Evaluation with Users Quiz :Evaluating User Interfaces (User Interface Design Specialization) Answers 2026
Question 1
Voluntary, informed consent in user evaluation
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❌ Once people volunteer, it’s OK to require them to finish
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❌ Must tell exactly what you’re looking for
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❌ Best to use employees/students
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✅ 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
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❌ Inflate statistical significance artificially
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❌ Users opt in and choose versions
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❌ Two-answer surveys
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✅ 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
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✅ Typically include comparison with alternatives or baselines
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❌ No specific tasks
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❌ Answer “why” and lead to design implications
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✅ 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
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✅ Risks and benefits of participating
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❌ Explaining participant performance will be evaluated
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✅ Clarifying that the prototype—not the user—is being tested
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✅ 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
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✅ Knowing what you will measure
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✅ Managing session time
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✅ Piloting and refining the study
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✅ 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
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✅ Inclusion and exclusion criteria
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❌ Research roles
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✅ Number of users needed
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✅ Recruitment strategy
Explanation:
User descriptions must be specific and actionable.
Question 7 (Select all that apply)
Quantitative metrics in the ShareTable deployment
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❌ Communication diaries
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❌ Weekly interviews
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✅ Pre- and post-deployment relationship quality questionnaires
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❌ Automated sentiment analysis of video
Explanation:
Standardized questionnaires produce numeric, quantitative data.
Question 8 (Select all that apply)
Reasons to conduct field studies
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✅ More realistic user experience
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❌ Cheaper and easier than lab studies
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✅ More authentic system use and comparison
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✅ Addresses novelty effects
Explanation:
Field studies capture real-world behavior over time.
Question 9 (Select all that apply)
Reasons to use A/B testing
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✅ Supports careful, incremental changes
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✅ Quantifies design effectiveness scientifically
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❌ Easy to conduct
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❌ 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
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✅ 2 × 2 × 3 = 12 conditions
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❌ 2 × 2 = 8 conditions
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❌ 2 × 2 × 2 = 4 conditions
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✅ Definition of full factorial experiment
Explanation:
Number of conditions = product of factor levels.
Question 11 (Select all that apply)
Correct statements about log analysis
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❌ Can tell people’s experience
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✅ Limited to existing interactions
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✅ Powerful for quantifying effectiveness and informing design
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❌ 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 |