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Summary Usability & UX Evaluation

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The summary contains information about the lectures and related scientific articles.

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  • 15 december 2022
  • 21
  • 2022/2023
  • Samenvatting
  • usability
  • user experience
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irislubbes
Usability and UX Evaluation

Lecture 1
Usability = the user can do what he or she wants to do the way he or she expects to be able
to do it, without hindrance, hesitation or questions
 Absence of frustration
 Usability is only an issue when it’s absent
 Sometimes only visible when innovation takes place, but we need usability
evaluation to get there

3 dimensions of usability:
 Effectiveness (task completion)
 Efficiency (time spent)
 Satisfaction (no discomfort, positive attitude)

Bailey’s human performance model (all these factors are constantly in motion):




User experience phases:
Phase Time Factors
System reliability phase Before 1950s Stability
System performance phase 1950s – 1960s Speed (no ‘users’ yet)
User performance phase 1960s – 1970s Non-specialist users
Usability phase 1980s – 2000s Novice users
User experience phase 2000s - Young and exciting

User experience = a person’s perceptions and responses resulting from the use and/or
anticipated use of a product, system or service. A consequence of a user’s internal state
(predispositions, expectations, needs, motivation, mood, etc.), the characteristics of the
designed system (e.g. complexity, purpose, usability, functionality, etc.) and the context
within which the interaction occurs.
 UX is an extension of the ‘satisfaction’ part of usability

UX in time:

,UX evaluation:
 Income of your user
 Aligning pre-existing personas
 Validating assumptions
 Adjust experience throughout all phases

Improve the evaluation of the municipality;
Human – Who is the user?
 What is my situation and what are my goals?

Context – How did the user get there?
 What happened ‘outside’ the form?

Activity – What was he trying to do?
 How did this form relate to what I was trying to achieve?

Usefulness = the degree to which a product enables a user to achieve his or her goals and is
an assessment of the user’s willingness to use the product at all
 Danger of early usability testing
o Fixing problems instead of expanding solution space
 Apply the right methods for the right phase
o Concept drawings do not provide deep insights
o Task-centered evaluations focus on the negative

Considerations:
 Planning  approach, methods & time
 Sample  sampling technique, kind of users, size
 Ethics  content, data transparency, privacy (GDPR)

Five potential research directions:
 A more holistic vision for UX evaluation: pragmatic and hedonic
 Inspection methods for hedonic attributed: psychophysiology
 Core skills needed for evaluation: what do we all need in an interdisciplinary field?

Triangulation = an approach to data collection and analysis that uses multiple methods,
measures, or approaches to look for convergence on product requirements or problem
areas.

, Benefits of triangulation:
 More in-depth understanding
 More richness, varied set of data
 More convincing, persuasive recommendations
 Reduce ‘inappropriate certainty’ that not much is wrong with a design
 Prioritizing requirements

Sequential triangulation = the quantitative phase of data collection and analysis follows the
qualitative phase of data collection and analysis

Concurrent triangulation = two or more methods used to confirm, cross-validate, or
corroborate findings within a study.

Lecture 2
Five basic types of performance metrics:
 Task of success = measures how effectively users are able to complete a given set of
tasks
o Binary success = you complete a task or you didn’t
o Levels of success = useful when there are reasonable shades of gray
associated with task success
 Time on task = measures how much time is required to complete a task
 Errors = reflect the mistakes made during a task
 Efficiency = examining the amount of effort a user expends to complete a task
 Learnability = a way to measure how performance improves or fails to improve over
time

Advantages:
 Statistically valid
 Clear to explain
 Easy to compare

But beware of:
 Number fetishism
 Cause & effect implications: covariates

Task success
For example: Complete the checkout process by reaching the “End of transaction” screen,
having bought the correct Harry Potter book

Types of task failure
 Giving up: participants indicate that they would not continue with the task
 Moderator ‘calls’ it: the moderator stops the task because it’s clear that the
participant is not making any progress
 Too long: completed the task but not in the predefined time period
 Wrong: participants thought that they completed the task successfully, but they
actually did not
A lot of this depends on the thoroughness of your setup.

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