Block 4 Review Questions Flashcards
Why would you want to observe users later on in the interaction design lifecycle?
Early in design, observation helps designers to understand users’ needs. Later in design, observation is used to assess whether the prototype of the product meets users’ needs. Observing users is useful at any time during product development.
Describe three types of observation. Why and when might each be used for evaluating an interactive product?
- direct observation in the field would be most appropriate to evaluate a highfidelity prototype or an existing product that could be used in the target context.
- direct observation in a controlled environment would be most appropriate to study specific aspects of a product.
- indirect observation most appropriate to evaluate a high-fidelity prototype or an existing product.
What does it mean to use the think-aloud technique for gathering data?
The think-aloud technique involves the participant saying out loud everything they are thinking and trying to do while using a product.
What is a performance measure? What types of user performance measures are taken during a user test?
A performance measure is a quantitative measure related to the use of an interactive product. The following are example performance measures taken during a user test: the time taken to complete a typical task or tasks, the number of errors made while performing a task and the number of steps taken to complete a task
Which data-gathering techniques are most commonly used in usability testing?
Direct observation, questionnaires, interviews and indirect observation through keystroke logging are the data-gathering techniques most often used in usability testing.
Why are scripts useful for usability testing?
Scripts prepared in advance of a usability evaluation – and used for each participant – ensure that all participants are given the same information and are treated in the same way for the evaluation. This also ensures that it is possible to compare the results from participants. This was discussed in Section 14.2.2 of the Set Book, in the context of the MedlinePlus case study.
Why is it important to select a representative sample of users whenever possible?
It is important to have a representative sample to ensure that the findings of the user test can be generalised to the rest of the user population. Selecting participants according to clear objectives helps evaluators to
avoid unwanted bias. For example, if 90% of the participants testing a product for 9–12 year-olds were 12, it would not be representative of the full age range. The results of the test would be distorted by the large group of users at the top end of the age range
Suggest the kind of information that you would expect to include in a ‘welcome’ script for a user testing session. You might like to review Figure 14.9 on page 654 of the Set Book to help you answer this
Your welcome script would include:
the goal of the study and how the results will be used;
an outline of what the participant will be expected to do (but not in detail as this will come later);
the data recording that will be used, including video cameras, keystroke logging, etc.;
an introduction to the environment including the presence of recording equipment and one-way mirrors;
and a pointer to the informed consent form.
Describe the differences between experiments and usability testing as discussed by Ben Shneiderman in his interview..
Experiments
- Experiments test a hypothesis that has practical implications and theoretical results.
- The results are of broad importance.
- At least two conditions are tested.
- Statistical tests are applied to the results to verify statistically significant differences.
- The results confirm or refute the hypothesis being tested.
- The experimental procedure is carefully described so that others can replicate it.
Usability test studies
- Usability test studies involve only small numbers of users who carry out required tasks.
- Statistical analysis of the results is less important.
- The goal is to refine a product as quickly as possible.
- The outcome is a report to developers which identifies frequent problems and possibly suggests improvements.
What is the main purpose for conducting a field study evaluation?
Field studies are useful when you want to discover how products and prototypes will be used within their intended social and physical context of use.
What evaluation methods are used in a field study evaluation?
Field study evaluations involve observing users and asking users (see Table 12.2 on page 596 of the Set Book).
One of the example field studies provided in Chapter 12 of the Set Book is HutchWorld (Section 12.4.4, starting on page 605). For this case study, outline when and how field studies were used and what results were obtained.
Developers started by interviewing potential users and then observing their daily activity in the clinic and the hospital (page 606). After developing a prototype design they conducted further observations and focused on how and when patients used the system, how they interacted with it and what problems they faced (page 607). From these observations the evaluators realised that the user community was small so there were never enough people in the chat room for successful communication, and that many patients preferred asynchronous communication.
What are the three steps in data analysis for evaluation? (These were introduced in Section 3.1.5 of Unit 1 of this block.)
The three steps in data analysis for evaluation are:.
• collating the data
• summarising the data
• reviewing the data.
Briefly define quantitative data and qualitative data
Quantitative data is in the form of numbers, or can easily and meaningfully be translated into numbers. Qualitative data is difficult to measure, count or express in numerical terms.
In what way(s) can question design in a questionnaire affect data analysis?
Open-ended questions are likely to produce a wide range of answers that will need to be analysed qualitatively. Closed questions which offer respondents a finite set of possible answers can be analysed qualitatively or quantitatively.