Comparison of user satisfaction between Text and Virtual Reality Based Expert Systems for diagnosing cattle diseases

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.