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Voice interaction on TV: analysis of natural language interaction models and recommendations for voice user interfaces

机译:电视上的语音互动:自然语言交互模型分析和语音用户界面的建议

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The goal of this study was to perform an evaluation of a set of voice interaction models (supported by a hands-free solution activated by a wake-up word, a mobile app and a TV remote control with microphone) to identify the most appropriate solution for interactive television. The research addressed issues associated with natural language systems such as usability, interaction and privacy perception, and aimed to analyze the strengths and limitations of the voice interaction models. On a first evaluation approach, a prototype based on a Wizard-of-Oz methodology was used, while a second approach was based on a functional prototype. The preferred interaction model was the hands-free solution activated by a wake-up word because it was easy to use and raised the least difficulties in any task execution. Despite this result, the other two models are not disregarded for a future voice interaction system in television. The TV remote control was the most natural way of interaction for the study's participants. The need for control provided by the remote and by the app makes the participants feel like these grant more privacy. Participants considered that a voice-operated system for TV would be very useful and almost all were receptive to having such a system at home. Lastly, based on commercial standards and guidelines, solutions to issues identified by participants in the visual interface of the TV system were proposed and considered for the next phase of prototype development, also benefiting other researches in the field.
机译:本研究的目标是对一组语音交互模型进行评估(由唤醒字,移动应用程序和带有麦克风的电视遥控器激活的免提解决方案支持,以识别最合适的解决方案互动电视。该研究解决了与自然语言系统相关的问题,如可用性,互动和隐私感知,并旨在分析语音交互模型的优势和局限性。在第一个评估方法中,使用了基于oz-oz方法方法的原型,而第二种方法是基于功能原型。优选的交互模型是由唤醒字激活的免提解决方案,因为它易于使用并在任何任务执行中提高了最小困难。尽管如此,其他两种模型对于电视中的未来语音交互系统并不忽略。电视遥控电视是研究参与者的最自然的互动方式。远程和应用程序提供的控制需求使参与者感到允许更多的隐私。参与者认为,用于电视的音色操作系统是非常有用的,几乎所有人都是在家中具有这样的系统。最后,根据商业标准和准则,提出了参与者在电视系统的视觉界面所识别的问题的解决方案,并考虑了上一阶段的原型发展,也有利于该领域的其他研究。

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