{"product_id":"research-methods-in-human-computer-interaction-isbn-9780470723371","title":"Research Methods in Human-Computer Interaction","description":"Continual technological evolution has led to an explosion of new techniques in Human-Computer Interaction (HCI) research. \u003ci\u003eResearch Methods in Human-Computer Interaction\u003c\/i\u003e is a thoroughly comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, time diaries, physiological measurements, case studies, and other essential elements in the well-informed HCI researcher's toolkit.  \u003cp\u003e“This book is a must read for anyone in the field of Human-Computer Interaction. The multi-disciplinarian approach, housed in the reality of the technological world today, makes for a practical and informative guide for user interface designers, software and hardware engineers and anyone doing user research.”\u003cbr\u003e \u003cb\u003eDr. Mary Czerwinski, Research Area Manager, Microsoft Research, USA\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e“Research Methods in HCI is an excellent read for practitioners and students alike. It discusses all the must-know theory, provides detailed instructions on how to carry out the research, and offers great examples. I loved it!”\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProfessor Vanessa Evers,\u003c\/b\u003e \u003cb\u003eProfessor, Human Computer Studies Lab, University of Amsterdam, the Netherlands\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"The book is superb: comprehensive, clear, and engaging! This is a one-stop HCI methods reference library. If you can only buy one HCI methods book, this is the one!\"\u003cbr\u003e \u003cb\u003eDr. Clare-Marie Karat, IBM TJ Watson Research, USA, and recipient of the 2009 ACM SIGCHI Lifetime Service Award\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e“A much needed and very useful book, covering important HCI research methods overlooked in standard research methods texts.”\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProfessor Gilbert Cockton, School of Design, Northumbria University, United Kingdom\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbout the Authors xvii\u003c\/p\u003e \u003cp\u003eAcknowledgments xviii\u003c\/p\u003e \u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Changes in topics of HCI research over time 3\u003c\/p\u003e \u003cp\u003e1.2 Shifts in measurement in HCI 5\u003c\/p\u003e \u003cp\u003e1.3 Inherent conflicts in HCI 9\u003c\/p\u003e \u003cp\u003e1.4 Interdisciplinary nature of HCI research 11\u003c\/p\u003e \u003cp\u003e1.5 Communicating your ideas 13\u003c\/p\u003e \u003cp\u003e1.6 Research and usability testing 14\u003c\/p\u003e \u003cp\u003eSummary of Chapters 14\u003c\/p\u003e \u003cp\u003eDiscussion Questions 15\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 16\u003c\/p\u003e \u003cp\u003eReferences 16\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Experimental Research 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Types of behavioral research 20\u003c\/p\u003e \u003cp\u003e2.2 Research hypotheses 22\u003c\/p\u003e \u003cp\u003e2.2.1 Null hypothesis and alternative hypothesis 23\u003c\/p\u003e \u003cp\u003e2.2.2 Dependent and independent variables 25\u003c\/p\u003e \u003cp\u003e2.2.3 Typical independent variables in HCI research 25\u003c\/p\u003e \u003cp\u003e2.2.4 Typical dependent variables in HCI research 26\u003c\/p\u003e \u003cp\u003e2.3 Basics of experimental research 27\u003c\/p\u003e \u003cp\u003e2.3.1 Components of an experiment 27\u003c\/p\u003e \u003cp\u003e2.3.2 Randomization 28\u003c\/p\u003e \u003cp\u003e2.4 Significance tests 30\u003c\/p\u003e \u003cp\u003e2.4.1 Why do we need them? 30\u003c\/p\u003e \u003cp\u003e2.4.2 Type I and Type II errors 32\u003c\/p\u003e \u003cp\u003e2.4.3 Controlling the risks of Type I and Type II errors 34\u003c\/p\u003e \u003cp\u003e2.5 Limitations of experimental research 34\u003c\/p\u003e \u003cp\u003eSummary 36\u003c\/p\u003e \u003cp\u003eDiscussion Questions 37\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 38\u003c\/p\u003e \u003cp\u003eReferences 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Experimental Design 41\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 What needs to be considered when designing experiments? 43\u003c\/p\u003e \u003cp\u003e3.2 Determining the basic design structure 44\u003c\/p\u003e \u003cp\u003e3.3 Investigating a single independent variable 45\u003c\/p\u003e \u003cp\u003e3.3.1 Between-group design and within-group design 46\u003c\/p\u003e \u003cp\u003e3.3.2 Choosing the appropriate design approach 49\u003c\/p\u003e \u003cp\u003e3.4 Investigating more than one independent variable 53\u003c\/p\u003e \u003cp\u003e3.4.1 Factorial design 53\u003c\/p\u003e \u003cp\u003e3.4.2 Split-plot design 54\u003c\/p\u003e \u003cp\u003e3.4.3 Interaction effects 55\u003c\/p\u003e \u003cp\u003e3.5 Reliability of experimental results 57\u003c\/p\u003e \u003cp\u003e3.5.1 Random errors 57\u003c\/p\u003e \u003cp\u003e3.5.2 Systematic errors 57\u003c\/p\u003e \u003cp\u003e3.6 Experimental procedures 63\u003c\/p\u003e \u003cp\u003eSummary 64\u003c\/p\u003e \u003cp\u003eDiscussion Questions 65\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 65\u003c\/p\u003e \u003cp\u003eReferences 66\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Statistical Analysis 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Preparing data for statistical analysis 70\u003c\/p\u003e \u003cp\u003e4.1.1 Cleaning up data 70\u003c\/p\u003e \u003cp\u003e4.1.2 Coding data 71\u003c\/p\u003e \u003cp\u003e4.1.3 Organizing data 73\u003c\/p\u003e \u003cp\u003e4.2 Descriptive statistics 73\u003c\/p\u003e \u003cp\u003e4.2.1 Measures of central tendency 73\u003c\/p\u003e \u003cp\u003e4.2.2 Measures of spread 74\u003c\/p\u003e \u003cp\u003e4.3 Comparing means 74\u003c\/p\u003e \u003cp\u003e4.4 T tests 76\u003c\/p\u003e \u003cp\u003e4.4.1 Independent-samples t test 76\u003c\/p\u003e \u003cp\u003e4.4.2 Paired-samples t test 76\u003c\/p\u003e \u003cp\u003e4.4.3 Interpretation of t test results 77\u003c\/p\u003e \u003cp\u003e4.4.4 Two-tailed t tests and one-tailed t tests 78\u003c\/p\u003e \u003cp\u003e4.5 Analysis of variance 78\u003c\/p\u003e \u003cp\u003e4.5.1 One-way ANOVA 79\u003c\/p\u003e \u003cp\u003e4.5.2 Factorial ANOVA 80\u003c\/p\u003e \u003cp\u003e4.5.3 Repeated measures ANOVA 82\u003c\/p\u003e \u003cp\u003e4.5.4 ANOVA for split-plot design 83\u003c\/p\u003e \u003cp\u003e4.6 Assumptions of t tests and F tests 86\u003c\/p\u003e \u003cp\u003e4.7 Identifying relationships 86\u003c\/p\u003e \u003cp\u003e4.8 Regression 89\u003c\/p\u003e \u003cp\u003e4.9 Nonparametric statistical tests 91\u003c\/p\u003e \u003cp\u003e4.9.1 Chi-square test 92\u003c\/p\u003e \u003cp\u003e4.9.2 Other non-parametric tests 94\u003c\/p\u003e \u003cp\u003eSummary 94\u003c\/p\u003e \u003cp\u003eDiscussion Questions 95\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 96\u003c\/p\u003e \u003cp\u003eTeam Exercises 96\u003c\/p\u003e \u003cp\u003eReferences 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Surveys 99\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 100\u003c\/p\u003e \u003cp\u003e5.2 Benefits and drawbacks of surveys 101\u003c\/p\u003e \u003cp\u003e5.3 Goals and targeted users for survey research 102\u003c\/p\u003e \u003cp\u003e5.4 Probabilistic sampling 103\u003c\/p\u003e \u003cp\u003e5.4.1 Stratification 105\u003c\/p\u003e \u003cp\u003e5.4.2 Response size 106\u003c\/p\u003e \u003cp\u003e5.4.3 Errors 106\u003c\/p\u003e \u003cp\u003e5.5 Non-probabilistic sampling 107\u003c\/p\u003e \u003cp\u003e5.5.1 Demographic data 107\u003c\/p\u003e \u003cp\u003e5.5.2 Oversampling 108\u003c\/p\u003e \u003cp\u003e5.5.3 Random sampling of usage, not users 109\u003c\/p\u003e \u003cp\u003e5.5.4 Self-selected surveys 109\u003c\/p\u003e \u003cp\u003e5.5.5 Uninvestigated populations 109\u003c\/p\u003e \u003cp\u003e5.6 Developing survey questions 111\u003c\/p\u003e \u003cp\u003e5.6.1 Open-ended questions 111\u003c\/p\u003e \u003cp\u003e5.6.2 Closed-ended questions 112\u003c\/p\u003e \u003cp\u003e5.6.3 Common problems with survey questions 113\u003c\/p\u003e \u003cp\u003e5.7 Overall survey structure 113\u003c\/p\u003e \u003cp\u003e5.8 Existing surveys 115\u003c\/p\u003e \u003cp\u003e5.9 Paper or online surveys? 116\u003c\/p\u003e \u003cp\u003e5.10 Testing the survey tool 118\u003c\/p\u003e \u003cp\u003e5.11 Response rate 119\u003c\/p\u003e \u003cp\u003e5.12 Data analysis 120\u003c\/p\u003e \u003cp\u003eSummary 121\u003c\/p\u003e \u003cp\u003eDiscussion Questions 121\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 122\u003c\/p\u003e \u003cp\u003eReferences 122\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Diaries 125\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 126\u003c\/p\u003e \u003cp\u003e6.2 Why do we use diaries in HCI research? 127\u003c\/p\u003e \u003cp\u003e6.3 Participants for a diary study 130\u003c\/p\u003e \u003cp\u003e6.4 What type of diary? 132\u003c\/p\u003e \u003cp\u003e6.4.1 Feedback diary 132\u003c\/p\u003e \u003cp\u003e6.4.2 Elicitation diary 133\u003c\/p\u003e \u003cp\u003e6.4.3 Hybrid feedback and elicitation diary 134\u003c\/p\u003e \u003cp\u003e6.5 Data collection for the diary study 134\u003c\/p\u003e \u003cp\u003e6.6 Letting participants know when to record a diary entry 136\u003c\/p\u003e \u003cp\u003e6.7 Analysis of diaries 137\u003c\/p\u003e \u003cp\u003eSummary 138\u003c\/p\u003e \u003cp\u003eDiscussion Questions 138\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 138\u003c\/p\u003e \u003cp\u003eReferences 139\u003c\/p\u003e \u003cp\u003eAppendix A Frustration Experience Form (Time Diary) 140\u003c\/p\u003e \u003cp\u003eAppendix B Excel Time Diary Form 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Case Studies 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 144\u003c\/p\u003e \u003cp\u003e7.2 Observing Sara: a case study of a case study 145\u003c\/p\u003e \u003cp\u003e7.3 What is a case study? 147\u003c\/p\u003e \u003cp\u003e7.3.1 In-depth investigation of a small number of cases 147\u003c\/p\u003e \u003cp\u003e7.3.2 Examination in context 147\u003c\/p\u003e \u003cp\u003e7.3.3 Multiple data sources 148\u003c\/p\u003e \u003cp\u003e7.3.4 Emphasis on qualitative data and analysis 149\u003c\/p\u003e \u003cp\u003e7.4 Goals of HCI case studies 150\u003c\/p\u003e \u003cp\u003e7.4.1 Exploration 150\u003c\/p\u003e \u003cp\u003e7.4.2 Explanation 151\u003c\/p\u003e \u003cp\u003e7.4.3 Description 152\u003c\/p\u003e \u003cp\u003e7.4.4 Demonstration 154\u003c\/p\u003e \u003cp\u003e7.5 Types of case study 156\u003c\/p\u003e \u003cp\u003e7.5.1 Intrinsic or instrumental 156\u003c\/p\u003e \u003cp\u003e7.5.2 Single case or multiple cases 156\u003c\/p\u003e \u003cp\u003e7.5.3 Embedded or holistic 160\u003c\/p\u003e \u003cp\u003e7.6 Research questions and hypotheses 161\u003c\/p\u003e \u003cp\u003e7.7 Choosing cases 163\u003c\/p\u003e \u003cp\u003e7.8 Data collection 164\u003c\/p\u003e \u003cp\u003e7.8.1 Data sources and questions 164\u003c\/p\u003e \u003cp\u003e7.8.2 Collecting data 165\u003c\/p\u003e \u003cp\u003e7.9 Analysis and interpretation 167\u003c\/p\u003e \u003cp\u003e7.10 Writing up the study 168\u003c\/p\u003e \u003cp\u003e7.11 Informal case studies 170\u003c\/p\u003e \u003cp\u003eSummary 172\u003c\/p\u003e \u003cp\u003eDiscussion Questions 174\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 174\u003c\/p\u003e \u003cp\u003eReferences 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Interviews and Focus Groups 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Pros and cons of interviews 178\u003c\/p\u003e \u003cp\u003e8.2 Applications of interviews in HCI research 180\u003c\/p\u003e \u003cp\u003e8.2.1 Initial exploration 180\u003c\/p\u003e \u003cp\u003e8.2.2 Requirements gathering 184\u003c\/p\u003e \u003cp\u003e8.2.3 Evaluation and subjective reactions 186\u003c\/p\u003e \u003cp\u003e8.3 Who to interview 187\u003c\/p\u003e \u003cp\u003e8.4 Interview strategies 189\u003c\/p\u003e \u003cp\u003e8.4.1 How much structure? 189\u003c\/p\u003e \u003cp\u003e8.4.2 Focused and contextual interviews 191\u003c\/p\u003e \u003cp\u003e8.5 Interviews vs focus groups 192\u003c\/p\u003e \u003cp\u003e8.6 Types of question 194\u003c\/p\u003e \u003cp\u003e8.7 Conducting an interview 197\u003c\/p\u003e \u003cp\u003e8.7.1 Preparation 197\u003c\/p\u003e \u003cp\u003e8.7.2 Recording the responses 198\u003c\/p\u003e \u003cp\u003e8.7.3 During the interview 199\u003c\/p\u003e \u003cp\u003e8.8 Electronically mediated interviews and focus groups 203\u003c\/p\u003e \u003cp\u003e8.8.1 Telephone 204\u003c\/p\u003e \u003cp\u003e8.8.2 Online 204\u003c\/p\u003e \u003cp\u003e8.9 Analyzing interview data 206\u003c\/p\u003e \u003cp\u003e8.9.1 What to analyze 207\u003c\/p\u003e \u003cp\u003e8.9.2 How to analyze 208\u003c\/p\u003e \u003cp\u003e8.9.3 Validity 212\u003c\/p\u003e \u003cp\u003e8.9.4 Reporting Results 212\u003c\/p\u003e \u003cp\u003eSummary 213\u003c\/p\u003e \u003cp\u003eDiscussion Questions 214\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 214\u003c\/p\u003e \u003cp\u003eReferences 215\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Ethnography 217\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 218\u003c\/p\u003e \u003cp\u003e9.2 What is ethnography? 219\u003c\/p\u003e \u003cp\u003e9.3 Ethnography in HCI 221\u003c\/p\u003e \u003cp\u003e9.4 Conducting ethnographic research 224\u003c\/p\u003e \u003cp\u003e9.4.1 Selecting a site or group of interest 225\u003c\/p\u003e \u003cp\u003e9.4.2 Participating: choosing a role 227\u003c\/p\u003e \u003cp\u003e9.4.3 Building relationships 230\u003c\/p\u003e \u003cp\u003e9.4.4 Making contact 231\u003c\/p\u003e \u003cp\u003e9.4.5 Interviewing, observing, analyzing, repeating, and theorizing 232\u003c\/p\u003e \u003cp\u003e9.4.6 Reporting results 236\u003c\/p\u003e \u003cp\u003e9.5 Some examples 237\u003c\/p\u003e \u003cp\u003e9.5.1 Home settings 237\u003c\/p\u003e \u003cp\u003e9.5.2 Work settings 238\u003c\/p\u003e \u003cp\u003e9.5.3 Educational settings 239\u003c\/p\u003e \u003cp\u003e9.5.4 Ethnographies of mobile and ubiquitous systems 240\u003c\/p\u003e \u003cp\u003e9.5.5 Virtual ethnography 241\u003c\/p\u003e \u003cp\u003eSummary 246\u003c\/p\u003e \u003cp\u003eDiscussion Questions 246\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 247\u003c\/p\u003e \u003cp\u003eReferences 248\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Usability Testing 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 What is usability testing? 252\u003c\/p\u003e \u003cp\u003e10.2 How does usability testing relate to traditional research? 