Usability & UX evaluation slides information Flashcards
Define Usability
“The user can do what he or she wants to do, that what he or she expects, to be able to do it, without hindrance, hesitation or questions.
What are the Usbality measures
Efficiency (Time on task)
Effectiveness (Task completion)
Satisfaction (No discomfort, positive attitude)
Name aspects of Bailey’s human performance model
- Somebody (human) -> Detach
- Somewhere (context) => there are more places than you know
- Something *activity) -> Does not exist in a vacuum
All these factors are in motion
Define User Experience
“A person’s perception / responses to the use, or anticipated use of a product, system or service”
Alternate defenition User Experience
The consequences of a user’s internal state (predispositions, expectations, motivation, mood) a systems characteristics (complexity, purpose,usability, functionality, etc.) And the context within which the interaction occurs
What is the difference between UX & Usability?
- Usability is a part of UX
- User Experience is an extension of the satisfaction part of Usability
The UX in time model
When:
- Before Usage, Anticipated UX, Imagining an Experience
- During Usage, Momentary UX, Experiencing
- After Usage, Episodix UX, Reflecting on an experience
- Over time, Cumulative UX, Recollection of periods of use
Aspects you need to watch out for with Usefulness
- Designing the right thing vs. Designing things right (optimizing Usability)
- Danger of early usability testing
- Apply the right method for the right phase (Concept drawings do not provide deep insights, Task-centered evaluations focus on the negative)
Why evaluate?
- Informed design decisions
- Identify design problems and fix them
- Money (cost reduction, profit gain)
- Create feeling of involvement
- Generation of scientific research/ intermediate level knowledge
Factors to inform your research design
- Timing
- Goal (Benchmark, high-level issue)
- Desired output (Qualitative, Quantitative)
- Subject (Prototype, product)
- Available budget
- Level of interaction with participants
- Task-Driven or Natural form (free-form)
How to use evaluations to obtain input for user research
- Evaluations of existing (competitor) products can be part of research
- Other than unearthing existing issues, evaluations can give input for future directions
- Shared methods
Focus of your investigation is either on:
- Behavior
- Attitude
The product feature your investigating is either
- Interface
- Information architecture
Choices for research
Lab vs field testing
Remote evaluations - (a)synchronous
Incidental - Long term
Informal evaluations are..
- Fast & Cheap
- Less planning
- Loose Recruitement (even colleagues)
- Less structured
- Less formal output
Setting up a study holds the following considerations
- Planning (which approach, methods at what time), triangulation)
- Participants (Sampling, depends on question, sample size)
- Ethics (Consent, Right to witdraw, Information is confidential)
Intermediate level knowledge
Represents interesting and important knowledge in design research
Examples:
- Design methods and tools
- Design guidelines
- Usability heuristics
- Patterns
- Strong concepts
- Experiential qualities
- Criticism
- Annotated portfolios
What are design research directions?
- A holistic vision for UX evaluation (Hedonic & Pragmatic)
- Inspection methods for Hedonic attributes (Psychophysiology)
- Core skills needed for evaluation ( What do we all need as interdisciplinary field
- Learn from evaluation in practice)
Triangulation
= An approach to data collection and analyses 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 ‘innaproppriate certainty’ that not much is wrong with a design
- Prioritizing requirements
What can you triangulate?
Any source of data (usability tests, interview, think aloud)
Triangulation methods
Between methods:
- Research methods (implicit & explicit)
- Qualitative & Quantitative
Within methods:
- Observer
- User groups
- Geographic
Sequential triangulation
Sequential (between studies)
- Dairy studies, followed by interview
- User research, followed by evaluation of a prototype
Concurrent triangulation
Concurrent ( In same study more methods)
- Eye tracking and a survey
What are the performance metrics
- Time on task
- Task success
- Errors
- Click paths
What are the advantages of using performance metrics?
- Statistically valid
- Clear to explain
- Easy to compare
What are Challenges with performance metrics
- Beware of number fetishism
- Cause & effect implications
- Covariates
When is a task not succesful?
- Person gives up
- Time limit reached
- Researcher intervenes
- Incorrect answer
Levels of succes
Usability perspective:
- Complete succes: with or without assistanc
- Partial success: with or without assistance
- Failure: User thought it was complete but it wasn’t, user gave up
UX perspective:
1 = no problem (user completed task without difficulty)
2= Minor problem (completed task, with slight detour or small mistakes)
3= Major problem (completed task, but with major problems)
4 = Failure / gave up
Different types of task succes:
a. Binary succes ( 1= succesful, 0= failure)
b. Levels of succes (
c. Task failure
Types of task failure
- Giving up
- Moderator ‘calls’ it
- Too long
- Wrong
What can time on task mean
Short time on task: Not hindered by issues
Long time on task: engagement
Ask how the user perceived the passage of time
When to use ‘error’ metric?
- Significant efficiency loss
- Significant economic loss
- Error would result in task failure
How to fix slips? (Typo, accidental misclick)
- Reduce number of actions required
- Work on error handling and prevention
How to fix mistakes (clicking something unclickable, entering wrong data, performing wrong action)
- Provide better support
- Hints
- Fix User Interface problems
- Fix Usabillity study scenario / tasks
What do we measure with the metric ‘click path’?
- Number of actions needed to complete a task
- First click tests
- ( may be relevant to identify ideal path)
What are the challenges of user testing?
- Walk up and use: natural first interaction, you may - need familliarity or expertise
- Standardized tasks: Assign variance to what we want to test
- Scale of the problem: User contexts differ greatly, need often be practical
- Usability trap: Only creating what a usability test can measure (avoid complexity)
What is log data?
Being able to reconstruct (parts of) the interaction of one particular system (while also being able to generalize and find patterns)
What are advantages of log data?
- Relatively non invasive
- Natural product use
- Suitable for measure over time
- Customizable ‘events’
What are forms of logging?
- Primitive form: Keyboard, mouse logging
- Identifying tasks
- Deriving performance measures
Analytics
- A/B testing
- A + B testing
- Heatmaps and scrollmaps (Hotjar)
- Video recording (Hotjar)
Advantages of analytics compared to Usability
- Generally collected remotely and ansynchronous
- Larger sample size (more anonymous)
- Over time (returning users, learnability, active users, adoption)
- Allows you to discover patterns
- Natural product use