Comparing the Sensor Glove and Questionnaire as Measures of Computer Anxiety

Tlholohelo Nkalai, Lizette de Wet, Robert Schall


Contradictory findings are reported in the literature concerning computer anxiety and how it affects the performance of individuals executing computer-related tasks. The discrepancies in the findings could be caused by the sole use of computer anxiety questionnaires. The aims of the present study were to establish whether using a sensor glove provided complementary information to an existing computer anxiety questionnaire; and to compare the computer anxiety of participants using a sensor glove and an anxiety questionnaire with relation to performance. The study results suggest that the sensor glove and the anxiety questionnaire provided different information concerning participants’ anxiety before and after performing tasks on the computer. A negative correlation between computer anxiety and performance was found using both the sensor glove measurements and the computer anxiety scores. It is concluded that the sensor glove possibly measures a different variable from the anxiety questionnaire and further research is necessary in that regard. Additionally, it is concluded that the higher an individual’s levels of anxiety, the poorer he/she performed on the assessment.


  1. Appelbaum, S. H. and Primer, B., 1990. An HRx for computer anxiety. Personnel, 67(9), pp.8-11.
  2. Aziz, S. and Hassan, H., 2012. A study of computer anxiety of higher secondary students in Punjab. International Journal of Social Sciences & Education, 2(2), pp.264-273.
  3. Barreto, A., 2008. Non-intrusive physiological monitoring for affective sensing of computer users. New Developments, 85, pp.85-100.
  4. Beckers, J. J. and Schmidt, H. G., 2001. The structure of computer anxiety: A six-factor model. Computers in Human Behavior, 17, pp.35-49.
  5. Beckers, J. J. and Schmidt, H. G., 2003. Computer experience and computer anxiety. Computers in Human Behavior, 19, 785-797.
  6. Beckers, J. J., Rikers, R. M. and Schmidt, H. G., 2006. The influence of computer anxiety on experienced computer users while performing complex computer tasks. Computers in Human Behavior, 22(3), pp.456- 466.
  7. Beckers, J. J., Wicherts, J. M. and Schmidt, H. G. (2007). Computer anxiety: “Trait” or “state”? Computers in Human Behavior, 23, pp.2851-2862.
  8. Blignaut, P., Burger, A., McDonald, T. and Tolmie, J., 2005. Computer attitude and anxiety. In M. KhosrowPour, ed. Encyclopedia of Information Science and Technology. Hershey: Idea Group Publishing. pp.495- 501.
  9. Cambre, M. A. and Cook, D. L., 1987. Measurement and remediation of computer anxiety. Educational Technology, 27 (12), pp.15-20.
  10. Chua, S. L., Chen, D. and Wong, A. F. L., 1999. Computer anxiety and its correlates: A meta-analysis. Computers in Human Behavior, 15, pp.609-623.
  11. Critchley, H. D., 2002. Book review: Electrodermal responses: What happens in the brain? Neuroscientist, 8(2), pp.132-142.
  12. Dirican, A. C. and Göktürk, M. 2011. Psychophysiological measures of human cognitive states applied in human computer interaction. Procedia Computer Science, 3, pp.1361-1367.
  13. Glaister, K., 2007. The presence of mathematics and computer anxiety in nursing students and their effects on medication dosage calculations. Nurse Education Today, 27(4), pp.341-347.
  14. Heinssen, R. K. J., Glass, C. R. and Knight. L. A., 1987. Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Computers in Human Behavior, 3(1), pp.49-59.
  15. Hismanoglu, M., 2011. The elicitation of prospective EFL teachers' computer anxiety and attitudes. International Online Journal of Educational Sciences, 3(3), pp.930- 956.
  16. Isen, A. M. and Erez, A. 2006. Some measurement issues in the study of affect. In A. Ong, & H. M. van Dulman, eds. Oxford Handbook of Methods in Positive Psychology New York. USA: Oxford University Press. pp.250-265.
