCI/sem5_KSS
Data gathering
several video cameras
      + direct logging of application

problems:
  ◦ synchronisation
  ◦ sheer volume!

one solution:
  ◦ record from each perspective




                                        shafyHCI/sem5_KSS
Analysis
N.B. vast variation between groups

solutions:
  ◦ within groups experiments
  ◦ micro-analysis (e.g., gaps in speech)
  ◦ anecdotal and qualitative analysis

look at interactions between group and media

controlled experiments may `waste' resources!




                                                shafyHCI/sem5_KSS
Field studies
Experiments dominated by group formation

Field studies more realistic:
   distributed cognition    work studied in context
   real action is situated action
   physical and social environment both crucial


Contrast:
   psychology – controlled experiment
   sociology and anthropology – open study and rich data




                                                      shafyHCI/sem5_KSS
Observational Methods
Think Aloud
Cooperative evaluation
Protocol analysis
Automated analysis
Post-task walkthroughs




                         shafyHCI/sem5_KSS
Think Aloud
   user observed performing task
   user asked to describe what he is doing and why,
    what he thinks is happening etc.

   Advantages
    ◦ simplicity - requires little expertise
    ◦ can provide useful insight
    ◦ can show how system is actually use
   Disadvantages
    ◦ subjective
    ◦ selective
    ◦ act of describing may alter task performance



                                                     shafyHCI/sem5_KSS
Cooperative evaluation
   variation on think aloud
   user collaborates in evaluation
   both user and evaluator can ask each other
    questions throughout

   Additional advantages
    ◦ less constrained and easier to use
    ◦ user is encouraged to criticize system
    ◦ clarification possible




                                               shafyHCI/sem5_KSS
Protocol analysis
   paper and pencil – cheap, limited to writing speed
   audio – good for think aloud, difficult to match with other protocols
   video – accurate and realistic, needs special equipment, obtrusive
   computer logging – automatic and unobtrusive, large amounts of
    data difficult to analyze
   user notebooks – coarse and subjective, useful insights, good for
    longitudinal studies

   Mixed use in practice.
   audio/video transcription difficult and requires skill.
   Some automatic support tools available




                                                        shafyHCI/sem5_KSS
automated analysis – EVA
   Workplace project
   Post task walkthrough
    ◦ user reacts on action after the event
    ◦ used to fill in intention
   Advantages
    ◦ analyst has time to focus on relevant incidents
    ◦ avoid excessive interruption of task
   Disadvantages
    ◦ lack of freshness
    ◦ may be post-hoc interpretation of events




                                                   shafyHCI/sem5_KSS
post-task walkthroughs
   transcript played back to participant
    for comment
    ◦ immediately   fresh in mind
    ◦ delayed   evaluator has time to identify
      questions
 useful to identify reasons for actions
  and alternatives considered
 necessary in cases where think aloud
  is not possible

                                     shafyHCI/sem5_KSS
Query Techniques
Interviews
Questionnaires




                       shafyHCI/sem5_KSS
Interviews
 analyst questions user on one-to -one basis
  usually based on prepared questions
 informal, subjective and relatively cheap

   Advantages
    ◦ can be varied to suit context
    ◦ issues can be explored more fully
    ◦ can elicit user views and identify unanticipated problems
   Disadvantages
    ◦ very subjective
    ◦ time consuming




                                                   shafyHCI/sem5_KSS
Questionnaires
   Set of fixed questions given to users

   Advantages
    ◦ quick and reaches large user group
    ◦ can be analyzed more rigorously
   Disadvantages
    ◦ less flexible
    ◦ less probing




                                            shafyHCI/sem5_KSS
Questionnaires (ctd)
   Need careful design
    ◦ what information is required?
    ◦ how are answers to be analyzed?


