第五届野外多模态数据建模社会情绪和认知过程研讨会(MSECP-Wild)

Bernd Dudzik, Tiffany Matej Hrkalovic, Dennis Küster, David St-Onge, Felix Putze, Laurence Devillers
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引用次数: 0

摘要

自动推断人类用户思想和感受的相关方面的能力对于在复杂交互中智能地调整他们的行为的技术至关重要。对多模态分析的研究已经证明了为广泛的内部状态和过程提供这种估计的技术潜力。然而,在实际应用程序中构建健壮的部署方法仍然是一个有待解决的问题。MSECP-Wild系列研讨会是一个多学科论坛,旨在介绍和讨论应对这一挑战的研究。提交到第五次迭代的内容涵盖了与多模态数据收集、建模和应用程序相关的工作。此外,我们的研讨会计划建立在先前迭代中出现的讨论的基础上,强调了在构建和部署技术建模野外内部状态时的道德考虑。为此,我们举办了一系列相关的主题演讲和互动活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The 5th Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild (MSECP-Wild)
The ability to automatically infer relevant aspects of human users’ thoughts and feelings is crucial for technologies to intelligently adapt their behaviors in complex interactions. Research on multimodal analysis has demonstrated the potential of technology to provide such estimates for a broad range of internal states and processes. However, constructing robust approaches for deployment in real-world applications remains an open problem. The MSECP-Wild workshop series is a multidisciplinary forum to present and discuss research addressing this challenge. Submissions to this 5th iteration span efforts relevant to multimodal data collection, modeling, and applications. In addition, our workshop program builds on discussions emerging in previous iterations, highlighting ethical considerations when building and deploying technology modeling internal states in the wild. For this purpose, we host a range of relevant keynote speakers and interactive activities.
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