Appendix D

References

Chapter 1: Introduction to User Experience

Bias RG, Mayhew DJ. Cost-justifying usability: An update for the Internet age. 2nd ed. San Francisco, CA: Morgan Kaufmann Publishers; 2005.

Burns M, Manning H, Petersen J. The business impact of customer experience, 2012. Business case: The experience-driven organization playbook. Cambridge, MA: Forrester; 2012. http://www.forrester.com/The+Business+Impact+Of+Customer+Experience+2012/fulltext/-/E-RES61251.

Farrell S, Nielsen J. User experience career advice: How to learn UX and get a job. 2014. Retrieved from http://www.nngroup.com/reports/user-experience-careers/.

Forrester’s North American Technographics Customer Experience Online Survey, Q4. 2011 (US).

Gould JD, Lewis C. Designing for usability: key principles and what designers think. Communications of the ACM. 1985;2(3):300–311.

Hackos JT, Redish JC. User and Task Analysis for Interface Design. New York: John Wiley & Sons; 1998.

IBM. Cost justifying ease of use: Complex solutions are problems. 2001. October 9, 2001. Available at www-3.ibm.com/ibm/easy/eou_ext.nsf/Publish/23.

Johnson J. GUI bloopers 2.0: Common user interface design don’ts and dos. Morgan Kaufmann; 2008.

Keeley L, Walters H, Pikkel R, Quinn B. Ten types of innovation: The discipline of building breakthroughs. Hoboken, NJ: John Wiley & Sons; 2013.

Lederer AL, Prasad J. Nine management guidelines for better cost estimating. Communications of the ACM. 1992;35(2):51–59.

Manning H, Bodine K. Outside in: The power of putting customers at the center of your business. New York: Houghton Mifflin Harcourt; 2012.

Marcus A. Return on investment for usable UI design, user experience, Winter, 25–31. Bloomingdale, IL: Usability Professionals’ Association; 2002.

Nielsen J. Why you only need to test with 5 users. 2000. Retrieved from http://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/.

Norman DA. Words matter. Talk about people: not customers, not consumers, not users. Interactions. 2006;13(5):49–63.

Pressman RS. Software engineering: A practitioner’s approach. New York: McGraw-Hill; 1992.

Rhodes J. Usability can save your company. 2000. [Webpage] Retrieved from http://webword.com/moving/savecompany.html.

Sharon T. It’s Our Research. Morgan Kaufmann; 2012.

Stone M. Back to basics. 2013. [Blog post] Retrieved from http://mariastonemashka123.wordpress.com/.

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Weinberg J. Quality Software Management. Vol. 4: Anticipating change. New York: Dorset House; 1997.

Chapter 2: Before You Choose an Activity: Learning About Your Product Users

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Benedek J, Miner T. Measuring desirability: New methods for evaluating desirability in a usability lab setting. In: Proceedings of UPA 2002 Conference, Orlando, FL; 2002.

Chavan AL, Munshi S. Emotion in a ticket. In: CHI’04 extended abstracts on human factors in computing systems. New York, NY, USA: ACM; 2004:1544 1544.

Chavan AL, Prabhu GV, eds. Innovative solutions: What designers need to know for today’s emerging markets. CRC Press; 2010.

Costa T, Dalton J, Gillett FE, Gill M, Campbell C, Silk D. Build seamless experiences now: Experience persistence transforms fragmented interactions into a unified system of engagement. Forrester; 2013. Retrieved from http://www.forrester.com/Build+Seamless+Experiences+Now/fulltext/-/E-RES97021.

Department of Health and Human Services, Administration on Aging. Trends in the older population using Census 2000, Estimates 2001–2009, Census 2010. Retrieved from: http://www.aoa.gov/AoAroot/Aging_Statistics/Census_Population/census2010/docs/Trends_Older_Pop.xls. 2010.

Fisk AD, Rogers WA, Charness N, Czaja SJ, Sharit J. Designing for older adults: Principles and creative human factors approaches. 2nd ed. Boca Raton, FL: CRC; 2009.

Folstein MF, Folstein SE, McHugh PR. Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research. 1975;12(3):189–198.

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Mace R. Universal design: Barrier free environments for everyone. Designers West. 1985;33(1):147–152.