   Styles of question
    ◦   general
    ◦   open-ended
    ◦   scalar
    ◦   multi-choice
    ◦   ranked




                                        shafyHCI/sem5_KSS
Physiological methods
Eye tracking
Physiological measurement




                            shafyHCI/sem5_KSS
eye tracking
 head or desk mounted equipment tracks the
  position of the eye
 eye movement reflects the amount of cognitive
  processing a display requires
 measurements include
    ◦ fixations: eye maintains stable position. Number and
      duration indicate level of difficulty with display
    ◦ saccades: rapid eye movement from one point of interest to
      another
    ◦ scan paths: moving straight to a target with a short fixation
      at the target is optimal




                                                   shafyHCI/sem5_KSS
physiological measurements

 emotional response linked to physical changes
 these may help determine a user‟s reaction to an
  interface
 measurements include:
    ◦ heart activity, including blood pressure, volume and pulse.
    ◦ activity of sweat glands: Galvanic Skin Response (GSR)
    ◦ electrical activity in muscle: electromyogram (EMG)
    ◦ electrical activity in brain: electroencephalogram (EEG)
   some difficulty in interpreting these physiological
    responses - more research needed


                                                                 shafyHCI/sem5_KSS
Choosing an Evaluation
     Method
when in process:         design vs. implementation
style of evaluation:     laboratory vs. field
how objective:           subjective vs. objective
type of measures:        qualitative vs. quantitative
level of information:    high level vs. low level
level of interference:   obtrusive vs. unobtrusive
resources available:     time, subjects,
                         equipment, expertise


                                                    shafyHCI/sem5_KSS

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Chapter3-evaluation techniques HCI

