Advertisement

Validation of the Computer Literacy Scale (CLS)

  • Michael SengpielEmail author
  • Nicole Jochems
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9193)

Abstract

Successful use of ICT requires domain knowledge and interaction knowledge. It shapes and is shaped by the use of ICT and is less common among older adults. This paper focus on the validation of the computer literacy scale (CLS) introduced by [14]. The CLS is an objective knowledge test of ICT-related symbols and terms commonly used in the graphical user interface of interactive computer technology. It has been designed specifically for older adults with little computer knowledge and is based on the idea that knowing common symbols and terms is as necessary for using computers, as it is for reading and writing letters and books. In this paper the Computer literacy scale is described and compared with related measures for example computer expertise (CE), Computer Proficiency (CPQ) and computer anxiety (CATS). In addition criterion validity is described with predictions of successful ICT use exemplified with (1) the use of different data entry methods and (2) the use of different ticket vending machine (TVM) designs.

Keywords

Computer literacy Computer experience Computer proficiency Measurement Questionnaire Validation 

Notes

Acknowledgments

We thank all those involved in the development of the CLS, especially Diana Dittberner, Nadezda Arsenyeva, Susan Götzinger, Maria Spiering and Nico Zeissig.

References

  1. 1.
    Arning, K., Ziefle, M.: Development and validation of a computer expertise questionnaire for older adults. Behav. Inf. Technol. 27(1), 89–93 (2008)CrossRefGoogle Scholar
  2. 2.
    Boot, W.R., Charness, N., Czaja, S.J., Sharit, J., Rogers, W.A., Fisk, A.D., et al.: Computer Proficiency Questionnaire: Assessing Low and High Computer Proficient Seniors (2013). Gerontologist.Oxfordjournals.org
  3. 3.
    Beier, G.: Kontrollüberzeugung um Umgamg mit Technik. Rep. Psychol. 24(9), 684–693 (1999)Google Scholar
  4. 4.
    Chin, J.P., Diehl, V.A., Norman, L.K.: Development of an Instrument Measuring User Satisfaction of the Human-Computer Interface. the sigchi conference, pp. 213–218. ACM Press, New York (1988)Google Scholar
  5. 5.
    DIN ISO: ISO 9241–2010:2010 – Ergonomics of human-computer interaction- Part 210: Human-centred design for interactive systems (2010). Iso.org
  6. 6.
    Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behaviour: An Introduction to Theory and Researcg. Addison-Wesley, Reading (1975)Google Scholar
  7. 7.
    Gaudron, J.-P., Vignoli, E.: Assessing computer anxiety with the interaction model of anxiety: development and validation of the computer anxiety trait subscale. Comput. Hum. Behav. 18(3), 315–325 (2002)CrossRefGoogle Scholar
  8. 8.
    Jochems, N.: Altersdifferenzierte Gestaltung der Mensch-Rechner-Interaktion am Beispiel von Projektmanagementaufgaben, In: Schlick, C. (Hrsg.) Schriftenreihe Industrial Engineering and Ergonomics, Dissertation RWTH Aachen. Shaker Verlag, Aachen (2010)Google Scholar
  9. 9.
    Jochems, N., Vetter, S., Schlick, C.: A comparative study of information input devices for aging computer users. Behav. Inf. Technol. 32(9), 902–919 (2013)CrossRefGoogle Scholar
  10. 10.
    Karavidas, M., Lim, N.K., Katsikas, S.L.: The effects of computers oon older adult users. Comput. Hum. Bahav. 21, 697–711 (2005)CrossRefGoogle Scholar
  11. 11.
    Richter, T., Naumann, J., Groeben, N.: Das Inventar zur Computerbildung (INCOBI): Ein Instrument zur Erfassung von Computer Literacy und computerbezogenen Einstellungen bei Studierenden der Geistes- und Sozialwissenschaften. [The computer literacy inventory: an instrument for the assessment of computer literacy and computer-related attitudes in students of humanities and social sciences]. Psychologie in Erziehung und Unterricht 48, 1–13 (2001)Google Scholar
  12. 12.
    Sengpiel, M.: User characteristics and the effectiveness of inclusive design for older users of public access systems. Dissertation an der Humboldt-Universität zu Berlin (2015)Google Scholar
  13. 13.
    Sengpiel, M.: Teach or design? how older adults’ use of ticket vending machines could be more effective. Trans. Accessible Comput. (in press)Google Scholar
  14. 14.
    Sengpiel, M., Dittberner, D.: The computer literacy scale (CLS) for older adults – development and validation. In: Herczeg, M., Kindsmüller, M.C. (eds.) Presented at Mensch & Computer 2008: Viel Mehr Interaktion, pp. 7–16. Oldenbourg Verlag, München (2008)Google Scholar
  15. 15.
    Wagner, N., Hassanein, K., Head, M.: Computer use by older adults: a multi-disciplinary review. Comput. Hum. Bahav. 26(5), 870–882 (2010)CrossRefGoogle Scholar
  16. 16.
    Zeissig, N.: Entwurf und Umsetzung einer webbasierten Diagnoseplattform zur Erhebung von deklarativem und prozeduralem Interaktionswissen. Unpublished mather’s thesis, Humboldt-Universität zu Berlin (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institut für Multimediale und Interaktive SystemeUniversität zu LübeckLübeckGermany

Personalised recommendations