  17. Kaiser, R. and Oertel, K., 2006. Emotions in HCI: An affective e-learning system. Paper presented at the 2006 HCSNet Workshop on the Use of Vision in HCI. Canberra, Australia, 01 November.
  18. Karavidas, M., Lim, N. K. and Katsikas, S. L., 2005. The effects of computers on older adult users. Computers in Human Behavior 21(5), pp.697-711.
  19. Kivikangas, J. M., Chanel, G., Cowley, B., Ekman, I., Salminen, M., Järvelä, S. and Ravaja, N., 2011. A review of the use of psychophysiological methods in game research. Journal of Gaming & Virtual Worlds, 3(3), pp.181-199.
  20. Korobili, S., Togia, A. and Malliari, A., 2010. Computer anxiety and attitudes among undergraduate students in Greece. Computers in Human Behavior, 26(3), pp.399-405.
  21. Lin, T. and Hu, W., 2005. Do physiological data relate to traditional usability indexes? Paper presented at the Proceedings of the OZCHI 2005. Canberra, Australia, 23-25 November.
  22. Longe, O. B. and Uzoma, O. V., 2007. Technophobia and its impact on adults learning to use computers in south western Nigeria. Journal of Information Technology Impact, 7(1), pp.81-90.
  23. Mayo Clinic, 2012. Anxiety. [online] Available at: < /DSECTION=symptoms> [Accessed 27 November 2013].
  24. Merrill, D. B., 2013. Stress and anxiety. [online] Available at: < es/9951> [Accessed 26 November 2013].
  25. Olufemi, O. A. and Oluwatayo, O. J., 2014. Computer anxiety and computer knowledge as determinants of candidates' performance in computer-based test in Nigeria. British Journal of Education, Society & Behavioural Science, 4(4), pp.495-507.
  26. Parayitam, S., Desai, K. J., Desai, M. S. and Eason, M. K., 2010. Computer attitude as a moderator in the relationship between computer anxiety, satisfaction, and stress. Computers in Human Behavior, 26(3), pp.345-352.
  27. Peter C., et al., 2007. EREC-II in use - Studies on usability and suitability of a sensor system for affect detection and human performance monitoring. In J. Jacko ed. Human- Computer Interaction, Part III, HCII 2007, LNCS 4552. Heidelberg: Springer-Verlag. pp.465-474.
  28. Picard, R. W. and Healey, J., 1997. Affective wearables. Personal Technologies, 1(4), pp.231-240.
  29. Picard, R. W. and Scheirer, J., 2001. The galvactivator: A glove that senses and communicates skin conductivity. Paper presented at the Proceedings of the 9th International Conference on Human-Computer Interaction. New Orleans, USA, 05-10 August.
  30. Princeton University, 2013. Wordnet - A lexical database for English. [online] Available at: < anic skin response> [Accessed 26 November 2013].
  31. Rogge, T., 2011. Stress and anxiety. [Online]. Available at: < 3211.htm> [Accessed 27 November 2013].
  32. SwordMedical, 2010. Introducing the enhanced bodymedia sensewear system. [online] Available at: < e/Body%20Media/SW- brochure.pdf> [Accessed 13 March 2011].
  33. Ursavas, Ö. F. and Teo, T., 2011. A multivariate analysis of the effect of gender on computer anxiety among elementary school teachers. British Journal of Educational Technology, 42(2), pp.E19-E20.

Paper Citation

in Harvard Style

Nkalai T., de Wet L. and Schall R. (2015). Comparing the Sensor Glove and Questionnaire as Measures of Computer Anxiety . In Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-085-7, pages 93-103. DOI: 10.5220/0005229800930103

in Bibtex Style

author={Tlholohelo Nkalai and Lizette de Wet and Robert Schall},
title={Comparing the Sensor Glove and Questionnaire as Measures of Computer Anxiety},
booktitle={Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,},

in EndNote Style

JO - Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Comparing the Sensor Glove and Questionnaire as Measures of Computer Anxiety
SN - 978-989-758-085-7
AU - Nkalai T.
AU - de Wet L.
AU - Schall R.
PY - 2015
SP - 93
EP - 103
DO - 10.5220/0005229800930103