McInerney P. Getting More from UCD Scenarios. Paper for IBM MITE. Available at: 2003. http://www-306.ibm.com/ibm/easy/eou_ext.nsf/Publish/50?OpenDocument&./Publish/1111/$File/paper1111.pdf.

Pew Internet Research Project Social Networking Media Fact Sheet. Retrieved from: http://www.pewinternet.org/fact-sheets/social-networking-fact-sheet/. April 27, 2014 on.

Plocher T, Chavan A. User needs research special interest group. In: CHI’02 extended abstracts on human factors in computing systems. New York, NY, USA: ACM; 2002.

Snider JG, Osgood CE, eds. Semantic differential technique; a sourcebook. Hawthorne, NY: Aldine Pub. Co.; 1969.

Story M, Mace R, Mueller J. The universal design file: Designing for people of all ages and abilities. Raleigh, NC: Center for Universal Design, NC State University; 1998.

Chapter 5: Choosing a User Experience Research Activity

Bernard HR. Social research methods. Thousand Oaks, CA: Sage; 2000.

Creswell JW. Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage Publications; 1998.

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Food and Drug Administration. Draft guidance for industry and Food and Drug Administration staff—Applying human factors and usability engineering to optimize medical device design. Silver Spring, MD: U.S. Food and Drug Administration; 2014.

Green J, Thorogood N. Qualitative methods for health research. 2nd ed. Thousand Oaks, CA: Sage; 2009.

Guest G, Bunce A, Johnson L. How many interviews are enough? Field Methods. 2006;18(1):59–82. doi:10.1177/1525822X05279903 [Webpage] Retrieved from.

Hektner JM, Schmidt JA, Csikszentmihalyi M. Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA: Sage; 2007.

Hwang W, Salvendy G. Number of people required for usability evaluation: the 10 ± 2 rule. Communications of the ACM. 2010;53(5):130–133.

Krueger RA, Casey MA. Focus groups: A practical guide for applied research. Thousand Oaks, CA: Sage Publications Inc. 2000.

Morse JM. Designing funded qualitative research. In: Denzin NK, Lincoln YS, eds. Handbook of qualitative research. 2nd ed. Thousand Oaks, CA: Sage; 1994:220–235.

Nielsen J. Estimating the number of subjects needed for a thinking aloud test. International Journal of Human-Computer Studies. 1994;41:385–397.

Nielsen J. Why you only need to test with 5 users. Alertbox. Available at: www.useit.com/alertbox/20000319.html. 2000.

Quesenbery W, Szuc D. Choosing the right usability tool. 2005. Retrieved from: http://www.wqusability.com/handouts/right-tool.pdf.

Sauro J, Lewis JR. Quantifying the user experience: Practical statistics for user research. Burlington: Elsevier; 2012.

Sears A, Jacko J. The human-computer interaction handbook: Fundamentals, evolving technologies. Boca Raton, FL: CRC Press; 2012.

Tullis T, Wood L. How many users are enough for a card-sorting study? In: Proceedings UPA’2004 (Minneapolis, MN, June 7–11, 2004); 2004.

Chapter 6: Preparing for Your User Research Activity

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Casler K, Bickel L, Hackett E. Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Journal of Computers in Human Behavior. 2013;29(6):2156–2160.

Dray S, Mrazek D. A day in the life of a family: An international ethnographic study. In: Wixon DR, Ramey J, eds. Field methods casebook for software design. New York: John Wiley & Sons; 1996.

Kittur A, Chi E, Suh B. Crowdsourcing user studies with Mechanical Turk. In: Proceedings of the SIGCHI conference on human factors in computing systems; 2008:453–456.

Chapter 7: During Your User Research Activity

Boren MT, Ramey J. Thinking aloud: Reconciling theory and practice. IEEE Transactions on Professional Communication. 2000;43(3):261–278.

Dumas JS, Redish JC. A practical guide to usability testing. 2nd ed. Exeter, England: Intellect Books; 1999.

Nisbett RE, Wilson TD. Telling more than we can know: Verbal reports on mental processes. Psychological Review. 1977;84(3):231–259.

Chapter 8: Diary Studies

Allport GW. The use of personal documents in psychological science. New York: Social Science Research Council; 1942.

Engelberger JF. Robotics in practice: Future capabilities. Electronic Servicing & Technology magazine; 1982.