  • 1. chapter 3 - HCI evaluation techniques shafyHCI/sem5_KSS
  • 2. Evaluation Techniques  Evaluation ◦ tests usability and functionality of system ◦ occurs in laboratory, field and/or in collaboration with users ◦ evaluates both design and implementation ◦ should be considered at all stages in the design life cycle shafyHCI/sem5_KSS
  • 3. Goals of Evaluation  assess extent of system functionality  assess effect of interface on user  identify specific problems shafyHCI/sem5_KSS
  • 4. Evaluating Designs Cognitive Walkthrough Heuristic Evaluation Review-based evaluation shafyHCI/sem5_KSS
  • 5. Cognitive Walkthrough Proposed by Polson et al. ◦ evaluates design on how well it supports user in learning task ◦ usually performed by expert in cognitive psychology ◦ expert „walks though‟ design to identify potential problems using psychological principles ◦ forms used to guide analysis shafyHCI/sem5_KSS
  • 6. Cognitive Walkthrough (ctd)  For each task walkthrough considers ◦ what impact will interaction have on user? ◦ what cognitive processes are required? ◦ what learning problems may occur?  Analysis focuses on goals and knowledge: does the design lead the user to generate the correct goals? shafyHCI/sem5_KSS
  • 7. Heuristic Evaluation  Proposed by Nielsen and Molich.  usability criteria (heuristics) are identified  design examined by experts to see if these are violated  Example heuristics ◦ system behaviour is predictable ◦ system behaviour is consistent ◦ feedback is provided  Heuristic evaluation `debugs' design. shafyHCI/sem5_KSS
  • 8. Review-based evaluation  Results from the literature used to support or refute parts of design.  Care needed to ensure results are transferable to new design.  Model-based evaluation  Cognitive models used to filter design options e.g. GOMS prediction of user performance.  Design rationale can also provide useful evaluation information shafyHCI/sem5_KSS
  • 9. Evaluating through user Participation shafyHCI/sem5_KSS
  • 10. Laboratory studies  Advantages: ◦ specialist equipment available ◦ uninterrupted environment  Disadvantages: ◦ lack of context ◦ difficult to observe several users cooperating  Appropriate ◦ if system location is dangerous or impractical for constrained single user systems to allow controlled manipulation of use shafyHCI/sem5_KSS
  • 11. Field Studies  Advantages: ◦ natural environment ◦ context retained (though observation may alter it) ◦ longitudinal studies possible  Disadvantages: ◦ distractions ◦ noise  Appropriate ◦ where context is crucial for longitudinal studies shafyHCI/sem5_KSS
  • 12. Evaluating Implementations Requires an artefact: simulation, prototype, full implementation shafyHCI/sem5_KSS
  • 13. Experimental evaluation  controlled evaluation of specific aspects of interactive behaviour  evaluator chooses hypothesis to be tested  a number of experimental conditions are considered which differ only in the value of some controlled variable.  changes in behavioural measure are attributed to different conditions shafyHCI/sem5_KSS
  • 14. Experimental factors  Subjects ◦ who – representative, sufficient sample  Variables ◦ things to modify and measure  Hypothesis ◦ what you‟d like to show  Experimental design ◦ how you are going to do it shafyHCI/sem5_KSS
  • 15. Variables  independent variable (IV) characteristic changed to produce different conditions e.g. interface style, number of menu items  dependent variable (DV) characteristics measured in the experiment e.g. time taken, number of errors. shafyHCI/sem5_KSS
  • 16. Hypothesis  prediction of outcome ◦ framed in terms of IV and DV e.g. “error rate will increase as font size decreases”  null hypothesis: ◦ states no difference between conditions ◦ aim is to disprove this e.g. null hyp. = “no change with font size” shafyHCI/sem5_KSS
  • 17. Experimental design  within groups design ◦ each subject performs experiment under each condition. ◦ transfer of learning possible ◦ less costly and less likely to suffer from user variation.  between groups design ◦ each subject performs under only one condition ◦ no transfer of learning ◦ more users required ◦ variation can bias results. shafyHCI/sem5_KSS
  • 18. Analysis of data  Before you start to do any statistics: ◦ look at data ◦ save original data  Choice of statistical technique depends on ◦ type of data ◦ information required  Type of data ◦ discrete - finite number of values ◦ continuous - any value shafyHCI/sem5_KSS
  • 19. Analysis - types of test  parametric ◦ assume normal distribution ◦ robust ◦ powerful  non-parametric ◦ do not assume normal distribution ◦ less powerful ◦ more reliable  contingency table ◦ classify data by discrete attributes ◦ count number of data items in each group shafyHCI/sem5_KSS
  • 20. Analysis of data (cont.)  What information is required? ◦ is there a difference? ◦ how big is the difference? ◦ how accurate is the estimate?  Parametric and non-parametric tests mainly address first of these shafyHCI/sem5_KSS
  • 21. Experimental studies on groups More difficult than single-user experiments Problems with: ◦ subject groups ◦ choice of task ◦ data gathering ◦ analysis shafyHCI/sem5_KSS
  • 22. Subject groups larger number of subjects more expensive longer time to `settle down‟ … even more variation! difficult to timetable so … often only three or four groups shafyHCI/sem5_KSS
