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The role of reproducibility in affective computing

机译:再现性在情感计算中的作用

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The use of Affective Computing in the medical domain is gaining momentum, but is challenged through requirements arising through the inherent processing of personal sensitive data, that will effect comprehensive analysis reproducibility. Reproducibility is a key element in good research practice and a key ingredient to comprehensively validate AC applications in a medical context. Various research has been undertaken to support reproducible analysis procedures through the establishment of a conceptual basis (definition and modeling) and by means of technology support. However, its realization is generally hardly achievable. Therefore, this workshop contribution will elaborate and document on reproducibility aspects related to Affective Computing in the medical domain, as we face it in the course of the EC co-funded SenseCare project. This contribution is meant as a starting point for further discussions and further reproducibility related research in AC.
机译:在医学领域中使用情感计算正在获得势头,但通过通过个人敏感数据的固有处理而产生的要求受到挑战,这将实现全面的分析再现性。再现性是良好的研究实践中的关键因素,以及在医学环境中全面验证交流应用的关键因素。已经通过建立概念依据(定义和建模)以及通过技术支持来支持各种研究以支持可重复的分析程序。然而,它的实现通常很难实现。因此,本讲习班的贡献将详细说明和记录医疗领域中与情感计算有关的可重复性方面,因为我们在EC共同资助的SenseCare项目的过程中面对它。这一贡献是作为进一步讨论和进一步重现性相关研究的起点。

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