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User-Centered Design – Evolution of an Interdisciplinary Process Approach Utilizing Empirical Research Methods

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Human Interaction, Emerging Technologies and Future Systems V (IHIET 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 319))

Abstract

Engineers are not usually confronted with empirical research methods during their education. Classical product developers thus lack knowledge and the intuition of what to consider when using methods in user studies. The problem is that user studies therefore miss potential development goals for optimized user-centered product design. To resolve these difficulties, a process approach and an in-depth guide have been developed. They provide knowledge, focused on psychology and social sciences about user studies along the ideally typical history of an empirical study in a structured, compact and comprehensible form. This enables product developers to more effectively and efficiently capture the needs of customers. At the same time, the effort required to implement user studies is reduced, errors are avoided and quality is increased. In the future, the process approach and the guide will be verified and validated.

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References

  1. Cooper, R.G., Kleinschmidt, E.J.: Success factors in product innovation. Ind. Mark. Manage. 16, 215–223 (1987). https://doi.org/10.1016/0019-8501(87)90029-0

    Article  Google Scholar 

  2. Ergonomics of human-system interaction—Part 210: Human-centred design for interactive systems (9241-210:2019)

    Google Scholar 

  3. Wang, T., Ji, P.: Understanding customer needs through quantitative analysis of Kano’s model. Int. J. Qual. Reliab. Manag. 27, 173–184 (2010). https://doi.org/10.1108/02656711011014294

    Article  Google Scholar 

  4. Germann, R., Ribadeneira, E.A., Matthiesen, S.: Objective evaluation of usability aspects for the development of handle geometries. Procedia CIRP 84, 502–513 (2019). https://doi.org/10.1016/j.procir.2019.03.295

    Article  Google Scholar 

  5. Kujala, S.: User studies: A practical approach to user involvement for gathering user needs and requirements. Zugl.: Espoo, Helsinki Univ. of Technology, Diss., 2002. Acta polytechnica Scandinavica Mathematics and computing series, vol. 116. Finnish Acad. of Technology, Espoo (2002)

    Google Scholar 

  6. Döring, N., Bortz, J.: Research Methods and Evaluation in the Social and Human Sciences. Springer, Heidelberg (2016)

    Google Scholar 

  7. Kornwachs, K.: Technical Sciences: Recognize - Design - Take Responsibility. acatech IMPULS, February 2013. Springer, Berlin (2013)

    Google Scholar 

  8. Eid, M., Diener, E. (eds.): Handbook of Multimethod Measurement in Psychology, 1st edn. American Psychological Association, Washington (2006)

    Google Scholar 

  9. Hussy, W., Schreier, M., Echterhoff, G.: Research Methods in Psychology and Social Sciences for Bachelor, 2 revised edition. Springer-Lehrbuch. Springer, Heidelberg (2013)

    Google Scholar 

  10. Bortz, J., Döring, N.: Research Methods and Evaluation. Springer, Heidelberg (2006)

    Google Scholar 

  11. Baur, N., Blasius, J. (eds.): Handbook Methods of Empirical Social Research. Springer VS, Wiesbaden (2014)

    Google Scholar 

  12. Campbell, D.T., Stanley, J.C.: Experimental and quasi-experimental designs for research, 2. print; Reprinted from “Handbook of research on teaching”. Houghton Mifflin Comp, Boston (1967)

    Google Scholar 

  13. Diekmann, A.: Empirical Social Research: Fundamentals, Methods, Applications, 12. Edition, completely revised and expanded new edition August 2007. Rororo Rowohlts Enzyklopädie, vol. 55678. Rowohlt Taschenbuch Verlag, Reinbek bei Hamburg (2018)

    Google Scholar 

  14. Flick, U.: Social research : methods and applications : an overview for BA majors., 3. Auflage. Rororo Rowohlts Enzyklopädie, vol. 55702. Rowohlt Taschenbuch Verlag, Reinbek bei Hamburg (2016)

    Google Scholar 

  15. Häder, M.: Empirical social research: an introduction, 4th edn. Textbook (2019)

    Google Scholar 

  16. Reiß, S., Sarris, V.: Experimental Psychology: From Theory to Practice. Always learning. Pearson, München (2012)

    Google Scholar 

  17. Schnell, R., Hill, P.B., Esser, E.: Methods of Empirical Social Research, 11th, revised edition. De Gruyter Studium. De Gruyter Oldenbourg, Berlin, Boston (2018)

    Google Scholar 

  18. Sedlmeier, P., Renkewitz, F.: Research Methods and Statistics: For Psychologists and Social Scientists, 3rd, updated and expanded edition. Pearson, Hallbergmoos (2018)

    Google Scholar 

  19. Beller, S.: Learning to do empirical research: concepts, methods, case studies, tips, 3rd, revised and expanded edition. Hogrefe, Bern (2016)

    Google Scholar 

  20. Akremi, L., Baur, N., Fromm, S.: Data Analysis with SPSS for Advanced Users 1: Data Preparation and Univariate and Bivariate Statistics, 3rd, revised and expanded edition. VS Verlag für Sozialwissenschaften/Springer Fachmedien Wiesbaden GmbH Wiesbaden, Wiesbaden (2011)

    Google Scholar 

  21. Bortz, J., Schuster, C.: Statistics for Human and Social Scientists, 7th, fully revised and expanded edition. Springer-Lehrbuch. Springer, Heidelberg (2010)

    Google Scholar 

  22. Bühner, M., Ziegler, M.: Statistics for Psychologists and Social Scientists, 2nd, updated and expanded edition. Pearson, Hallbergmoos (2017)

