Toward an affective intelligent machine system: theory and application

走向情感智能机器系统：理论与应用

• 批准号: 203437-2007
• 负责人: Zhang, Chris
• 金额: $ 1.78万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=362689
• 关键词: Toward; affective; intelligent; machine; system

Intelligent machine systems refer to machines that can exhibit the traits found in humans, such as learning, reasoning, decision-making, sensing, and adaptation. The contemporary intelligent machine system has excluded emotion, which thus fundamentally compromises the degree of intelligence within the system because the emotion affects our capability of information processing, decision making, and memory. This research program aims to develop a better understanding of what and how the emotion affects our decision making process. The research will be conducted in two typical application domains (i.e., driver-vehicle and elderly-robot systems) in order to demonstrate the generality of the proposed research; they are chosen due to their broad impact to our society.    There are two general questions to be answered through this research program. The first question is what would be some significant effect on the human behavior when the machine he or she interacts with has emotion and shows its emotion. The second question is how the machine and human co-control a human-machine system to further improve its performance.    The proposed research will generate knowledge to answer these questions. Specifically, we will first develop a methodology to construct the emotional expression of a machine to be the same as that of a human and examine how this emotional expression affects the human emotion and cognition. Second, we develop several models that can represent the relationship between the emotion and performance of the human when he or she interacts with the machine. Last, we develop methodologies for the machine to intelligently assist the human in controlling the human-machine system; assistances include more understanding of what happens in the machine, offering advisory message, and taking actions over the human when needed.    Intellectually, this research will further advance our knowledge on building intelligent machine systems. This research will generate great social benefits to public safety and health.

智能机器系统是指能够表现出人类特征的机器，例如学习，推理，决策，感知和适应。当代智能机器系统已经排除了情感，这从根本上损害了系统内的智能程度，因为情感影响了我们的信息处理，决策和记忆能力。这项研究计划旨在更好地了解情绪是什么以及如何影响我们的决策过程。研究将在两个典型的应用领域进行（即，驾驶员-车辆和老年人-机器人系统），以证明所提出的研究的一般性;选择它们是因为它们对我们社会的广泛影响。 通过这项研究计划，有两个一般性问题需要回答。第一个问题是，当他或她与之交互的机器具有情感并表现出情感时，会对人类行为产生什么重大影响。第二个问题是机器和人如何共同控制人机系统，以进一步提高其性能。 拟议的研究将产生知识来回答这些问题。具体来说，我们将首先开发一种方法来构建机器的情感表达，使其与人类的情感表达相同，并研究这种情感表达如何影响人类的情感和认知。其次，我们开发了几个模型，可以代表人类的情感和性能之间的关系，当他或她与机器交互。最后，我们为机器开发方法，以智能地协助人类控制人机系统;协助包括更多地了解机器中发生的事情，提供咨询信息，并在需要时采取行动。 在智能上，这项研究将进一步推进我们对构建智能机器系统的认识。这项研究将对公共安全和健康产生巨大的社会效益。