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The role of reproducibility in affective computing

机译:可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:情感计算在医学领域的使用正在获得发展,但由于对个人敏感数据进行固有处理而产生的要求受到了挑战,这将影响综合分析的可重复性。可重复性是良好研究实践中的关键要素,也是在医学环境中全面验证AC应用的关键要素。通过建立概念基础(定义和建模)并通过技术支持,已经进行了各种研究来支持可再现的分析程序。但是,通常难以实现。因此,正如我们在EC共同资助的SenseCare项目过程中所面对的那样,此次研讨会的贡献将详细阐述和记录与医学领域中情感计算相关的可重复性方面。该贡献是在AC中进行进一步讨论和与再现性相关的研究的起点。

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