    Google Scholar 

  23. Diaz-Bone, R.: Statistics for Sociologists, 5th, revised edition. UTB Sozialwissenschaften (2019)

    Google Scholar 

  24. Duller, C.: Introduction to Statistics with EXCEL and SPSS: An Application-Oriented Textbook and Workbook, 3rd, revised ed. 2013. Springer-Lehrbuch. Springer, Heidelberg (2013)

    Google Scholar 

  25. Leonhart, R.: Psychological methodology, statistics : with 40 tables ; with 64 practice questions. UTB UTB basics, vol 3064. Ernst Reinhardt Verlag, München, Basel (2008)

    Google Scholar 

  26. Pflaumer, P., Heine, B., Hartung, J.: Statistics for Economics and Social Sciences. Textbooks and Handbooks of Statistics, 4th edn. De Gruyter, Berlin/Boston (2017)

    Google Scholar 

  27. Stelzl, I.: Errors and Pitfalls of Statistics: For Psychologists, Educators, and Social Scientists. Standard Works in Psychology and Education, Reprints, vol. 1. Waxmann, Münster, New York, München, Berlin (2005)

    Google Scholar 

  28. Hörold, S., Ruschin, D., Schubert, D., et al.: The “human factor” in the focus of the development of 3D technologies - collection of methods 2015 (2015)

    Google Scholar 

  29. Häder, M.: Data Protection in the Social Sciences. RatSWD Working Paper 90/2009 (2009)

    Google Scholar 

  30. Orne, M.T.: On the social psychology of the psychological experiment: with particular reference to demand characteristics and their implications. Am. Psychol. 17, 776–783 (1962). https://doi.org/10.1037/h0043424

    Article  Google Scholar 

  31. VDI- Verein deutscher Ingenieuere. Ethical Principles of the Engineering Profession (2002)

    Google Scholar 

  32. Bunge, M.: Scientific Research I. Springer, Berlin (2012)

    Google Scholar 

  33. Hussy, W., Jain, A.: Experimental Hypothesis Testing in Psychology. Hogrefe Verlag für Psychologie, Göttingen (2002)

    Google Scholar 

  34. Dennis, S., Kintsch, W.: Evaluating Theories. In: Critical Thinking in Psychology, pp. 143–159. Cambridge University Press, New York (2007)

    Google Scholar 

  35. McGuire Creative Hypothesis Generating in Psychology: Some Useful Heuristics. Ann. Rev. Psychol. 1–30 (1997)

    Google Scholar 

  36. Gigerenzer, G.: Where do theories of cognitive processes come from? Psychologische Rundschau 1988, 91–100 (1988)

    Google Scholar 

  37. Conrad, E., Maul, T.: Introduction to Experimental Psychology. Wiley, New York (1981)

    Google Scholar 

  38. Shadish, W.R., Cook, T.D., Campbell, D.T.: Experimental and quasi-experimental designs for generalized causal inference. Wadsworth Cengage Learning, Belmont, Calif (2002)

    Google Scholar 

  39. Pawlik, K. (ed.): Handbook of Psychology: Science, Applications, Professions; with 46 Tables. Springer, Heidelberg (2006)

    Google Scholar 

  40. Collins, D.: Pretesting survey instruments: an overview of cognitive methods. Qual. Life Res 12, 229–238 (2003). https://doi.org/10.1023/A:1023254226592

    Article  Google Scholar 

  41. Gigerenzer, G.: Measurement and modeling in psychology. Uni paperbacks psychiatry, education, sociology, psychiatry, vol. 1047. Reinhardt, München (1981)

    Google Scholar 

  42. Orth, B.: Introduction to the Theory of Measurement. Study text. Kohlhammer, Stuttgart (1974)

    Google Scholar 

  43. Steyer, R., Eid, M.: Measurement and Testing: With Exercises and Solutions; With 20 Tab, 2nd edn. Springer textbook. Springer, Berlin (2001)

    Google Scholar 

  44. Little, R.J.A., Rubin, D.B.: Statistical analysis with missing data, 3. rev. ed. Wiley Blackwell, Chichester, West Sussex (2012)

    Google Scholar 

  45. Field, A.: Discovering Statistics using IBM SPSS Statistics, 5th edn. Sage, Los Angeles (2018)

    Google Scholar 

  46. Kühnel, S., Krebs, D.: Statistics for the Social Sciences: Principles, Methods, Applications, original edition, 7th ed. July 2014. Rororo Rowohlts Enzyklopädie, vol. 55639. Rowohlt Taschenbuch Verlag, Reinbek bei Hamburg (2014)

    Google Scholar 

  47. Cook, T.D., Campbell, D.T.: Quasi-Experimentation: Design & Analysis Issues for Field Settings. Houghton Mifflin, Boston (1979)

    Google Scholar 

  48. Sarris, V., Reiß, S.: Brief Guide to Experimental Psychology. Pearson Studium ps psychologie. Pearson-Studium, München (2005)

    Google Scholar 

  49. Walach, H., Nv, S.: Psychology: Philosophy of Science, Philosophical Foundations, and History : a Textbook , 3rd edn. Kohlhammer, Stuttgart (2013)

    Google Scholar 

  50. Fotler, D., Germann, R., Gröbe-Boxdorfer, B., et al.: Guideline for the application of empirical research methods in user-centered product development: research with and on people in the engineering sciences. Karlsruher Institut für Technologie (KIT) (2021)

    Google Scholar 

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Correspondence to Diana Fotler .

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Fotler, D., Germann, R., Gröbe-Boxdorfer, B., Engeln, W., Matthiesen, S. (2022). User-Centered Design – Evolution of an Interdisciplinary Process Approach Utilizing Empirical Research Methods. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_56

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  • DOI: https://doi.org/10.1007/978-3-030-85540-6_56

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