Requirements engineering (RE) plays a crucial role in developing software systems by bridging the gap between stakeholders' needs and system specifications. However, effective communication and elicitation of stakeholder requirements can be challenging, as traditional RE methods often overlook emotional cues. This paper introduces a multi-modal emotion recognition platform (MEmoRE) to enhance the requirements engineering process by capturing and analyzing the emotional cues of stakeholders in real-time. MEmoRE leverages state-of-the-art emotion recognition techniques, integrating facial expression, vocal intonation, and textual sentiment analysis to comprehensively understand stakeholder emotions. This multi-modal approach ensures the accurate and timely detection of emotional cues, enabling requirements engineers to tailor their elicitation strategies and improve overall communication with stakeholders. We further intend to employ our platform for later RE stages, such as requirements reviews and usability testing. By integrating multi-modal emotion recognition into requirements engineering, we aim to pave the way for more empathetic, effective, and successful software development processes. We performed a preliminary evaluation of our platform. This paper reports on the platform design, preliminary evaluation, and future development plan as an ongoing project.

翻译：需求工程（RE）通过弥合利益相关者需求与系统规范之间的鸿沟，在软件开发系统中发挥着关键作用。然而，有效沟通和获取利益相关者需求可能具有挑战性，因为传统的RE方法常忽视情感线索。本文引入了一个多模态情感识别平台（MEmoRE），通过实时捕获和分析利益相关者的情感线索来增强需求工程过程。MEmoRE利用前沿的情感识别技术，整合面部表情、语音语调和文本情感分析，全面理解利益相关者的情感。该多模态方法确保准确及时地检测情感线索，使需求工程师能够调整其诱导策略，改善与利益相关者的整体沟通。我们进一步计划将该平台应用于后续RE阶段，例如需求评审和可用性测试。通过将多模态情感识别融入需求工程，我们旨在为更具共情力、更高效且更成功的软件开发过程铺平道路。我们已对平台进行了初步评估。本文作为一项进行中的项目，报告了平台设计、初步评估及未来开发计划。