Abstract—Even though usability testing of software
applications has been studied for decades, little empirical
researches have been conducted in Agriculture domain,
especially in comparing the usability of none- immersive virtual
reality and text based diagnosis expert systems for diagnosing
cattle diseases. A quasi -experimental research was conducted
in which 62 cattle farmers both commercial and subsistent used
either a non-virtual reality based (System A) or a text-based
(System B) expert systems to diagnose cattle diseases. An
attitude rating scale Software Usability Measurement
Inventory (SUMI) was used to collect data and the reactions
towards the expert-based systems. The measures were
efficiency, the affect, helpfulness of the system, controllability
system, and system Learnability. The results obtained from the
research indicated that the group of farmers using System A
was more satisfied as compared to those using system B.
Index Terms—Usability, human computer interaction,
non-immersive virtual reality, expert system, cattle diseases,
user satisfaction.
K. P. Nkabiti and M. Galani are with the Department of Computer Science
and Information Systems, Botswana International University of Science and
Technology, Palapye, Botswana (e-mail:
kabo.nkabiti@studentmail.biust.ac.bw, galanim@biust.ac.bw).
A. M. Zungeru is with the Department of Electrical, Computer and
Telecommunication Engineering, Botswana International University of
Science and Technology, Palapye, Botswana (e-mail:
zungerum@biust.ac.bw).
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Cite: Kabo Nkabiti, Malatsi Galani, and Adamu Murtala Zungeru, "Comparison of User Satisfaction between Text and Virtual Reality Based Expert Systems for Diagnosing Cattle Diseases," International Journal of Information and Electronics Engineering vol. 7, no. 5, pp. 141-146, 2017.
