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
Q

Within-subjects setting

A

The same person tests all the conditions

26
Q

Types of settings

A
  • Between subject vs within subjects
  • One measurement vs repeated measurements
  • Randomization
  • Counter balancing
  • balancing user characteristics
27
Q

What to do with participants

A
  • Who, why, where and when.
  • They need informed consent
  • amount of participants
  • Recruitment and preparation
28
Q

Stepwise procedural description of the experiment

A

Description of the process from the moment the participant is collected to the moment the participant is escorted out of the room.

29
Q

Measures and Instruments

A
  • Biographical Data
  • User experience: Measure for effectiveness, efficiency, satisfaction.
  • Psychological constructs
  • Interview
  • Observation
  • Logs
  • Others
30
Q

Types of observation

A
  • Human/automatic
  • Present/remote
  • Direct/delayed
  • Observers independent/dependent, trained, mechanical turk
31
Q

Types of results

A
  • Factual: No interpretation of the results, no speculation
  • Results and analysis method
  • Metrics and statistics: Cover assumptions using statistical tests.
  • Tables & figure
32
Q

Discussion

A
  • Interpretation, implication, and argumentation of results
  • Lesson learned?
  • Limitation to the study