You Can(’t) Teach an Old Dog New Tricks: Analyzing the Learnability of Manufacturing Software Systems in Older Users

  • Katrin ArningEmail author
  • Simon Himmel
  • Martina Ziefle
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9755)


Modern manufacturing processes are based on complex computer-aided planning processes, which are provided by CAM (computer-aided manufacturing)-software systems. Due to increased functional capabilities of CAM software, the complexity of these systems and the demands on CAM users are rising. Facing the demographic change (cognitively aging users, retiring of experienced CAM experts who are succeeded by inexperienced users), not only general learnability issues but also user-specific requirements are becoming increasingly important. An online-survey focusing on the learnability of CAM-software, and existing learning environments and strategies in manufacturing practice was conducted (n = 76) and effects of age and CAM expertise were analyzed. Implications for CAM skill acquisition among users of different age and expertise groups were derived.


Computer-aided manufacturing software User diversity Age Expertise Learnability Training Survey 



We owe gratitude to Conrad Schnöckel and Sarah Völkel for research support.


  1. 1.
    Dankwort, C.W., Weidlich, R., Guenther, B., Blaurock, J.E.: Engineers’ CAx education—it’s not only CAD. Comput. Aided Des. 36, 1439–1450 (2004)CrossRefGoogle Scholar
  2. 2.
    Hunt, V.D.: Computer-Integrated Manufacturing Handbook. Springer Science & Business Media, Berlin (2012)Google Scholar
  3. 3.
    Nielsen, J.: Usability Engineering. Elsevier, Philadelphia (1994)zbMATHGoogle Scholar
  4. 4.
    Shneiderman, B., Plaisant, C.: Designing the User Interface: Strategies for Effective Human-Computer Interaction. Addison-Wesley, Boston (2010)Google Scholar
  5. 5.
    Carroll, J.M., Mack, R.L., Lewis, C.H., Grischkowsky, N.L., Robertson, S.R.: Exploring exploring a word processor. Hum. Comput. Interact. 1, 283–307 (1985)CrossRefGoogle Scholar
  6. 6.
    Ziefle, M.: The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones. Behav. Inf. Technol. 21, 303–311 (2002)CrossRefGoogle Scholar
  7. 7.
    Kelley, C., Charness, N.: Issues in training older adults to use computers. Behav. Inf. Technol. 14, 107–120 (1995)CrossRefGoogle Scholar
  8. 8.
    Hawthorn, D.: Possible implications of aging for interface designers. Interact. Comput. 12, 507–528 (2000)CrossRefGoogle Scholar
  9. 9.
    Nunes, A., Kramer, A.F.: Experience-based mitigation of age-related performance declines: evidence from air traffic control. J. Exp. Psychol. Appl. 15, 12–24 (2009)CrossRefGoogle Scholar
  10. 10.
    Carroll, J.M., Carrithers, C.: Training wheels in a user interface. Commun. ACM 27, 800–806 (1984)CrossRefGoogle Scholar
  11. 11.
    Gold, S.: A constructivist approach to online training for online teachers. J. Asynchronous Learn. Netw. 5, 35–57 (2001)Google Scholar
  12. 12.
    Arning, K., Ziefle, M.: Ask and you will receive: training novice adults to use a PDA in an active learning environment. Int. J. Mob. Hum. Comput. Interact. 2, 21–47 (2010)CrossRefGoogle Scholar
  13. 13.
    Mayhorn, C.B., Stronge, A.J., McLaughlin, A.C., Rogers, W.A.: Older adults, computer training, and the systems approach: a formula for success. Educ. Gerontol. 30, 185–203 (2004)CrossRefGoogle Scholar
  14. 14.
    Glaser, R., Chi, M.T., Farr, M.J.: The Nature of Expertise. Lawrence Erlbaum Associates, Abingdon (1988)zbMATHGoogle Scholar
  15. 15.
    Czaja, S.J., Sharit, J.: Age differences in the performance of computer-based work. Psychol. Aging 8, 59–67 (1993)CrossRefGoogle Scholar
  16. 16.
    Arning, K., Ziefle, M.: Effects of age, cognitive, and personal factors on PDA menu navigation performance. Behav. Inf. Technol. 28, 251–268 (2009)CrossRefGoogle Scholar
  17. 17.
    Maurer, T.J.: Career-relevant learning and development, worker age, and beliefs about self-efficacy for development. J. Manag. 27, 123–140 (2001)Google Scholar
  18. 18.
    Barnard, Y., Bradley, M.D., Hodgson, F., Lloyd, A.D.: Learning to use new technologies by older adults: perceived difficulties, experimentation behaviour and usability. Comput. Hum. Behav. 29, 1715–1724 (2013)CrossRefGoogle Scholar
  19. 19.
    Ellström, P.-E.: Informal learning at work: Conditions, processes and logics. In: Malloch, M., Cairns, L., Evans, K., O’Connor, B.N. (eds.) The SAGE Handbook Workplace Learning, pp. 105–119. SAGE Publication, London (2011)CrossRefGoogle Scholar
  20. 20.
    García-Peñalvo, F.J., Colomo-Palacios, R., Lytras, M.D.: Informal learning in work environments: training with the social web in the workplace. Behav. Inf. Technol. 31, 753–755 (2012)CrossRefGoogle Scholar
  21. 21.
    IEC, I.: 9126-1: Software Engineering–Qualität von Softwareprodukten-Teil 1: Qualitätsmodell. Int. Stand. Organ. Berl. Beuth Verl. (2001)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Human-Computer-Interaction CenterRWTH Aachen UniversityAachenGermany

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