2022
DOI: 10.1007/978-3-030-98015-3_5
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User Acceptance of Cognitive Assistance Systems in Smart Factories

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Cited by 1 publication
(7 citation statements)
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“…The preferences made by the participants were directly counted from the single/multiple choices and thematically sorted for evaluation. Columns 2 to 5 in Tables 4-15 show each of the counted values, when asking the sample to choose across the different design options the one(-s) to cover best each of the related acceptance factors, whereas in Table 16 a final calculation for the overall preferences within each assistance aspect can be derived from merging all preference results with the importance ratings for each factor (calculated previously in Pokorni and Saba (2022) and displayed in the upper left side in bold and brackets, column 1, in Tables 4-15).…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…The preferences made by the participants were directly counted from the single/multiple choices and thematically sorted for evaluation. Columns 2 to 5 in Tables 4-15 show each of the counted values, when asking the sample to choose across the different design options the one(-s) to cover best each of the related acceptance factors, whereas in Table 16 a final calculation for the overall preferences within each assistance aspect can be derived from merging all preference results with the importance ratings for each factor (calculated previously in Pokorni and Saba (2022) and displayed in the upper left side in bold and brackets, column 1, in Tables 4-15).…”
Section: Numerical Resultsmentioning
confidence: 99%
“…To attempt closing the gap and fulfiling the objectives of this research, the approach consists of making use of previously collected results of Pokorni and Saba (2022), on numeric importance orders of through literature-(metanalysis) and empirical-based methods (survey) as relevant-founded acceptance factors of cognitive assistance system in manufacturing. Combining those results with new numeric estimations within the same sample (potential future users of the systems) of the fulfilment of the validated acceptance factors by different technical design options should lead to further conclusions.…”
Section: Methodsmentioning
confidence: 99%
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