and explore satisfaction (Bastien, 2010). The purpose
of scoring emotions during the thinking aloud tests
and task solving process is that the users do not have
to remember which emotions they experienced during
the task and to what degree they experienced these
emotions. They were instead encouraged to express
them while they felt them (Fontaine et al., 2013).
A study on mobile applications showed that
degree of satisfaction is directly associated with
functionality, such as the amount of user errors and
navigational errors (Saleh et al., 2017). Their finding
conforms to this study, in which the number of
navigational dead ends and other errors resulted in
low functionality and satisfaction scores.
Other studies have explored usability aspects in a
quantitative manner using various methods. Aziz et
al. (2018) measured the role of satisfaction. They
used a survey to quantify users’ perceptions, feeling,
opinions and thoughts. The emotional wheel method
provided the opportunity to analyse and continuously
identify subjective emotions while testing the ICT
solution. Qualitative interviews primarily explore
explanations for evoked emotions.
Regarding efficiency, it was found that the
solution was easier to operate for users who were
accustomed to ICT solutions. This result is in
accordance with the result of Aiyegbusi et al. (2018),
who found that users who were used to navigating the
internet were much faster and made fewer errors
when solving tasks than users who were not familiar
with navigating the internet (Aiyegbusi et al., 2018).
5 CONCLUSION
The aim of this article is to contribute a method of
testing usability and present the results when this
method is used for testing usability of the iCareCoops
products.
The methods used in this study were paper
prototype testing, expert tests, thinking aloud tests
and the collection of emotional reactions using
emotional wheel scores. The test design was found
useful when testing the iCareCoops web solution.
All in all, experts mainly found technical related
errors and bugs. The other test results were
categorised in terms of functionality, efficiency and
satisfaction. The representative end users were
positive in general but suggested improvements and
identified a number of challenges, mainly in the
functionality category. Emotions ranged from
happiness and joy, especially after successfully
completing a task, to anger and frustration when
obstacles occurred.
Testing this kind of management systems it is
useful to combine several methods in order to get
insightful perspective of the users experience, needs
and emotions.
REFERENCES
Aiyegbusi, O.L., Kyte, D., Cockwell, P., Marshall, T.,
Dutton, M., Walmsley-Allen, N., Auti, R., Calvert, M.,
2018. Development and usability testing of an electronic
patient-reported outcome measure (ePROM) system for
patients with advanced chronic kidney disease. Comput.
Biol. Med. 101, 120–127. https://doi.org/10.1016/
j.compbiomed.2018.08.012
Aziz, N.S., Kamaludin, A., 2018. Measuring Website
Usability Construct as Second Order Construct in
Website Usability Model. Adv. Sci. Lett. 24, 7727–7731.
https://doi.org/10.1166/asl.2018.13007
Aziz, N.S., Kamaludin, A., Sulaiman, N.S., Yacob, A., 2018.
Measuring the Role of Satisfaction in Website Usability
Model. Adv. Sci. Lett. 24, 7762–7768. https://doi.org/
10.1166/asl.2018.13014
Bastien, J.M.C., 2010. Usability testing: a review of some
methodological and technical aspects of the method. Int.
J. Med. Inf. 79, e18–e23. https://doi.org/10.1016/
j.ijmedinf.2008.12.004
Fontaine, J.J.R., Scherer, K.R., Soriano, C. (Eds.), 2013.
Components of emotional meaning: a sourcebook, Series
in affective science. Oxford University Press, Oxford.
Gregersen, O., Wisler-Poulsen, I., 2013. Usability: test
methods for making usable websites. Grafisk Litteratur,
Copenhagen.
Hametner, M., Adelman, R. (Eds.), 2012. Figures for the
future: 20 years of sustainable development in Europe?;
a guide for citizens, 2012 ed. ed, Statistical books /
Eurostat. Publications Office of the European Union,
Europäische Kommission, Luxembourg.
Malterud, K., 2012. Systematic text condensation: A strategy
for qualitative analysis. Scand. J. Public Health 40, 795–
805. https://doi.org/10.1177/ 1403494812465030
Nielsen, J., 1993. Usability engineering. Morgan Kaufmann,
San Diego, Calif.
Nielsen, J., Landauer, T.K., 1993. A mathematical model of
the finding of usability problems. ACM Press, pp. 206–
213. https://doi.org/10.1145/169059.169166
Rubin, J., Chisnell, D., 2008. Handbook of Usability Testing:
Howto Plan, Design, and Conduct Effective Tests. John
Wiley & Sons, Inc., Hoboken.
Saleh, A.M., Ismail, R., Fabil, N., Norwawi, N.M., Wahid,
F.A., 2017. Measuring Usability: Importance Attributes
for Mobile Applications. Adv. Sci. Lett. 23, 4738–4741.
https://doi.org/10.1166/asl.2017.8879
Sefelin, R., Tscheligi, M., Giller, V., 2003. Paper prototyping
- what is it good for?: a comparison of paper- and
computer-based low-fidelity prototyping. ACM Press, p.
778. https://doi.org/10.1145/ 765891.765986