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With this practical guide, readers will master an iterative process for identifying and refining user data needs and reflecting those requirements in data projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats.
In this volume, the authors begin by defining usability, advocating and explaining the methods of usability engineering and reviewing many techniques for assessing and assuring usability throughout the development process. They then follow all the steps in planning and conducting a usability test, analyzing data, and using the results to improve both products and processes. This book is simply written and filled with examples from many types of products and tests. It discusses the full range of testing options from quick studies with a few subjects to more formal tests with carefully designed controls. The authors discuss the place of usability laboratories in testing as well as the skills needed to conduct a test. Included are forms to use or modify to conduct a usability test, as well as layouts of existing labs that will help the reader build his or her own.
Measuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent technologies have made it easier and more effective to collect a broader range of data about the user experience. As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel. - Learn which metrics to select for every case, including behavioral, physiological, emotional, aesthetic, gestural, verbal, and physical, as well as more specialized metrics such as eye-tracking and clickstream data - Find a vendor-neutral examination of how to measure the user experience with web sites, digital products, and virtually any other type of product or system - Discover in-depth global case studies showing how organizations have successfully used metrics and the information they revealed - Companion site, www.measuringux.com, includes articles, tools, spreadsheets, presentations, and other resources to help you effectively measure the user experience
Usability testing and user experience research typically take place in a controlled lab with small groups. While this type of testing is essential to user experience design, more companies are also looking to test large sample sizes to be able compare data according to specific user populations and see how their experiences differ across user groups. But few usability professionals have experience in setting up these studies, analyzing the data, and presenting it in effective ways. Online usability testing offers the solution by allowing testers to elicit feedback simultaneously from 1,000s of users. Beyond the Usability Lab offers tried and tested methodologies for conducting online usability studies. It gives practitioners the guidance they need to collect a wealth of data through cost-effective, efficient, and reliable practices. The reader will develop a solid understanding of the capabilities of online usability testing, when it's appropriate to use and not use, and will learn about the various types of online usability testing techniques. - The first guide for conducting large-scale user experience research using the internet - Presents how-to conduct online tests with 1000s of participants – from start to finish - Outlines essential tips for online studies to ensure cost-efficient and reliable results
Human factors and usability issues have traditionally played a limited role in security research and secure systems development. Security experts have largely ignored usability issues--both because they often failed to recognize the importance of human factors and because they lacked the expertise to address them. But there is a growing recognition that today's security problems can be solved only by addressing issues of usability and human factors. Increasingly, well-publicized security breaches are attributed to human errors that might have been prevented through more usable software. Indeed, the world's future cyber-security depends upon the deployment of security technology that can be broadly used by untrained computer users. Still, many people believe there is an inherent tradeoff between computer security and usability. It's true that a computer without passwords is usable, but not very secure. A computer that makes you authenticate every five minutes with a password and a fresh drop of blood might be very secure, but nobody would use it. Clearly, people need computers, and if they can't use one that's secure, they'll use one that isn't. Unfortunately, unsecured systems aren't usable for long, either. They get hacked, compromised, and otherwise rendered useless. There is increasing agreement that we need to design secure systems that people can actually use, but less agreement about how to reach this goal. Security & Usability is the first book-length work describing the current state of the art in this emerging field. Edited by security experts Dr. Lorrie Faith Cranor and Dr. Simson Garfinkel, and authored by cutting-edge security and human-computerinteraction (HCI) researchers world-wide, this volume is expected to become both a classic reference and an inspiration for future research. Security & Usability groups 34 essays into six parts: Realigning Usability and Security---with careful attention to user-centered design principles, security and usability can be synergistic. Authentication Mechanisms-- techniques for identifying and authenticating computer users. Secure Systems--how system software can deliver or destroy a secure user experience. Privacy and Anonymity Systems--methods for allowing people to control the release of personal information. Commercializing Usability: The Vendor Perspective--specific experiences of security and software vendors (e.g.,IBM, Microsoft, Lotus, Firefox, and Zone Labs) in addressing usability. The Classics--groundbreaking papers that sparked the field of security and usability. This book is expected to start an avalanche of discussion, new ideas, and further advances in this important field.
Computers used to be for geeks. And geeks were fine with dealing with a difficult and finicky interface--they liked this--it was even a sort of badge of honor (e.g. the Unix geeks). But making the interface really intuitive and useful--think about the first Macintosh computers--took computers far far beyond the geek crowd. The Mac made HCI (human c
Based on data collected from research conducted at UIE (User Interface Engineering), this book describes how well or poorly some information-rich Web sites performed when real users attempted to find specific answers.
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
In 2000, Jakob Nielsen, the world’s leading expert on Web usability, published a book that changed how people think about the Web— Designing Web Usability (New Riders). Many applauded. A few jeered. But everyone listened. The best-selling usability guru is back and has revisited his classic guide, joined forces with Web usability consultant Hoa Loranger, and created an updated companion book that covers the essential changes to the Web and usability today. Prioritizing Web Usability is the guide for anyone who wants to take their Web site(s) to next level and make usability a priority! Through the authors’ wisdom, experience, and hundreds of real-world user tests and contemporary Web site critiques, you’ll learn about site design, user experience and usability testing, navigation and search capabilities, old guidelines and prioritizing usability issues, page design and layout, content design, and more!
Written by the author of the best-selling HyperText & HyperMedia, this book is an excellent guide to the methods of usability engineering. The book provides the tools needed to avoid usability surprises and improve product quality. Step-by-step information on which method to use at various stages during the development lifecycle are included, along with detailed information on how to run a usability test and the unique issues relating to international usability.* Emphasizes cost-effective methods that developers can implement immediately* Instructs readers about which methods to use when, throughout the development lifecycle, which ultimately helps in cost-benefit analysis. * Shows readers how to avoid the four most frequently listed reasons for delay in software projects.* Includes detailed information on how to run a usability test.* Covers unique issues of international usability.* Features an extensive bibliography allowing readers to find additional information.* Written by an internationally renowned expert in the field and the author of the best-selling HyperText & HyperMedia.