Evaluation of datavis Flashcards

1
Q

What are the possible purposes of a visualization? (5)

A
  1. explore
  2. explain
  3. inform
  4. plan
  5. monitoring
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2
Q

What makes a good visualization? (6)

A
  1. Serve a purpose
  2. Tailored to an audience
  3. Tailored to the medium
  4. Do a task/insight
  5. Is memorable and makes an impact
  6. illustrates a point
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3
Q

What makes a bad visualization? (5)

A
  1. Difficult to interpret
  2. Misleading
  3. Redundant
  4. Much useless information
  5. Cluttered
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4
Q

What do you need to know before designing a visualization? (2)

A
  1. Caracteristics of the data

2. Goals and tasks

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5
Q

Define usability:

A

the extent to which a product can be used by specified users to achieve specified goals with
effectiveness, efficiency, and satisfaction in a specified context of
use

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6
Q

Define effectiveness:

A

to what extent users achieve their objective

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7
Q

Define efficiency:

A

The amount of effort users put into the task

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8
Q

Define satisfaction:

A

Subjective opinions, attitudes, preferences

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9
Q

Which are the categories empirical evaluations methods can belong to? (2)

A
  1. Quantitative

2. Qualitative

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10
Q

Which metrics do we measure in controlled experiments? (2)

A
  1. Accuracy for effectiveness

2. Completion time for efficiency

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11
Q

Which are the issues we may have in quantitative evaluations? (3)

A
  1. Challenge to involve users
  2. Reliability of the measure
  3. Reproducibility of the measure
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12
Q

Which are the issues we may have in qualitative evaluations? (3)

A
  1. plenty of labor required
  2. unclear sample size
  3. Investigator’s dependent data quality
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13
Q

Which is the goal of qualitative evaluation?

A

Gather information about subjective experience of users

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14
Q

Does qualitative evaluation only collect subjective data?

A

False, it collects both objective and subjective data

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15
Q

List some qualitative approaches: (7)

A
  1. Think-Aloud protocol
  2. Semi-structured interviews
  3. Video and audio recordings
  4. Computer logs
  5. Artifacts (diagrams, drawings)
  6. Focus groups
  7. Questionnaires
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16
Q

What are combined studies?

A

Studies using two or more evaluation methods (quantitative and qualitative)

17
Q

What is the pro of combined studies?

A

Robust results

18
Q

Which are the categories of heuristic evaluation?

A
  1. Inspection techniques (principles)

2. Theoretical analysis (algorithms)