Title: User testing: Hard performance measures in usability evaluation
1User testingHard performance measures in
usability evaluation
Christof van Nimwegen
2Week 19
- Maandag (College)
- Algemeen - Wat is een experiment?
- - Wat kunnen we meten
- - Methoden
- - Issues
- Dinsdag (College )
- 1. Als introductie op assignment 1 behandeling
paradox of the active user guidance can be
counterproductive - 2. Instructies/uitleg assignment
3Week 20
- Maandag (werkgroep in lab)
- 13-15 Werkgroep in Usability lab (CGN, C201)
- Groep 1 1300
- Groep 2 1330
- Groep 3 1400
- Groep 4 1430
- Dinsdag (practicum in lab t/m Donderdag max)
- - op een tijd die jullie past, in groepjes van 2
experiment uitvoeren met zelf-geregelde
proefpersonen
4Dus.nu mee beginnen!
- Groep 2 6 proefpersonen
- Groep 3 4 proefpersonen
- Groep 4 6 proefpersonen
- Totaal 14 pp, medestudenten, of wie dan ook
aanwezig op de - uithof, niet elkaar uiteraard ?. Schedulen met
mij, - christof_at_cs.uu.nl of 06-41472701
- Lab-ruimte Di 1530
- Wo 9-18?
- Do 9-18?
- Vr indien nodig.
5Hard performance measures the experiment
Empirical research is research that bases its
findings on direct or indirect observation as its
test of reality It generally involves the
collection of a large amount of data on which to
base a theory or derive a conclusion in science
6What is an experiment
- a series of actions carried out to test a theory,
demonstrate a fact or find out what happens -
- the act of conducting a controlled test or
investigation - something one does deliberately to see what
happens - direct observation under controlled conditions.
Most experiments involve carefully changing one
variable and observing the effect on another
variable (for example, changing temperature of a
water sample and recording the change volume that
results).
7No experiment
8Scientific experiment in a nutshell
- Demand from academic/industrial field (theory)
- Hypotheses/questions
- Define design, method procedure
- Do experiment
- Process results
- Analyze data
- Conclusions
- What to do now?
9User testing (experiment) in UE
- is a central aspect of interaction design
- it often attempts to quantify "ease of use" and
"user friendliness" - not only on computers/web
- usually involves a controlled experiment to
determine how well people can use the product - can be done in different phases of product design
- is in practice often a combination of various
techniques (quantitative qualitative data) - Performance measurements
- Think aloud techniques
- Questionnaires
- .
10User Testing
- Bestaat al heel lang..
- Niet alleen pure usability in de zin van
gebruiksvriendelijkheid - Voorbeelden
- - Bell
- - Xerox
- - Defensie
11Usability evaluation by means of user testing
- Applied form of experiment
- Has a clearly defined purpose as opposed to
fundamental research - Should include statistical handling
- Subjects (amounts are important) as opposed to
discount usability studies - If you really want to know!(dont just ask, do
it!)
12Bekend voorbeeld UE with user testing
13En deze.?
14User Testing
- Global idea
- Users interact with a product/material to
discover usability problems - Many variations possible
- Number of users at the same time
- Interact with mock-up or final system
- Combinations with other methods
- Aim controlled studies (hypothesis testing)
- Example
- Comparison of two different sets of icons to be
used at airports
15Planning a usability test
- Define usability goals
- Define user profile, and participants
- Selecting and presentation of tasks
- How to measure usability
- Preparing test materials
- Conducting a pilot test
- ..
-
16Making choices
- You can hardly test everything!
- More data does not mean better results
- Define/select/prepare material
- Select the tasks/function set
- Select the users
- Select the usability focus
- Arrange paerticipants
- Define amount of training and preparation for
participants
17A Usability lab
18User Testing in a Lab Issues (just a few)
- Control
- Cost
- Naturalness (environment, setting)
- Registration (logging)
- Test-behavior (tendencies)
- Fear (they will look in my head)
- Participants (selection)
- Ethical issues
- The role of the experimenter
- everything!!
19(No Transcript)
20Japan
21Material
- Paper prototypes
- Mockups
- Beta releases
- End product
- Wizard of Oz
- ..
22Wizard of Oz?
- Enables unimplemented technology to be evaluated
by using a human to simulate - the response of a system. It can be used to test
device concepts and techniques and - suggested functionality before implementation
- Method
- The "wizard" observes the user's actions, and
simulates the system's responses in - real-time. Often users are unaware that the
system was not real.
23What do we have..
- variable -- (something that is likely to vary
something that is subject to variation "the
weather is one variable to be considered") -
- Variables can be..
- Dependent Daar waarop gescoord wordt
(hoeveel peren kan men eten?) - Independent Wat we zelf aangebracht
hebben (mannen en vrouwen) - Between subjects (appels vs peren)
- Within subjects (het effect van elk uur een peer)
24What can we measure?
- Attitudes
- Opinions
- Physiological measurements
- Performance
- Time
- Correctness
- Speed
- Paths
- Recognition/Memory
- Efficiency
- ..
25Keystroke level model (KLM)
- Low level tasks
- KLM does not focus on highly cognitive tasks
- Provides rapid estimates of performance without
any theoretical knowledge - K keystroking, actually hitting keys on the
keyboard - B pressing a mouse button
- P pointing, moving the mouse or other device to a
target - H homing, switching the hand from the mouse to
the keyboard or vice versa - D drawing lines using the mouse
- M mentally preparing for a physical action
- R system response, this may be ignored if the
user does not have to wait for it
26Measures Registration
- Data-Logging by software
- Watch videos score (Observer)
- Live scoring by experimenter (field)
- Physiological measures
- ..
27Logging by software
28Watch videos score (Observer)
29Live scoring
30Physiological measures
31On our wish list ? Eye tracking
32Activity chart
- You will use this in the lab experiment
- Group 2-3-4 will use the log-data
- Group 1 explores the activity charts
33Data processing
- Checkcheckcheckdouble check!
- Filling up the holes!
- Remove outlierstricky business ?
- Normally divided (or approximation)
- Transformations necessary?
- Choose methodology (whats legal)
- ..
- And of course, be honest and accurate
34Van ruwe data bv. TXT.
35Naar iets minder ruw bv. Excel
36Naar uiteindelijke data bv. SPSS
37What do my results mean?
Interaction Effect
Stuks fruit gegeten
KM per uur
Vraag Wie kan meer eten? Mannen kunnen meer
appels eten, vrouwen kunnen meer peren eten
Vraag wie rent harder? Paarden kunnen harder
rennen dan koeien
38Rapportage
- Hoofdeffect
- Interactie effect
- Tendens
- Hierbij
- Vermeld a
- Vermeld significantie waarde
- Vermeld gemiddelden
- Vermeld standaardafwijkingen