2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2014
DOI: 10.1109/smc.2014.6974381
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Effects of transparency on the acceptance of automated resolution advisories

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Cited by 15 publications
(17 citation statements)
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“…In the literature, one can find several definition of the concept of "transparency": "giving explanations of results" [9,10,15,20,26,28,33,36], "having a reasoning process comprehensible and interpretable by users" [1,11,12,24,27,34], "being able to trace-back all data used in the process" [2][3][4]16,40], but also "being able to take into account feedbacks of users" [7,40]. Individually, each of the above definitions highlights an aspect of the concept of "transparency" of classification systems, but do not capture all aspects of "transparent" classification systems in our context.…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, one can find several definition of the concept of "transparency": "giving explanations of results" [9,10,15,20,26,28,33,36], "having a reasoning process comprehensible and interpretable by users" [1,11,12,24,27,34], "being able to trace-back all data used in the process" [2][3][4]16,40], but also "being able to take into account feedbacks of users" [7,40]. Individually, each of the above definitions highlights an aspect of the concept of "transparency" of classification systems, but do not capture all aspects of "transparent" classification systems in our context.…”
Section: Introductionmentioning
confidence: 99%
“…Since the CRA has not been applied in the current A TC workplace, this research was conducted to gather preliminary information in the CRA context. Using students as participants also well fitted with the explanatory nature of the present study (Goritzlehner et al, 2014). However, more empirical studies examining the proposed CRA using active A TCOs should be conducted in the future.…”
Section: Limitations and Future Directionsmentioning
confidence: 56%
“…Percentage of correct trials has been typically used to evaluate the effects of visual display, automated decision aids, training, and tasks. Accuracy can also be measured using error, for example through error rate (Hunt, 2013), number of errors (Goritzlehner et al, 2014), and false alarm and miss rate (Imbert et al, 2014;Sanchez, Rogers, Fisk, & Rovira, 2014). Errors are classified into two categories: omission and commission errors .…”
Section: Performancementioning
confidence: 99%
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