Abstract
Intelligent systems are not a new concept. It is generally accepted that the term ‘artificial intelligence’ or AI was first coined by Professor John McCarthy in 1956 and prior to that Alan Turing introduced what became known as the Turing Test in his 1950 paper, The Imitation Game. Given this relative longevity, it is perhaps surprising that the uptake of AI based systems in some sectors such as healthcare and education has been limited. This paper considers the deployment of an intelligent system in an educational context and proposes a model to inform the design of such based upon the relationship between trust and acceptance.
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Notes
- 1.
The Mantel-Haenszel test of trend is used to determine whether there is a linear trend (i.e., a linear relationship/association) between the two related ordinal variables that are represented in a crosstabulation table.
- 2.
The Pearson test was recommended as the appropriate test to measure the strength of the correlation between the variable once a linear association had been established using a Mantel-Haenszel test of trend despite the data being ordinal and non-parametric. Spearman’s rank-order correlation tests were also conducted and produced significant results in line with the results generated by the Pearson test.
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Parsonage, G., Horton, M., Read, J. (2023). Trust Acceptance Mapping - Designing Intelligent Systems for Use in an Educational Context. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science, vol 14044. Springer, Cham. https://doi.org/10.1007/978-3-031-34735-1_3
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