i Some Usability Engineering Methods Randolph Bias Week 7 R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu First . . . • Let’s talk about your projects. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Remember . . . Our approach, within usability engineering of web sites and other user interfaces, is: • Empirical • Iterative • User-Centered Design R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i The Methods of Usability Engineering . . . • Are employed in order to enable you to bring user data (empiricism) to bear on the emerging product design. • You (the usability engineer) become an advocate for the user, in the product development process. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i One big problem • Cost R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Three Methods to address cost • Remote End-user testing (lab testing) • Heuristic Evaluations • Usability Walkthroughs Today let’s talk about WHY and WHEN we employ one method or another, and HOW to carry them out. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i End-user Testing • Also called “lab testing” • Can be done on paper-and-pencil design, prototype, early code, existing product R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i EUT - Benefits • Gather performance and satisfaction data – Performance data: time on task, error rates, # calls to the help desk, # references to the documentation, . . . . – Satisfaction data: End-of-test questionnaire • Can be find-and-fix or benchmarking • Ensure coverage of certain parts of the UI -- good control R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i EUT - Limitations • Artificial situation • Successful test doesn’t “prove” the product works • Need representative users! • Ease of learning vs. ease of use • Hard to test longitudinally R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i EUT -- What to test? • Can rarely cover all the UI. • I like to test: – critical tasks – frequent tasks – nettlesome tasks R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Rubin’s 4 Types • Exploratory (working on the “skeleton”) • Assessment test (working on the “meat and flesh” of the UI) • Validation test (does it meet the objectives?) • Comparison test (compare two competing designs) – Rubin, J. Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests. Wiley: New York, NY, 1994. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Set up • Create environment (ambient setting, HW, SW) • Identify participants • Establish test roles (test monitor/administrator, data logger, timer, video operator, product experts (SMEs), other observers) • Create test plan • Prepare observers • Prepare test materials R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i What materials? • • • • • Instructions NDA Permission to videotape Test scenarios Questionnaire(s) R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Conduct the Test • Welcome the test participant • Communicate that this is not a test of THEM, and they can leave any time • The scenarios should match the real world setting • Ask the test participants to “think aloud” to better understand intent • Offer post-test questionnaire, and debrief R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i After the Test • Quick data to product team • Assign severities and build recommendations • Build archival report • Serve as change agents! R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Ah, but REMOTE • Saves tons of travel money • Allows you to get otherwise hard-to-get test participants. • Allows them to be in their own environments. • Might allow product designers/developers to watch from their own office. • But . . . lose some fidelity of the test environment (video?) • Some added set-up cost (time) R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i What is a Heuristic Evaluation? Evaluators systematically inspect the application interface to check for compliance with recognized usability guidelines (heuristics). (Thus, an INSPECTION method.) - Identifies major and minor usability problems - Conducted by three to five experienced usability engineers (or one!) - Problems are reported along with the heuristic it violates R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Problems Identified The probability of one evaluator finding . . . – A major usability problem - 42% * – A minor usability problem - 32% More evaluators = more problems identified *from www.useit.com R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Strengths of an HE -Done by people experienced in usability not just “dumb” users -Can identify both major and minor usability problems -Can be done relatively quickly and inexpensively -UNlike EUT, can sometimes cover every corner of a UI or web site R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Weaknesses of an HE - If done at end of design, designers may be resistant to changes - Some designers/developers may be unmoved by “just opinions” - Experienced usability evaluators may miss content problems that actual users would find -Can HELP address this issue by using SMEs R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Typical Methodology -Interface is exercised -1st pass to develop the big picture -2nd pass to accomplish typical tasks -Each problem is reported along with the heuristic it violates -Comments are consolidated -Severity levels – Critical, Major, Moderate, Minor R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Heuristics Used - Architecture - Task Design - Navigation and User Control - Consistency and Standards - Information is Meaningful - Flexibility and Efficiency of Use - User Support - Recognition rather than Recall - Aesthetic and Minimalist Design R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Severity Levels Used Critical Usability Issue: - Loss of user data - System shutdown - Abandoned task Major Usability Issue – - Completed task but considerable frustration or extra steps Moderate Usability Issue – - Moderate work around or multiple attempts * Usability Suggestion R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i i Sample Summary of Results TYPE CRITICAL MAJOR MINOR Installation 0 0 3 Project Creation 0 0 5 Visual Layout 0 3 16 Code Editor 0 1 1 Run Project 0 0 1 Debug 0 0 1 Main IDE 0 0 7 Icons 0 0 2 Help 0 0 2 0 4 38 Totals R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu Nielsen’s Usability Heuristics • Visibility of system status – • Match between system and the real world – • The system should always keep users informed about what is going on, through appropriate feedback within reasonable time. The system should speak the users' language, with words, phrases and concepts familiar to the user, rather than system-oriented terms. Follow real-world conventions, making information appear in a natural and logical order. User control and freedom – Users often choose system functions by mistake and will need a clearly marked "emergency exit" to leave the unwanted state without having to go through an extended dialogue. Support undo and redo. • Consistency and standards – • Users should not have to wonder whether different words, situations, or actions mean the same thing. Follow platform conventions. Error prevention – Even better than good error messages is a careful design which prevents a problem from occurring in the first place. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Nielsen’s Heuristics (cont’d.) • Recognition rather than recall – • Flexibility and efficiency of use – • Dialogues should not contain information which is irrelevant or rarely needed. Every extra unit of information in a dialogue competes with the relevant units of information and diminishes their relative visibility. Help users recognize, diagnose, and recover from errors – • Accelerators -- unseen by the novice user -- may often speed up the interaction for the expert user such that the system can cater to both inexperienced and experienced users. Allow users to tailor frequent actions. Aesthetic and minimalist design – • Make objects, actions, and options visible. The user should not have to remember information from one part of the dialogue to another. Instructions for use of the system should be visible or easily retrievable whenever appropriate. Error messages should be expressed in plain language (no codes), precisely indicate the problem, and constructively suggest a solution. Help and documentation – Even though it is better if the system can be used without documentation, it may be necessary to provide help and documentation. Any such information should be easy to search, focused on the user's task, list concrete steps to be carried out, and not be too large. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i How to . . . • http://www.useit.com/papers/heuristic/he uristic_evaluation.html R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Other Heuristics • http://www.stcsig.org/usability/topics/artic les/he-checklist.html R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Welcome . . . • . . . to today’s Usability Walkthrough. • You are here to evaluate the Zara Tours web site. • This is a test of the site, not of you. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Usability Walkthroughs Purpose • To collect user data -- from multiple users at one time -- to help drive the design of a user interface R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Context • This is just one step in a series of “UserCentered Design” methods we’re employing: – Heuristic evaluation (professional judgment) – Usability walkthrough (YOU ARE HERE) – End-user testing in the lab R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Key Characteristics • Three types of people in the room • We’re going to go through some task flows, as a group. • You’ll have hard-copy packets, where you will write the actions you would take, if you were online, carrying out a certain, prescribed task. • No discussion until all have written a response. • We’ll announce the “correct” action (according to the current design). • We’ll discuss the page -- representative users first. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Please note . . . Design is HARD SW development teams budget time to debug the code; we’re debugging the design! R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i This is a test of the DESIGN! • Not a test of YOU. • If you have trouble finding the “right” answers, then WE have a problem with the UI. • The site design team is being very bold, to expose their design to users early like this -- but they’re doing it because they realize the benefit, and they want to get it right! R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i And so . . . • Given the input we hear today, the site design team (assisted by a usability professional) will redesign the interface. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i The Flow of the Day • We’ll hand you a piece of paper with a scenario description on it. • We’ll hand you a packet of screen shots, in order. DO NOT LOOK AHEAD, please. • We’ll ask you to write down on the page what action you’d take, to accomplish the task in the scenario. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i The Flow (cont’d.) • We’ll announce the “right” answer. • I’ll ask you to indicate if you got it right. When you did not, I’ll welcome discussion. • I’ll welcome the designers and developers to jump in, as discussion winds down. • I’ll let SOME redesign go on, real-time. • Write more comments under the screen. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Yet more flow . . . • Then you’ll be asked to turn the page. • Now, you’ll have to “reset,” and assume you got to this new page (somehow). • Then, what action would you take on THIS page, while still trying to accomplish the task? • After a scenario, we’ll give you a questionnaire to complete. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Benefits • Lot of data early in the design cycle. • Usability of individual screens, terminology, SOME task flow. • Collaborative redesign on the fly. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Limitations • Can’t get some data (e.g., time on task). • You can’t browse, as you might online -tendency to “lose your place.” • Feel free to turn BACK in your packet, but not ahead. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Any questions? • We’ll try to finish up by 2:30 or so. • Then have some more informal time to discuss the interface. • We may get more informal at points. • THANK YOU very much for being here. • Absolutely NO ONE should be embarrassed -- not the users, not the developers. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i OK, first task: • Task 1: Find how many days it takes to make the trek up Mt. Kilimanjaro via the Machame Route. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Which, Why, When? Method HE WT EUT Who? Design? When? Usab. Expert Complete Late Hmmm? Full task Mid Hmmm? ComponentMid R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i Next Week • Meet at BMC Software (map to follow, online). • Turn in test plan the week after Spring Break. R. G. Bias | School of Information | SZB 562B | Phone: 512 471 7046 | rbias@ischool.utexas.edu i