data-collection techniques

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Data-collection techniques

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Data-collection techniques. Contents. Types of data Observations Event logs Questionnaires Interview. Two types of data. Usability Measures. Use/problem Descriptions. Observations. Observe in real-time or from video recordings Can be used both for measures and descriptions. - PowerPoint PPT Presentation

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Page 1: Data-collection techniques

Data-collection techniques

Page 2: Data-collection techniques

Contents

Types of data Observations Event logs Questionnaires Interview

Page 3: Data-collection techniques

Two types of data

Usability MeasuresUse/problemDescriptions

Page 4: Data-collection techniques

Observations

Observe in real-time or from video recordings

Can be used both for measures and descriptions

Usability MeasuresUse/problemDescriptions

Page 5: Data-collection techniques

http://www.mangold.de/english/intoverview.htm

Page 6: Data-collection techniques

Measures from observations

Particularly suitable for measuring effectivity and efficiency

How many tasks were performed?

How quickly was the task performed?

Were the goals achieved?

How many errors were made?

Effectivity

Efficiency

Page 7: Data-collection techniques

Use/problem descriptions from observations

Description of breakdowns Describe situations when there is a

”breakdown” in the users interaction with the product

Description of use Describe how the user actually used the

product

Page 8: Data-collection techniques

Event logs

Logging of the user’s interaction with the product

Typically collected automatically Can be used both for measures and

descriptions

Usability MeasuresUse/problemDescriptions

Page 10: Data-collection techniques

http://zing.ncsl.nist.gov/WebTools/FLUD/example-pretty.html

Page 13: Data-collection techniques

http://zing.ncsl.nist.gov/hfweb/proceedings/etgen-cantor/

Page 15: Data-collection techniques

http://www.mangold.de/english/patternexample.htm

Page 16: Data-collection techniques

http://zing.ncsl.nist.gov/WebTools/VisVIP/overview.html

Page 17: Data-collection techniques

Measures from event logs

Suitable for measuring effectivity and efficiency

Effectivity

Efficiency

Page 18: Data-collection techniques

Use/problem descriptions from event logs

Visualise interaction patterns (Quantify use)

Page 19: Data-collection techniques

Questionnaire

Self-made or validated Most useful for collecting measures

Usability Measures

Page 20: Data-collection techniques

Self-made or validated?

Designing your own questionnaire allows you to address issues of particular interest; however, it is difficult to create good items

Validated questionnaires (e.g. SUMI) have typically gone through extensive testing. Thus, test items are generally good, but they may not address the issues you are particularly interested in.

Page 21: Data-collection techniques

http://www.acm.org/~perlman/question.cgi?form=NAU

Page 22: Data-collection techniques

http://www.acm.org/~perlman/question.cgi?form=ASQ

Page 23: Data-collection techniques

http://www.acm.org/~perlman/question.cgi?form=PUEU

Page 24: Data-collection techniques

Measures from questionnaires

Can be used for measuring all attributes, but is particularly suitable for measuring satisfaction; we are interested in the user’s subjective opinion

Satisfaction

Page 25: Data-collection techniques

Interview

Structured, semi-structured, open Most useful for use/problem

descriptions

Use/problemDescriptions

Page 26: Data-collection techniques

Use/problem descriptions from interviews

Information about previous experiences and knowledge that might explain the user’s performance

Obtain explanations: the user’s preferences Breakdowns errors

Page 27: Data-collection techniques

Student tasks

• What data-collection techniques do you think are suitable for testing your product?

• What do you believe are the strengths and weaknesses of the technique?