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Assessing the perceptibility of smartphone notifications in smart lighting spaces
Journal of Ambient Intelligence and Smart Environments ( IF 1.7 ) Pub Date : 2019-05-22 , DOI: 10.3233/ais-190525
Andreas Komninos 1 , Jeries Besharat 1 , Vassilios Stefanis 1 , Georgia Gogoulou 1 , John Garofalakis 1
Affiliation  

In smart spaces with connected smart lighting, there is an opportunity to deliver smartphone notifications using peripheral light, along with using standard smartphone modalities such as sound, vibration and LEDs, in order to help a user perceive them without constantly monitoring their mobile device. In this paper, we examine the effectiveness of on-device and extra-device modalities through smart lighting. We address a gap in literature by establishing a foundation that explains the role of modalities with which a notification is delivered on a mobile device. For this purpose, we conducted two ecologically valid and carefully designed experiments in a controlled environment that simulates multitasking in a smart home environment, and demonstrate that modality preferences are dependent on the environment context, by analysing subjective user data through a machine learning approach. We derive a set of guidelines for choosing notification modalities and set future research directions.

中文翻译:

评估智能照明空间中智能手机通知的可感知性

在具有连接的智能照明的智能空间中,有机会使用外围光以及使用标准的智能手机模式(例如声音,振动和LED)来传递智能手机通知,以帮助用户感知它们而无需不断监控他们的移动设备。在本文中,我们通过智能照明检查了设备上和设备外模式的有效性。我们通过建立一个基础来解决文学方面的空白,该基础解释了在移动设备上传递通知的方式的作用。为此,我们在受控环境中进行了两个生态有效且经过精心设计的实验,以模拟智能家居环境中的多任务处理,并证明模态偏好取决于环境背景,通过机器学习方法分析主观用户数据。我们推导了一套用于选择通知方式的指南,并设定了未来的研究方向。
更新日期:2019-05-22
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