Hackos JT, Redish JC. User and task analysis for interface design. New York: John Wiley & Sons; 1998.

Kahneman D, Krueger AB, Schkade D, Schwarz N, Stone AA. A survey method for characterizing daily life experience: The day reconstruction method. Science. 2004;306:1776–1780.

Kahneman D. Thinking, fast and slow. New York: Farrar, Strauss, Giroux; 2011.

Larson R, Csikszentmihalyi M. The experience sampling method. In: Reis HT, ed. San Francisco: Jossey-Bass; 41–56. Naturalistic Approaches to Studying Social Interaction. New Directions for Methodology of Social and Behavioral Science. 1983;Vol. 15.

Yue Z, Litt E, Cai CJ, Stern J, Baxter KK, Guan Z, et al. Photographing information needs: the role of photos in experience sampling method-style research. In: Proceedings of the 32nd annual ACM conference on human factors in computing systems. ACM; 2014, April:1545–1554.

Chapter 9: Interviews

Alreck PL, Settle RB. The survey research handbook. 2nd ed. Burr Ridge, IL: Irwin Professional Publishing; 1995.

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Boren MT, Ramey J. Thinking aloud: Reconciling theory and practice. IEEE Transactions on Professional Communication. 2000;43:261–278.

Census US. Children living apart from parents—Characteristics of children under 18 and designated parents. 2006.

Census US. Household relationship and living arrangements of children under 18 years, by age and sex. 2008.

De Swert K. Calculating inter-coder reliability in media content analysis using Krippendorff’s Alpha. 2012 Available online: http://www.polcomm.org/wp-content/uploads/ICR01022012.pdf.

Dumas JS, Redish JC. A practical guide to usability testing. 2nd ed. Exeter, England: Intellect Books; 1999.

Green J, Thorogood N. Qualitative methods for health research. 2nd Thousand Oaks, CA: Sage; 2009.

Guest G, Bunce A, Johnson L. How many interviews are enough? An experiment with data saturation and variability. Field Methods. 2006;18:59–82.

Johnson T, Hougland J, Clayton R. Obtaining reports of sensitive behavior: A comparison of substance use reports from telephone and face-to-face interviews. Social Science Quarterly. 1989;70(1):173–183.

Krosnick JA. Survey research. Annual Review of Psychology. 1999;50:537–567.

Landis JR, Koch GG. The measurement of observer agreement for categorical. Biometrics. 1977;33:159–174.

Shefts KR. Virtual visitation: The next generation of options for parent-child communication. Family Law Quarterly. 2002;36(2):303–327.

Stafford M. Communication competencies and sociocultural priorities of middle childhood. In: Handbook of family communication. Mahwah, NJ: Lawrence Erlbaum Associates; 2004:311–332.

Yarosh S, Chew YC, Abowd GD. Supporting parent-child communication in divorced families. International Journal of Human-Computer Studies. 2009;67(2):192–203.

Yarosh S, Abowd GD. Mediated parent-child contact in work-separated families. In: ACM; 2011:1185–1194. Proc. of CHI.

Yarosh S. Conflict in families as an ethical and methodological consideration. In: Judge TK, Neustaedter C, eds. Evaluating and designing for domestic life: research methods for human-computer interaction. Springer Publishers; 2014.

Chapter 10: Surveys

Callegaro M, Baker RP, Bethlehem J, Göritz AS, Krosnick JA, Lavrakas PJ, eds. Online panel research: A data quality perspective. John Wiley & Sons; 2014.

Chang L, Krosnick JA. National surveys via RDD telephone interviewing versus the Internet comparing sample representativeness and response quality. Public Opinion Quarterly. 2009;73(4):641–678.

Couper M. Designing effective web surveys. Cambridge: Cambridge University Press; 2008.

Crow D, Johnson M, Hanneman R. Benefits—and costs—of a multi-mode survey of recent college graduates. Survey Practice. 2011;4(5).

Dillman DA, Smyth JD, Christian LM. Internet, mail, and mixed-mode surveys: The tailored design method. 3rd ed. Hoboken, NJ: John Wiley and Sons; 2009.

Greenlaw C, Brown-Welty S. A comparison of web-based and paper-based survey methods testing assumptions of survey mode and response cost. Evaluation Review. 2009;33(5):464–480.

