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Journal

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Thought sampling. Uses random paging. Series of questionnaires to determine 'mental content' 24 4-point scales for features of thought ... – PowerPoint PPT presentation

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Title: Journal


1
Journal pager studies
  • Experience sampling techniques

2
Agenda
  • Questions
  • Examples of physical prototypes
  • Exam II format
  • Overview of sampling techniques
  • Pager studies
  • Diary studies

3
Overview of sampling methods
  • Can be formative or summative
  • Depends on types of questions
  • Format of study
  • Uses of results
  • Qualitative or quantitative methods
  • Pager / beeper sampling
  • Journal / diary studies

4
Goals
  • Remove constraints of more structured methods
  • Understand experience in natural settings
  • Better understanding of experience over time

5
Beeper study basics
  • Page participants at random or regular intervals
  • Have them answer questions in context within a
    fixed amount of time

6
Journal study basics
  • Users self-report on experiences at regular
    intervals, as desired, or when a significant
    event occurs
  • Given specific questions to answer or general
    subjects about which to report

7
Types of beeper sampling methods
  • Taken from psychology
  • Thought sampling
  • Experience sampling method (ESM)
  • Descriptive experience sampling

8
Thought sampling
  • Uses random paging
  • Series of questionnaires to determine mental
    content
  • 24 4-point scales for features of thought
  • (e.g., detail, color, auditoriness, interior
    monologue)

9
Experience sampling method
  • More general than thought-sampling
  • Does not necessarily measure thought variables
  • Focuses on context of experience
  • Where are you? With whom? What are you doing?
  • Often uses Likert scales or multiple choice to
    assess experience

10
Example
  • iESP (Intels ESM on PalmOS PDAs)
  • Alert the participants about the questionnaires
  • Capture the participants' responses
  • Consolvo Walker

11
Descriptive experience sampling
  • Qualitative (no Likert scales!)
  • Encourages study participants to develop their
    own descriptive language
  • Less constraint on user responses

12
Benefits
  • Asks users to report what they were doing before
    the page
  • Users less likely to modify behavior
  • Can collect data at any time no observer needed
  • Can help get at tacit knowledge

13
Limitations
  • Certain populations unwilling to carry pager
  • Potentially inconvenient
  • How much time between page and response?
  • Random or timed paging may miss important
    experiences
  • Potential for post-hoc rationalization

14
Pager study design factors
  • How often to page
  • How much time between page and response
  • Random or regular paging
  • Question content and format

15
Diary / journal studies
  • Qualitative method
  • Participant creates logs of activities
  • Generally gives control of data collection to
    participant
  • Also good for collecting data over time

16
Diary study design factors
  • Structure of questions
  • Record all activities or questions about specific
    activities?
  • Prescribed time to log, or left up to
    participant?
  • Once a day?
  • Every time you use a system?
  • Every time a significant event occurs?
  • Means of recording
  • Writing, web entry, audio, photographs?

17
Benefits of diary studies
  • Non-intrusive, non-interrupting
  • Participants log at their convenience
  • Potential for detailed, interpreted answers
  • Not random
  • Participants will report most significant
    information

18
Limitations
  • Relies on participants to remember to log
  • Amount of information will vary with
    participants motivation
  • Much time may elapse between experience and
    reporting
  • Potential for post-hoc rationalization

19
Example
  • PAL diary study
  • Fits in ones pocket
  • Record when PAL is desirable
  • Hayes et al. MobileHCI 04

20
Some advice
  • Truongs rule on beeper journal studies
  • Make as convenient as possible for participants
  • If it seems the evaluators job is to sit back
    and relax while the participants do all the work,
  • Understand if significant events are missed
  • Understand what the participants logged and why

21
Upcoming
  • Advanced topics
  • Designing for the Web (Wednesday)
  • Alternate input / output (Friday)
  • UIST
  • UbiComp
  • Exam II
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