Lecture 4 - Evaluation Flashcards

1
Q

Formative Evaluation

A

Not public, just a draft with all the information that needs to be evaluated

  • Exploratory
  • Informs the design process
  • Gives insight into design problem and solution
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2
Q

Summative Evaluation

A
  • Conclusive

- Assesses the success and quality of the design

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3
Q

Quantitative

A
  • About result of Human Robot Interaction
  • Systematic
  • Empirical/numerical data
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4
Q

Qualitative

A
  • About the process of HRI
  • Meaning of / description of
  • Non-numerical data
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5
Q

Simulation Types

A
  • Artificial interactions

- Mock-up interactions

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6
Q

Simulation

A

They evaluate:

  • Technical performance
  • System behavior
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7
Q

User Study

A
  • Real people /End users

- Essential for user-centered design

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8
Q

User study - In the lab

A
  • More control

- Lower validity

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9
Q

User study - In the wild

A
  • Less Control

- More validity

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10
Q

Types of evaluation

A
  • Exploration
  • Comparison
  • RCT
  • Pilot
  • Hybrid
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11
Q

Exploration Goals

A
  • Gain insight into processes

- Generate research questions/hypotheses

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12
Q

Exploration Characteristics

A
  • Formative
  • Qualitative
  • One condition
  • Less strict
  • Low-medium # participants
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13
Q

Comparison Goals

A
  • Validate design

- Measure the effect of the design

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14
Q

Comparison Characteristics

A
  • Compares robot with and without designed behavior
  • Summative
  • Quantitative
  • Strict procedure
  • Medium-high # participants
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15
Q

RCT Goals

A
  • Validate Solution

- Measure effectiveness

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16
Q

RCT Characteristics

A
  • Compare solution to control group
  • Summative
  • Quantitative
  • Very strict procedure
  • High # participants
17
Q

Pilot Goals

A
  • Evaluate proof of concept

- evaluate research set-up

18
Q

Pilot Goals

A
  • Formative
  • Less strict
  • Low # participants
19
Q

Hybrid

A

Save time and resources. It is a mixture of other study type goals and characteristics.

20
Q

How to choose a research question?

A
  • Design objective

- Use case objective

21
Q

How to choose a hypothesis?

A
  • Claims

- Evidence-based

22
Q

Independent Variables

A

Variables that the user control. There are levels

23
Q

Dependent variables

A

Things that the user can measure. Ratios, Cardinal or Nominal.

24
Q

Between Subject setting

A

different people test each condition so that each person is only exposed to a single user interface. AB test is an example of this.

25
Within-subjects setting
The same person tests all the conditions
26
Types of settings
- Between subject vs within subjects - One measurement vs repeated measurements - Randomization - Counter balancing - balancing user characteristics
27
What to do with participants
- Who, why, where and when. - They need informed consent - amount of participants - Recruitment and preparation
28
Stepwise procedural description of the experiment
Description of the process from the moment the participant is collected to the moment the participant is escorted out of the room.
29
Measures and Instruments
- Biographical Data - User experience: Measure for effectiveness, efficiency, satisfaction. - Psychological constructs - Interview - Observation - Logs - Others
30
Types of observation
- Human/automatic - Present/remote - Direct/delayed - Observers independent/dependent, trained, mechanical turk
31
Types of results
- Factual: No interpretation of the results, no speculation - Results and analysis method - Metrics and statistics: Cover assumptions using statistical tests. - Tables & figure
32
Discussion
- Interpretation, implication, and argumentation of results - Lesson learned? - Limitation to the study