Towards incorporating affective feedback into context-aware intelligent environments

D. Saha, Thomas L. Martin, R. Benjamin Knapp
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引用次数: 10

Abstract

Determining the relevance of services from intelligent environments is a critical step in implementing a reliable context-aware ambient intelligent system. Designing the provision of explicit indications to the system is effective in communicating this relevance, however, such explicit indications come at the cost of user's cognitive resources. In this work, we strive to create a novel pathway of implicit communication between the user and their ambient intelligence by employing user's stress as a feedback pathway to the intelligent system. In addition, following a few very recent works, we propose using proven laboratory stressors to collect ground truth data for stressed states. We present results from a preliminary pilot study which shows promise for creating this implicit channel of communication as well as proves the feasibility of using laboratory stressors as a reliable method of ground truth collection for stressed states.
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将情感反馈整合到上下文感知的智能环境中
确定来自智能环境的服务的相关性是实现可靠的上下文感知环境智能系统的关键步骤。设计向系统提供明确的指示可以有效地传达这种相关性,然而,这种明确的指示是以用户的认知资源为代价的。在这项工作中,我们努力通过使用用户的压力作为智能系统的反馈途径,在用户和他们的环境智能之间创建一种新的隐式通信途径。此外,根据最近的一些工作,我们建议使用经过验证的实验室压力源来收集压力状态的地面真实数据。我们提出了一项初步试点研究的结果,该研究显示了创建这种隐式通信通道的希望,并证明了使用实验室压力源作为压力状态下地面真相收集的可靠方法的可行性。
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