254\u003c\/p\u003e \u003cp\u003e10.3 Types of usability testing or usability inspections 256\u003c\/p\u003e \u003cp\u003e10.3.1 Expert-based testing 256\u003c\/p\u003e \u003cp\u003e10.3.2 Automated usability testing 258\u003c\/p\u003e \u003cp\u003e10.4 User-based testing 260\u003c\/p\u003e \u003cp\u003e10.4.1 Types of usability testing 260\u003c\/p\u003e \u003cp\u003e10.4.2 Stages of usability testing 262\u003c\/p\u003e \u003cp\u003e10.4.3 How many users are sufficient? 263\u003c\/p\u003e \u003cp\u003e10.4.4 Locations for usability testing 264\u003c\/p\u003e \u003cp\u003e10.4.5 Task list 268\u003c\/p\u003e \u003cp\u003e10.4.6 Measurement 270\u003c\/p\u003e \u003cp\u003e10.4.7 The testing session 271\u003c\/p\u003e \u003cp\u003e10.4.8 Making sense of the data 274\u003c\/p\u003e \u003cp\u003e10.5 Other variations on usability testing 275\u003c\/p\u003e \u003cp\u003eSummary 276\u003c\/p\u003e \u003cp\u003eDiscussion Questions 276\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 277\u003c\/p\u003e \u003cp\u003eReferences 277\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Analyzing Qualitative Data 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 282\u003c\/p\u003e \u003cp\u003e11.2 Stages of qualitative analysis 282\u003c\/p\u003e \u003cp\u003e11.3 Grounded theory 283\u003c\/p\u003e \u003cp\u003e11.4 Content analysis 285\u003c\/p\u003e \u003cp\u003e11.4.1 What is content? 286\u003c\/p\u003e \u003cp\u003e11.4.2 Why do we need to collect text or multimedia information? 286\u003c\/p\u003e \u003cp\u003e11.4.3 Questions to consider before content analysis 287\u003c\/p\u003e \u003cp\u003e11.5 Analyzing text content 289\u003c\/p\u003e \u003cp\u003e11.5.1 Procedure 289\u003c\/p\u003e \u003cp\u003e11.5.2 Identifying coding categories 290\u003c\/p\u003e \u003cp\u003e11.5.3 Coding the text 292\u003c\/p\u003e \u003cp\u003e11.5.4 Ensuring high-quality analysis 294\u003c\/p\u003e \u003cp\u003e11.6 Analyzing multimedia content 300\u003c\/p\u003e \u003cp\u003eSummary 301\u003c\/p\u003e \u003cp\u003eDiscussion Questions 302\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 303\u003c\/p\u003e \u003cp\u003eReferences 303\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Automated Data Collection Methods 307\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Exploiting existing tools 308\u003c\/p\u003e \u003cp\u003e12.1.1 Web logs 309\u003c\/p\u003e \u003cp\u003e12.1.2 Stored application data 315\u003c\/p\u003e \u003cp\u003e12.2 Using software to observe and record 317\u003c\/p\u003e \u003cp\u003e12.2.1 Web proxies 317\u003c\/p\u003e \u003cp\u003e12.2.2 Instrumented software 321\u003c\/p\u003e \u003cp\u003e12.2.3 Custom-built software 324\u003c\/p\u003e \u003cp\u003e12.2.4 Handling stored data 327\u003c\/p\u003e \u003cp\u003e12.2.5 Keystroke and activity loggers 328\u003c\/p\u003e \u003cp\u003e12.2.6 Analyzing log files 329\u003c\/p\u003e \u003cp\u003e12.3 Hybrid data collection methods 330\u003c\/p\u003e \u003cp\u003e12.4 Automated interface evaluation 333\u003c\/p\u003e \u003cp\u003e12.5 Challenges of computerized data collection 333\u003c\/p\u003e \u003cp\u003eSummary 336\u003c\/p\u003e \u003cp\u003eDiscussion Questions 337\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 338\u003c\/p\u003e \u003cp\u003eReferences 339\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Measuring the Human 343\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Eye tracking 344\u003c\/p\u003e \u003cp\u003e13.2 Physiological tools 350\u003c\/p\u003e \u003cp\u003e13.2.1 Physiological data 351\u003c\/p\u003e \u003cp\u003e13.2.2 Challenges in data collection and interpretation 356\u003c\/p\u003e \u003cp\u003e13.3 Examples of physiological research in HCI 359\u003c\/p\u003e \u003cp\u003eSummary 361\u003c\/p\u003e \u003cp\u003eDiscussion Questions 362\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 363\u003c\/p\u003e \u003cp\u003eReferences 363\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Working with Human Subjects 367\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Identifying potential participants 368\u003c\/p\u003e \u003cp\u003e14.1.1 Which subjects? 