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Evaluation with Users Quiz :Evaluating User Interfaces (User Interface Design Specialization) Answers 2026

Question 1

Voluntary, informed consent in user evaluation

  • ❌ Once people volunteer, it’s OK to require them to finish

  • ❌ Must tell exactly what you’re looking for

  • ❌ Best to use employees/students

  • It is important to make sure that users do not feel coerced to participate

Explanation:
Consent must be voluntary, and participants must feel free to withdraw at any time without pressure.


Question 2

Purpose and nature of massive A/B testing

  • ❌ Inflate statistical significance artificially

  • ❌ Users opt in and choose versions

  • ❌ Two-answer surveys

  • Randomly assigning users in live systems to test which designs best meet user and business goals

Explanation:
Modern A/B testing uses randomized experiments at scale to measure real behavior.


Question 3 (Select all that apply)

True of summative evaluations

  • Typically include comparison with alternatives or baselines

  • ❌ No specific tasks

  • ❌ Answer “why” and lead to design implications

  • Typically include quantitative metrics

Explanation:
Summative evaluation focuses on measurement and comparison, not deep “why” insights.


Question 4 (Select all that apply)

What should be included when describing study goals

  • Risks and benefits of participating

  • ❌ Explaining participant performance will be evaluated

  • Clarifying that the prototype—not the user—is being tested

  • Instructions about tasks (think aloud, speed, etc.)

Explanation:
Participants should feel safe, informed, and clear about expectations.


Question 5 (Select all that apply)

Reasons to create a written user test plan

  • Knowing what you will measure

  • Managing session time

  • Piloting and refining the study

  • Defining what “good” or “better” means

Explanation:
A test plan ensures clarity, consistency, and rigor.


Question 6 (Select all that apply)

What is missing from “General population” user description

  • Inclusion and exclusion criteria

  • ❌ Research roles

  • Number of users needed

  • Recruitment strategy

Explanation:
User descriptions must be specific and actionable.


Question 7 (Select all that apply)

Quantitative metrics in the ShareTable deployment

  • ❌ Communication diaries

  • ❌ Weekly interviews

  • Pre- and post-deployment relationship quality questionnaires

  • ❌ Automated sentiment analysis of video

Explanation:
Standardized questionnaires produce numeric, quantitative data.


Question 8 (Select all that apply)

Reasons to conduct field studies

  • More realistic user experience

  • ❌ Cheaper and easier than lab studies

  • More authentic system use and comparison

  • Addresses novelty effects

Explanation:
Field studies capture real-world behavior over time.


Question 9 (Select all that apply)

Reasons to use A/B testing

  • Supports careful, incremental changes

  • Quantifies design effectiveness scientifically

  • ❌ Easy to conduct

  • ❌ Reveals user intent

Explanation:
A/B testing measures what works, not why users behave as they do.


Question 10 (Select all that apply)

Correct statements about factorial design

  • 2 × 2 × 3 = 12 conditions

  • ❌ 2 × 2 = 8 conditions

  • ❌ 2 × 2 × 2 = 4 conditions

  • Definition of full factorial experiment

Explanation:
Number of conditions = product of factor levels.


Question 11 (Select all that apply)

Correct statements about log analysis

  • ❌ Can tell people’s experience

  • Limited to existing interactions

  • Powerful for quantifying effectiveness and informing design

  • ❌ Can tell people’s beliefs

Explanation:
Log analysis shows what users do, not what they think or feel.


🧾 Summary Table

Question Correct Answer(s)
Q1 Avoid coercion
Q2 Randomized live experiments
Q3 Comparison, quantitative metrics
Q4 Risks/benefits, prototype-not-user, task instructions
Q5 All options
Q6 Inclusion criteria, number, recruitment
Q7 Pre/post questionnaires
Q8 Realism, authenticity, novelty control
Q9 Incremental change, scientific measurement
Q10 12 conditions; full factorial definition
Q11 Limited to interactions; quantification