INFO3315Human-Computer Interaction

    07-02 · Week 7

    Planning an evaluation: why, what, where, when

    The reasons to evaluate, what is evaluated, lab versus naturalistic settings, when to evaluate, and the seven main steps.

    • Give four reasons to evaluate and three things that can be evaluated.
    • Compare usability lab and naturalistic settings with benefits and problems.
    • State when to evaluate across the lifecycle.
    • Order the seven main steps of an evaluation.

    13 min readJump to the quiz ↓

    Intuition

    Evaluation is not one event at the end. It is a set of decisions about what you are checking, with whom, where, and at which point in the design.

    Evaluate to judge features, effects, surprises and competitors

    The lecture gives four reasons. Judge system features and functionality: does it facilitate users’ tasks, match requirements and offer the right features? Judge effects on users: how easy it is to learn and use, how users feel. Discover unforeseen problems: unexpected or confusing situations. Compare your solution against competitors, which matters to marketing and sales.

    You can evaluate the conceptual model, early and subsequent prototypes of a new system, and the final product. Evaluating an early design uses lo-fi prototypes to find and fix issues in advance. Evaluating usability applies to a product that is close to final and feature rich and gives comparative results (for example, X is a percent faster than Y). Evaluating for user groups checks how a product works for new markets, such as an Australian product moving to the African continent.

    Lab and field trade control for realism

    Where you evaluate: usability lab, research lab, naturalistic settings or remote study. A usability lab is a testing room built for usability testing, instrumented with cameras, microphones and data recording, with a separate observation room joined by a one-way mirror.

    Compare

    Usability lab

    Benefits: controlled; ideal for one precise aspect; plenty of audio, video and logging equipment; the only option if the real location is dangerous or remote. Problems: does not represent a natural situation; hard to generalise.

    Naturalistic setting

    Benefits: more realistic (external effects); natural situations and behaviour; better for long-term studies; well suited to user experience studies. Problems: hard to arrange and run; time consuming; task and environment hard to control.

    Evaluation runs through the lifecycle and follows seven steps

    When to evaluate: during iterative design (does the design match requirements, what are the problems), before deployment for acceptance testing (does the system meet expected performance), and continuously after deployment, called “permanent beta” (in the wild, bug reports, field studies).

    Use a combination of methods. Controlled methods test hypotheses about specific features. Uncontrolled methods give insight into experience in daily life. A cognitive walkthrough can test-run a prototype before the actual lab usability test.

    Exam detail

    Seven main steps: (1) establish aims; (2) select methods, ideally a mix of participant (with users) and non-participant (without users); (3) carry out non-participant methods first; (4) use their results to plan participant testing; (5) plan the session, recruit participants, set up equipment; (6) carry out the evaluation; (7) analyse results, document and report.

    Recall

    Why are non-participant methods run before participant methods?

    Their results feed the plan for participant testing (step 4), so problems found cheaply without users are fixed before users’ time is used.

    Check yourself

    Select all that apply