Download E-books Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics (Interactive Technologies) PDF

By Thomas Tullis, William Albert

Successfully measuring the usability of any product calls for selecting the best metric, using it, and successfully utilizing the knowledge it finds. Measuring the consumer adventure offers the 1st unmarried resource of sensible details to permit usability execs and product builders to do exactly that. Authors Tullis and Albert manage dozens of metrics into six different types: functionality, issues-based, self-reported, net navigation, derived, and behavioral/physiological. They discover each one metric, contemplating most sensible tools for accumulating, studying, and featuring the knowledge. they supply step by step information for measuring the usability of any kind of product utilizing any kind of expertise.

• offers standards for choosing the main acceptable metric for each case
• Takes a product and expertise impartial strategy
• offers in-depth case reports to teach how firms have effectively used the metrics and the knowledge they printed

Show description

Read Online or Download Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics (Interactive Technologies) PDF

Similar Computer Science books

Programming Massively Parallel Processors: A Hands-on Approach (Applications of GPU Computing Series)

Programming hugely Parallel Processors discusses simple options approximately parallel programming and GPU structure. ""Massively parallel"" refers back to the use of a giant variety of processors to accomplish a collection of computations in a coordinated parallel manner. The ebook information a variety of strategies for developing parallel courses.

Programming Language Pragmatics, Fourth Edition

Programming Language Pragmatics, Fourth version, is the main finished programming language textbook on hand this present day. it truly is distinct and acclaimed for its built-in remedy of language layout and implementation, with an emphasis at the primary tradeoffs that proceed to force software program improvement.

Human-Computer Interaction (3rd Edition)

The second one version of Human-Computer interplay proven itself as one of many vintage textbooks within the sector, with its vast insurance and rigorous strategy, this new version builds at the present strengths of the ebook, yet giving the textual content a extra student-friendly slant and bettering the assurance in yes components.

An Introduction to Genetic Algorithms (Complex Adaptive Systems)

Genetic algorithms were utilized in technological know-how and engineering as adaptive algorithms for fixing functional difficulties and as computational versions of common evolutionary platforms. This short, available creation describes the most fascinating learn within the box and in addition allows readers to enforce and scan with genetic algorithms on their lonesome.

Additional resources for Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics (Interactive Technologies)

Show sample text content

2. four  Issues to think about whilst utilizing Time information four. three  Errors four. three. 1  When to degree blunders four. three. 2  What Constitutes an mistakes? four. three. three  Collecting and Measuring mistakes four. three. four  Analyzing and providing mistakes four. three. five  Issues to think about whilst utilizing errors Metrics four. four  Efficiency four. four. 1  Collecting and Measuring potency four. four. 2  Analyzing and providing potency info four. four. three  Efficiency as a mix of activity good fortune and Time four. five  Learnability four. five. 1  Collecting and Measuring Learnability info four. five. 2  Analyzing and proposing Learnability info four. five. three  Issues to contemplate while Measuring Learnability four. 6  Summary CHAPTER 5 Issue-Based Metrics five. 1  What Is a Usability factor? five. 1. 1  Real concerns as opposed to fake matters five. 2  How to spot a topic five. 2. 1  In-Person stories five. 2. 2  Automated reviews five. three  Severity scores five. three. 1  Severity rankings in accordance with the person adventure five. three. 2  Severity rankings according to a mixture of things five. three. three  Using a Severity ranking method five. three. four  Some Caveats approximately score platforms five. four  Analyzing and Reporting Metrics for Usability matters five. four. 1  Frequency of certain concerns five. four. 2  Frequency of matters according to player five. four. three  Frequency of members five. four. four  Issues through type five. four. five  Issues by way of job five. five  Consistency in opting for Usability matters five. 6  Bias in settling on Usability concerns five. 7  Number of individuals five. 7. 1  Five contributors Is adequate five. 7. 2  Five contributors isn't adequate five. 7. three  Our suggestion five. eight  Summary seventy three seventy four seventy five seventy five seventy eight eighty one eighty two eighty two eighty three eighty four eighty four 86 86 87 88 ninety ninety two ninety four ninety four ninety six ninety six ninety nine a hundred a hundred and one 102 102 103 103 104 a hundred and five 106 107 107 108 109 109 a hundred and ten 111 111 113 a hundred and fifteen one hundred fifteen 117 118 119 ix x Contents CHAPTER 6 CHAPTER 7 Self-Reported Metrics 6. 1  Importance of Self-Reported facts 6. 2  Rating Scales 6. 2. 1  Likert Scales 6. 2. 2  Semantic Differential Scales 6. 2. three  When to gather Self-Reported information 6. 2. four  How to gather scores 6. 2. five  Biases in accumulating Self-Reported information 6. 2. 6  General instructions for score Scales 6. 2. 7  Analyzing Rating-Scale information 6. three  Post-Task scores 6. three. 1  Ease of Use 6. three. 2  After-Scenario Questionnaire (ASQ) 6. three. three  Expectation degree 6. three. four  A comparability of Post-task Self-Reported Metrics 6. four  Postsession scores 6. four. 1  Aggregating person job scores 6. four. 2  System Usability Scale 6. four. three  Computer approach Usability Questionnaire 6. four. four  Questionnaire for consumer Interface pride 6. four. five  Usefulness, pride, and Ease-of-Use Questionnaire 6. four. 6  Product response playing cards 6. four. 7  A comparability of Postsession Self-Reported Metrics 6. four. eight  Net Promoter rating 6. five  Using SUS to match Designs 6. 6  Online prone 6. 6. 1  Website research and dimension stock 6. 6. 2  American shopper delight Index 6. 6. three  OpinionLab 6. 6. four  Issues with Live-Site Surveys 6. 7  Other different types of Self-Reported Metrics 6. 7. 1  Assessing particular Attributes 6.

Rated 5.00 of 5 – based on 7 votes