Groves RM, Dilman DA, Eltinge JL, Little RJA. Survey nonresponse in design, data collection, and analysis. In: Groves RM, Dilman DA, Eltinge JL, Roderick J.A. Little, eds. Survey nonresponse. New York: John Wiley and Sons; 2002.

Holbrook AL, Green MC, Krosnick JA. Telephone versus face-to-face interviewing of national probability samples with long questionnaires: Comparisons of respondent satisficing and social desirability response bias. Public Opinion Quarterly. 2003;67(1):79–125.

Holbrook AL, Krosnick JA, Pfent A. Response rates in surveys by the news media and government contractor survey research firms. In: Lepkowski J, Harris-Kojetin B, Lavrakas PJ, eds. Advances in telephone survey methodology. New York, NY: Wiley; 2007:499–528.

Krosnick JA, Li F, Lehman DR. Conversational conventions, order of information acquisition, and the effect of base rates and individuating information on social judgments. Journal of Personality and Social Psychology. 1990;59(6):1140.

Krosnick J. Response strategies for coping with the cognitive demands of attitude measures in surveys. Applied Cognitive Psychology. 1991;5:213–236.

Krosnick J, Narayan S, Smith W. Satisficing in surveys: Initial evidence. New Directions for Evaluation. 1996;1996(70):29–44.

Krosnick J, Fabrigar L. Designing rating scales for effective measurement in surveys. In: Survey measurement and process quality. 1997:141–164.

Krosnick J. Survey research. Annual Review of Psychology. 1999;50(1):537–567.

Krosnick JA, Tahk AM. The optimal length of rating scales to maximize reliability and validity. California: Stanford University; 2008 Unpublished manuscript.

Krosnick J, Presser S. Question and questionnaire design. In: Handbook of survey research. 2nd ed Bingley, UK: Emerald; 2010:263–314.

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Müller H, Sedley A, Ferrall-Nunge E. Survey research in HCI. In: Ways of knowing in HCI. New York: Springer; 2014:229–266.

Saris WE, Revilla M, Krosnick JA, Shaeffer E. Comparing questions with agree/disagree response options to questions with item-specific response options. Survey Research Methods. 2010;4(1).

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Villar A, Callegaro M, Yang Y. Where am I? A meta-analysis of experiments on the effects of progress indicators for web surveys. Social Science Computer Review. 2013;31(6):744–762.

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Chapter 11: Card Sorting

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Chapter 12: Focus Groups

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Chapter 13: Field Studies

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Chapter 14: Evaluation Methods

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Borsci S, Macredie RD, Barnett J, Martin J, Kuljis J, Young T. Reviewing and extending the five-user assumption: A grounded procedure for interaction evaluation. ACM Transactions on Computer-Human Interaction. 2013. ;20(5):29. doi:10.1145/2506210. Retrieved from http://doi.acm.org/10.1145/2506210.

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Kim B, Dong Y, Kim S, Lee KP. Development of integrated analysis system and tool of perception, recognition, and behavior for web usability test: With emphasis on eye-tracking, mouse-tracking, and retrospective think aloud. In: Usability and internationalization. HCI and culture. Berlin, Heidelberg: Springer; 2007:113–121.

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Medlock MC, Wixon D, Terrano M, Romero R, Fulton B. Using the RITE method to improve products: A definition and a case study. Usability Professionals Association; 2002.

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Nielsen J, Landauer TK. A mathematical model of the finding of usability problems. In: Proceedings of the INTERACT’93 and CHI’93 conference on human factors in computing systems, ACM; 1993:206–213.

Nielsen J, Molich R. Heuristic evaluation of user interfaces. In: Proceedings of the SIGCHI conference on human factors in computing systems, ACM; 1990:249–256.

Norman DA. Emotional design: Why we love (or hate) everyday things. New York: Basic Books; 2004.

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Russell DM, Chi EH. Looking back: Retrospective study methods for HCI. Ways of knowing in HCI. New York: Springer; 2014 pp. 373–393.

Sauro J. A brief history of the magic number 5 in usability testing. 2010. Retrieved from https://www.measuringusability.com/blog/five-history.php.

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Chapter 15: Concluding Final

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