智能手机自动化:用行为学习增强用户体验

Dhanish Semar, Ted Chen, Rashina Hoda
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引用次数: 0

摘要

如今,智能手机已成为我们生活中不可或缺的一部分。他们持久的友谊需要频繁的互动,不仅要使用他们的功能,还要与手机设置进行互动,以使他们适应不断变化的场景。基于设置的任务,如在会议期间静音,虽然很重要,但通常是乏味和破坏性的,可以通过自动化这些任务来避免。目前的智能手机自动化应用程序需要配置明确的规则,用户可能会觉得这些规则过于复杂。采用以用户为中心的设计方法,我们设计了一个智能手机自动化应用程序,该应用程序结合了行为模式识别和常规学习,以实现智能和上下文感知自动化,而不会给用户带来过重的负担。在我们的研究中进行的可用性和有用性评估为用户偏好提供了有价值的见解,以指导智能手机自动化设计。以这种方式自动化智能手机自动化提供了从不断的手动设置更改和手动配置自动化工具的开销的自由,以实现更无缝的用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automating SmartPhone Automation: Enhancing User Experience with Behaviour Learning
Smart phones nowadays form an integral part of our lives. Their persistent befriending demands frequent interaction not only to use their features but also to interact with phone settings to appropriate them to changing scenarios. Settings-based tasks such as muting sound during meetings while critical are typically tedious and disruptive and can be avoided by automating such tasks. Current smart phone automation apps require configuring explicit rules which users may find gratuitously complicated. Using a User-Centred Design approach, we designed a smart phone automation app which incorporates behaviour pattern recognition and routine learning to achieve intelligent and context-aware automation without overburdening the users. Usability and usefulness evaluations conducted in our study have provided valuable insight into user preferences to guide smart phone automation design. Automating smart phone automation in this way provides freedom from constant manual setting changes and from the overhead of manually configuring automation tools for a more seamless user experience.
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