  • 23. The task must encourage cooperation perhaps involve multiple channels options: ◦ creative task e.g. „write a short report on …‟ ◦ decision games e.g. desert survival task ◦ control task e.g. ARKola bottling plant shafyHCI/sem5_KSS
  • 24. Data gathering several video cameras + direct logging of application problems: ◦ synchronisation ◦ sheer volume! one solution: ◦ record from each perspective shafyHCI/sem5_KSS
  • 25. Analysis N.B. vast variation between groups solutions: ◦ within groups experiments ◦ micro-analysis (e.g., gaps in speech) ◦ anecdotal and qualitative analysis look at interactions between group and media controlled experiments may `waste' resources! shafyHCI/sem5_KSS
  • 26. Field studies Experiments dominated by group formation Field studies more realistic: distributed cognition work studied in context real action is situated action physical and social environment both crucial Contrast: psychology – controlled experiment sociology and anthropology – open study and rich data shafyHCI/sem5_KSS
  • 27. Observational Methods Think Aloud Cooperative evaluation Protocol analysis Automated analysis Post-task walkthroughs shafyHCI/sem5_KSS
  • 28. Think Aloud  user observed performing task  user asked to describe what he is doing and why, what he thinks is happening etc.  Advantages ◦ simplicity - requires little expertise ◦ can provide useful insight ◦ can show how system is actually use  Disadvantages ◦ subjective ◦ selective ◦ act of describing may alter task performance shafyHCI/sem5_KSS
  • 29. Cooperative evaluation  variation on think aloud  user collaborates in evaluation  both user and evaluator can ask each other questions throughout  Additional advantages ◦ less constrained and easier to use ◦ user is encouraged to criticize system ◦ clarification possible shafyHCI/sem5_KSS
  • 30. Protocol analysis  paper and pencil – cheap, limited to writing speed  audio – good for think aloud, difficult to match with other protocols  video – accurate and realistic, needs special equipment, obtrusive  computer logging – automatic and unobtrusive, large amounts of data difficult to analyze  user notebooks – coarse and subjective, useful insights, good for longitudinal studies  Mixed use in practice.  audio/video transcription difficult and requires skill.  Some automatic support tools available shafyHCI/sem5_KSS
  • 31. automated analysis – EVA  Workplace project  Post task walkthrough ◦ user reacts on action after the event ◦ used to fill in intention  Advantages ◦ analyst has time to focus on relevant incidents ◦ avoid excessive interruption of task  Disadvantages ◦ lack of freshness ◦ may be post-hoc interpretation of events shafyHCI/sem5_KSS
  • 32. post-task walkthroughs  transcript played back to participant for comment ◦ immediately fresh in mind ◦ delayed evaluator has time to identify questions  useful to identify reasons for actions and alternatives considered  necessary in cases where think aloud is not possible shafyHCI/sem5_KSS
  • 34. Interviews  analyst questions user on one-to -one basis usually based on prepared questions  informal, subjective and relatively cheap  Advantages ◦ can be varied to suit context ◦ issues can be explored more fully ◦ can elicit user views and identify unanticipated problems  Disadvantages ◦ very subjective ◦ time consuming shafyHCI/sem5_KSS
  • 35. Questionnaires  Set of fixed questions given to users  Advantages ◦ quick and reaches large user group ◦ can be analyzed more rigorously  Disadvantages ◦ less flexible ◦ less probing shafyHCI/sem5_KSS
  • 36. Questionnaires (ctd)  Need careful design ◦ what information is required? ◦ how are answers to be analyzed?  Styles of question ◦ general ◦ open-ended ◦ scalar ◦ multi-choice ◦ ranked shafyHCI/sem5_KSS
  • 37. Physiological methods Eye tracking Physiological measurement shafyHCI/sem5_KSS
  • 38. eye tracking  head or desk mounted equipment tracks the position of the eye  eye movement reflects the amount of cognitive processing a display requires  measurements include ◦ fixations: eye maintains stable position. Number and duration indicate level of difficulty with display ◦ saccades: rapid eye movement from one point of interest to another ◦ scan paths: moving straight to a target with a short fixation at the target is optimal shafyHCI/sem5_KSS
  • 39. physiological measurements  emotional response linked to physical changes  these may help determine a user‟s reaction to an interface  measurements include: ◦ heart activity, including blood pressure, volume and pulse. ◦ activity of sweat glands: Galvanic Skin Response (GSR) ◦ electrical activity in muscle: electromyogram (EMG) ◦ electrical activity in brain: electroencephalogram (EEG)  some difficulty in interpreting these physiological responses - more research needed shafyHCI/sem5_KSS
  • 40. Choosing an Evaluation Method when in process: design vs. implementation style of evaluation: laboratory vs. field how objective: subjective vs. objective type of measures: qualitative vs. quantitative level of information: high level vs. low level level of interference: obtrusive vs. unobtrusive resources available: time, subjects, equipment, expertise shafyHCI/sem5_KSS