Capturing, Representing, and Interacting with Laughter

Capturing, Representing, and Interacting with Laughter
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捕捉、表现笑声并与之互动

DOI:
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发表时间:
2018
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
David Bamman
David Bamman
中科院分区:
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文献类型:
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作者:
Kimiko Ryokai;Elena Durán;Noura Howell;Jon Gillick;David Bamman

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我们调查了一个投机的未来,在这个未来中,我们通过捕捉笑声并以有形的形式来庆祝幸福。我们探索了捕捉自然发生的笑声以及各种物理表征的技术。几周来,我们的参与者收集了他们与亲人日常对话的音频样本。我们通过机器学习算法处理这些样本,并分享得到的有形表示(例如,物理容器和可食用的显示器)与我们的参与者。在收集、倾听、互动以及与亲人分享他们的笑声时,参与者描述了保存笑声和与笑声互动的快乐以及收集笑声时的紧张。这项研究表明,笑声表征的有形性很重要,尤其是它的象征意义和物质质量。我们讨论了给予笑声永久形式的设计含义,并将笑声视为我们个人过去的一部分,我们可能会寻求保留和反思。
We investigate a speculative future in which we celebrate happiness by capturing laughter and representing it in tangible forms. We explored technologies for capturing naturally occurring laughter as well as various physical representations of it. For several weeks, our participants collected audio samples of everyday conversations with their loved ones. We processed those samples through a machine learning algorithm and shared the resulting tangible representations (e.g., physical containers and edible displays) with our participants. In collecting, listening to, interacting with, and sharing their laughter with loved ones, participants described both joy in preserving and interacting with laughter and tension in collecting it. This study revealed that the tangibility of laughter representations matters, especially its symbolism and material quality. We discuss design implications of giving permanent forms to laughter and consider the sound of laughter as a part of our personal past that we might seek to preserve and reflect upon.