369\u003c\/p\u003e \u003cp\u003e14.1.2 How many subjects? 371\u003c\/p\u003e \u003cp\u003e14.1.3 Recruiting participants 373\u003c\/p\u003e \u003cp\u003e14.2 Care and handling of research participants 376\u003c\/p\u003e \u003cp\u003e14.2.1 Protecting participants 376\u003c\/p\u003e \u003cp\u003e14.2.2 Informed consent 381\u003c\/p\u003e \u003cp\u003e14.2.3 Institutional review boards 384\u003c\/p\u003e \u003cp\u003e14.2.4 Potentially deceptive research? 387\u003c\/p\u003e \u003cp\u003e14.2.5 General concerns 388\u003c\/p\u003e \u003cp\u003e14.3 Online research 389\u003c\/p\u003e \u003cp\u003e14.3.1 Appropriate topics for online research 389\u003c\/p\u003e \u003cp\u003e14.3.2 Recruiting 389\u003c\/p\u003e \u003cp\u003e14.3.3 Study design 391\u003c\/p\u003e \u003cp\u003e14.3.4 Ethical concerns 391\u003c\/p\u003e \u003cp\u003e14.3.5 Data collection 392\u003c\/p\u003e \u003cp\u003eSummary 393\u003c\/p\u003e \u003cp\u003eDiscussion Questions 394\u003c\/p\u003e \u003cp\u003eResearch Design Exercises 395\u003c\/p\u003e \u003cp\u003eReferences 396\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Working with Research Participants with Impairments 399\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 400\u003c\/p\u003e \u003cp\u003e15.2 How many participants? 401\u003c\/p\u003e \u003cp\u003e15.2.1 Small sample sizes 401\u003c\/p\u003e \u003cp\u003e15.2.2 Distributed research 401\u003c\/p\u003e \u003cp\u003e15.2.3 In-depth case studies 402\u003c\/p\u003e \u003cp\u003e15.3 Proxy users 403\u003c\/p\u003e \u003cp\u003e15.4 Multi-Population Studies 404\u003c\/p\u003e \u003cp\u003e15.5 Recruiting users through community partners 405\u003c\/p\u003e \u003cp\u003e15.6 Pilot studies 407\u003c\/p\u003e \u003cp\u003e15.7 Scheduling users with impairments 408\u003c\/p\u003e \u003cp\u003e15.8 Documentation for users with impairments 409\u003c\/p\u003e \u003cp\u003e15.8.1 Human subjects forms 409\u003c\/p\u003e \u003cp\u003e15.8.2 Research documentation 410\u003c\/p\u003e \u003cp\u003e15.9 Differing levels of ability 412\u003c\/p\u003e \u003cp\u003e15.10 Bringing extra computer parts 413\u003c\/p\u003e \u003cp\u003e15.11 Payment 415\u003c\/p\u003e \u003cp\u003eSummary 415\u003c\/p\u003e \u003cp\u003eDiscussion Questions 415\u003c\/p\u003e \u003cp\u003eResearch Design Exercise 416\u003c\/p\u003e \u003cp\u003eReferences 416\u003c\/p\u003e \u003cp\u003eIndex 419\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Jonathan Lazar\u003c\/b\u003e is an Associate Professor of Computer and Information Sciences at Towson University, where he serves as head of the Computer Information Systems Program, and is the founder and director of the Universal Usability Laboratory.\u003cbr\u003eDr. Lazar has authored over 70 refereed publications, on the topics of web usability, assistive technology, user error and frustration, and user-centered design methods. He has previously authored two books and edited two books. His most recent authored book is \u003ci\u003eWeb Usability: A User-Centered Design Approach\u003c\/i\u003e, published by Addison-Wesley in 2006, and his most recent edited book is \u003ci\u003eUniversal Usability: Designing Computer Interfaces for Diverse User Populations\u003c\/i\u003e published by John Wiley in 2007.