E � ect of Distinct Ambient Noise Types on Mobile Interaction

E � ect of Distinct Ambient Noise Types on Mobile Interaction
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不同环境噪声类型对移动交互的影响

DOI:
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发表时间:
2018
期刊:
影响因子:
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通讯作者:
Jorge Gonçalves
Jorge Gonçalves
中科院分区:
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文献类型:
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作者:
Zhanna Sarsenbayeva;N. V. Berkel;Eduardo Velloso;V. Kostakos;Jorge Gonçalves

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环境噪声对人类的不利影响已在认知科学等领域得到广泛研究,表明对认知表现,行为和情绪状态有显著影响。令人惊讶的是,环境噪声的影响还没有在移动的交互的背景下进行研究。由于智能手机在设计上是无处不在的,智能手机用户在与他们的设备交互时暴露于各种各样的环境噪声。在本文中,我们对六种不同的环境噪声类型对典型智能手机使用任务的影响进行了结构化分析。所评估的环境噪声类型包括音乐、城市噪声和语音的变体。我们分析了任务完成时间和错误率,发现不同的环境噪声对用户的影响是不同的。例如,虽然语音和城市噪音会减慢文本输入,但接触音乐会减少目标获取任务的完成时间。我们的研究有助于不断增长的研究领域的情景障碍,我们比较我们的结果与以前的工作对寒冷引起的情景障碍的影响。我们的研究结果可以用来支持智能手机用户通过自适应界面,响应用户的持续上下文。
The adverse e � ect of ambient noise on humans has been extensively studied in � elds like cognitive science, indicating a signi � cant impact on cognitive performance, behaviour, and emotional state. Surprisingly, the e � ect of ambient noise has not been studied in the context of mobile interaction. As smartphones are ubiquitous by design, smartphone users are exposed to a wide variety of ambient noises while interacting with their devices. In this paper, we present a structured analysis of the e � ect of six distinct ambient noise types on typical smartphone usage tasks. The evaluated ambient noise types include variants of music, urban noise and speech. We analyse task completion time and errors, and � nd that di � erent ambient noises a � ect users di � erently. For example, while speech and urban noise slow down text entry, being exposed to music reduces completion time in target acquisition tasks. Our study contributes to the growing research area on situational impairments, and we compare our results to previous work on the e � ect of cold-induced situational impairments. Our results can be used to support smartphone users through adaptive interfaces which respond to the ongoing context of the user.
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