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CS305: HCI in SW Development Evaluation (Return to…)

CS305: HCI in SW Development Evaluation (Return to…). We’ve had an introduction to evaluation. Now for more details on…. Topics to Cover. Types of evaluation paradigm, categories of techniques, specific techniques How to design an evaluation ID-book’s DECIDE framework

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CS305: HCI in SW Development Evaluation (Return to…)

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  1. CS305: HCI in SW DevelopmentEvaluation (Return to…) We’ve had an introduction to evaluation. Now for more details on…

  2. Topics to Cover • Types of evaluation • paradigm, categories of techniques, specific techniques • How to design an evaluation • ID-book’s DECIDE framework • Using experts for inspections and walkthroughs

  3. Reminder: Formative vs. Summative Eval. • Summative • After the something is complete • Does it “meet spec”? • Formative • As something is being developed • Begin as early as possible • For the purpose of affecting the process, the item being developed

  4. High-level Categories of Techniques • observing users, • asking users for their opinions, • asking experts for their opinions, • testing users’ performance • modeling users’ task performance

  5. Evaluation paradigm • Any kind of evaluation is guided explicitly or implicitly by a set of beliefs, which are often under-pinned by theory. These beliefs and the methods associated with them are known as an ‘evaluationparadigm’

  6. Four evaluation paradigms • ‘quick and dirty’ • usability testing • field studies • predictive evaluation

  7. Quick and dirty • ‘quick & dirty’ evaluation describes the common practice in which designers informally get feedback from users or consultants to confirm that their ideas are in-line with users’ needs and are liked. • Quick & dirty evaluations are done any time. • The emphasis is on fast input to the design process rather than carefully documented findings.

  8. Quick and Dirty cont’d • Applies to various other approaches. E.g., could either be: • small number of experts (i.e. predictive evaluation) • small number of subjects (i.e. usability testing) • How many subjects? Not as many as you think! • See Nielsen’s data on why 5 users is probably enough:http://www.useit.com/alertbox/20000319.html • 15 users to find 100% of problems. 5 users find 85%. • Better three studies with 5 users than one with 15?

  9. Usability testing • Usability testing involves recording typical users’ performance on typical tasks in controlled settings. Field observations may also be used. • As the users perform these tasks they are watched & recorded on video & their key presses are logged. • This data is used to calculate performance times, identify errors & help explain why the users did what they did. • User satisfaction questionnaires & interviews are used to elicit users’ opinions.

  10. Usability Engineering • Term coined by staff at Digital Equipment Corp. around 1986 • Concerned with: • Techniques for planning, achieving and verifying objectives for system usability • Measurable goals must be defined early • Goals must be assessed repeatedly • Note verification above • Definition by Christine Faulkner (2000): • “UE is an approach to the development of software and systems which involves user participation from the outset and guarantees the usefulness of the product through the use of a usability specification and metrics.”

  11. Field studies • Field studies are done in natural settings • The aim is to understand what users do naturally and how technology impacts them. • In product design field studies can be used to:- identify opportunities for new technology- determine design requirements - decide how best to introduce new technology- evaluate technology in use.

  12. Predictive evaluation • Experts apply their knowledge of typical users, often guided by heuristics, to predict usability problems. • Heuristic evaluation • Walkthroughs • Another approach involves theoretically based models. • Predicting time, errors: • GOMS and Fitts’ Law formula • A key feature of predictive evaluation is that users need not be present • Relatively quick & inexpensive

  13. How to Plan an Evaluation? • ID-book’s DECIDE framework • captures many important practical issues • works with all categories of study

  14. DECIDE: A framework to guide evaluation • Determine the goals the evaluation addresses. • Explore the specific questions to be answered. • Choose the evaluationparadigm and techniques to answer the questions. • Identify the practical issues. • Decide how to deal with the ethical issues. • Evaluate, interpret and present the data.

  15. Determine the goals • What are the high-level goals of the evaluation? • Who wants it and why?The goals influence the paradigm for the study • Some examples of goals: • Identify the best metaphor on which to base the design. • Check to ensure that the final interface is consistent. • Investigate how technology affects working practices. • Improve the usability of an existing product .

  16. Explore the questions • All evaluations need goals & questions to guide them so time is not wasted on ill-defined studies. • For example, the goal of finding out why many customers prefer to purchase paper airline tickets rather than e-tickets can be broken down into sub-questions:- What are customers’ attitudes to these new tickets?- Are they concerned about security?- Is the interface for obtaining them poor? • What questions might you ask about the design of a cell phone?

  17. Choose the evaluation paradigm & techniques • The evaluation paradigm strongly influences the techniques used, how data is analyzed and presented. • E.g. field studies do not involve testing or modeling

  18. Identify practical issues For example, how to: • select users • stay on budget • staying on schedule • find evaluators • select equipment

  19. Decide on ethical issues • Develop an informed consent form • See example(s) in text, Web site, etc. • Participants have a right to:- know the goals of the study- what will happen to the findings- privacy of personal information- not to be quoted without their agreement - leave when they wish - be treated politely • “Informed consent” agreement

  20. Evaluate, interpret & presentdata • How data is analyzed & presented depends on the paradigm and techniques used. • The following also need to be considered:- Reliability: can the study be replicated?- Validity: is it measuring what you thought?- Biases: is the process creating biases?- Scope: can the findings be generalized?- Ecological validity: is the environment of the study influencing it - e.g. Hawthorn effect

  21. Pilot studies • A small trial run of the main study. • The aim is to make sure your plan is viable. • Pilot studies check:- that you can conduct the procedure- that interview scripts, questionnaires, experiments, etc. work appropriately • It’s worth doing several to iron out problems before doing the main study. • Ask colleagues if you can’t spare real users.

  22. Key points • An evaluation paradigm is an approach that is influenced by particular theories and philosophies. • Five categories of techniques were identified: observing users, asking users, asking experts, user testing, modeling users. • The DECIDE framework has six parts: - Determine the overall goals - Explore the questions that satisfy the goals - Choose the paradigm and techniques - Identify the practical issues - Decide on the ethical issues - Evaluate ways to analyze & present data • Do a pilot study

  23. Applying this… • In class we looked at the method described in the article “Prototyping for Tiny Fingers” • We examined it as follows: • Use the DECIDE framework to analyze it. • Which paradigms are involved? • Does the study report address each aspect of DECIDE?

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