\u003cbr\u003eDr. Lazar is a founding member and currently serves as Chair of the Association for Computing Machinery (ACM) SIGCHI U.S. Public Policy Committee. He was also recently named a Distinguished Speaker of the ACM. He has served on a number of conference committees, including CHI, ASSETS, INTERACT, and HCII.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Jinjuan Heidi Feng\u003c\/b\u003e is the author of \u003ci\u003eResearch Methods in Human-Computer Interaction\u003c\/i\u003e, published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Harry Hochheiser\u003c\/b\u003e is the author of \u003ci\u003eResearch Methods in Human-Computer Interaction\u003c\/i\u003e, published by Wiley.\u003c\/p\u003e Continual technological evolution has led to an explosion of new techniques in Human-Computer Interaction (HCI) research. \u003ci\u003eResearch Methods in Human-Computer Interaction\u003c\/i\u003e is a thoroughly comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, time diaries, physiological measurements, case studies, and other essential elements in the well-informed HCI researcher's toolkit. \u003cp\u003eWritten to support industrial and academic researchers, including faculty and students at both graduate and undergraduate levels, this book provides wide-ranging coverage of all research issues, supported by many real-world examples. It is intended to inspire the reader to do groundbreaking research, to change the way people think about human–computer interaction, to do something different, something noteworthy, and something important.\u003c\/p\u003e \u003cp\u003eA companion website with additional resources for instructors can be found at http:\/\/www.wileyeurope.com\/college\/lazar.\u003c\/p\u003e \u003cp\u003e\"This book is a must read for anyone in the field of Human-Computer Interaction. The multi-disciplinarian approach, housed in the reality of the technological world today, makes for a practical and informative guide for user interface designers, software and hardware engineers and anyone doing user research.\"\u003cbr\u003e\u003cb\u003e—Dr. Mary Czerwinski, Research Area Manager, Microsoft Research, USA\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"Research Methods in HCI is an excellent read for practitioners and students alike. It discusses all the must-know theory, provides detailed instructions on how to carry out the research, and offers great examples. I loved it!\"\u003cbr\u003e\u003cb\u003e—Professor Vanessa Evers,\u003c\/b\u003e \u003cb\u003eProfessor, Human Computer Studies Lab, University of Amsterdam, the Netherlands\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"The book is superb: comprehensive, clear, and engaging! This is a one-stop HCI methods reference library. If you can only buy one HCI methods book, this is the one!\"\u003cbr\u003e\u003cb\u003e—Dr. Clare-Marie Karat, IBM TJ Watson Research, USA, and recipient of the 2009 ACM SIGCHI Lifetime Service Award\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"A much needed and very useful book, covering important HCI research methods overlooked in standard research methods texts.\"\u003cbr\u003e\u003cb\u003e—Professor Gilbert Cockton, School of Design, Northumbria University, United Kingdom\u003c\/b\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989947629797,"sku":"NP9780470723371","price":61.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470723371.jpg?v=1761785999","url":"https:\/\/k12savings.com\/es\/products\/research-methods-in-human-computer-interaction-isbn-9780470723371","provider":"K12savings","version":"1.0","type":"link"}