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Evaluation Overview

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Lab studies, quantitative results. Typically in a closed, lab setting ... Oral advs: Can ask follow-up questions. Oral disadvs: Costly, time-consuming ... – PowerPoint PPT presentation

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Title: Evaluation Overview


1
Evaluation Overview
2
Agenda
  • Questions
  • Intro to evaluation
  • Forms of evaluation
  • Questionnaire design

3
Why evaluation is done?
  • Summative
  • assess an existing system
  • judge if it meets some criteria
  • Formative
  • assess a system being designed
  • gather input to inform design
  • Summative or formative?
  • Depends on
  • maturity of system
  • how evaluation results will be used
  • Same technique can be used for either

4
Other distinctions
  • Form of results of obtained
  • Quantitative
  • Qualitative
  • Who is experimenting with the design
  • End users
  • HCI experts
  • Approach
  • Experimental
  • Naturalistic
  • Predictive

5
Experimental Approach
  • Lab studies, quantitative results
  • Typically in a closed, lab setting
  • Manipulate independent variables to see effect on
    dependent variables
  • Replicable
  • Expensive, requires real users and lab

6
Naturalistic Approach
  • Field studies (qualitative results)
  • Observation occurs in real life setting
  • Watch process over time
  • Ecologically valid
  • Cheap, quick, less training required
  • Not reproducible user-specific results
  • Not quantitative (how much better is it?)

7
Predictive Evaluation
  • Try to predict usage before real users are
    involved
  • Conserve resources (quick low cost)
  • Expert reviewers often used
  • HCI experts (not real users) interact with
    system, find potential problems, and give
    prescriptive feedback
  • Best if they
  • Havent used earlier prototype
  • Familiar with domain or task
  • Understand user perspectives

8
Making an evaluation plan
  • What criteria are important?
  • What resources available?
  • evaluators, prototype, subjects
  • Required authenticity of system

9
Evaluation techniques
  • Predictive modeling
  • Questionnaire
  • Empirical user studies
  • Heuristic evaluation
  • Cognitive walkthrough
  • Think aloud (protocol analysis)
  • Interviews
  • Experience Sampling
  • Focus Groups

10
Questionnaire design
  • Summative or formative
  • Quantitative or qualitative
  • Usually inexpensive way to get lots of information

11
Questionnaires
  • Preparation is expensive, but administration is
    cheap
  • Oral vs. written
  • Oral advs Can ask follow-up questions
  • Oral disadvs Costly, time-consuming
  • Forms can provide better quantitative data

12
Questionnaire design
  • Take your own survey first
  • Know what answers you are trying to elicit
  • Too long, and youll be sorry

13
Questionnaires
  • Issues
  • Only as good as questions you ask
  • Establish purpose of questionnaire
  • Dont ask things that you will not use
  • Who is your audience?
  • How do you deliver and collect questionnaire?

14
Questionnaire Topic
  • Can gather demographic data and data about the
    interface being studied
  • Demographic data
  • Age, gender
  • Task expertise
  • Motivation
  • Frequency of use
  • Education/literacy

15
Interface Data
  • Can gather data about
  • screen
  • graphic design
  • terminology
  • capabilities
  • learning
  • overall impression
  • ...

16
Question Format
  • Closed format
  • Answer restricted to a set of choices
  • Typically very quantifiable
  • Variety of styles

17
Closed Format
  • Likert Scale
  • Typical scale uses 5, 7 or 9 choices
  • Above that is hard to discern
  • Doing an odd number gives the neutral choice in
    the middle

Characters on screen hard to read
easy to read 1
2 3 4 5 6
7
18
Other Styles
Rank from 1 - Very helpful 2 - Ambivalent 3 - Not
helpful 0 - Unused
Which word processingsystems do you use?
LaTeX
Word
___ Tutorial ___ On-line help ___ Documentation
FrameMaker
WordPerfect
19
Closed Format
  • Advantages
  • Clarify alternatives
  • Easily quantifiable
  • Eliminate useless answer
  • Disadvantages
  • Must cover whole range
  • All should be equally likely
  • Dont get interesting, different reactions

20
Open Format
  • Asks for unprompted opinions
  • Good for general, subjective information, but
    difficult to analyze rigorously
  • May help with design ideas
  • Can you suggest improvements to this interface?

21
Questionnaire Issues
  • Question specificity
  • Do you have a computer?
  • Language
  • Beware terminology, jargon
  • Clarity
  • Leading questions
  • Can be phrased either positive or negative

22
Questionnaire Issues
  • Prestige bias
  • People answer a certain way because they want you
    to think that way about them
  • Embarrassing questions
  • Hypothetical questions

23
Deployment
  • Steps
  • Discuss questions among team
  • Administer verbally/written to a few people
    (pilot). Verbally query about thoughts on
    questions
  • Administer final test

24
Examples
  • See Web
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