Olfoto: designing a smell-based interaction

Olfoto: designing a smell-based interaction
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Olfoto:设计基于气味的交互

DOI:
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发表时间:
2006
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
Christopher Miller
Christopher Miller
中科院分区:
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文献类型:
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作者:
S. Brewster;D. McGookin;Christopher Miller

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我们提出了一个研究使用气味搜索数字照片集。许多人现在在他们的计算机上有大型照片库,需要有效的搜索工具。搜索与记忆和情感有很强的联系,所以在搜索时可能是提示回忆的好方法。我们的研究比较了基于文本和气味的标记。在第一阶段,我们从用户的照片中生成了一组气味和标签名称,然后参与者使用这些来标记照片,两周后返回回答关于他们照片的问题。结果表明,参与者可以有效地标记文本标签,因为这是一个常见和熟悉的任务。气味的表现较低,但参与者的表现显着高于机会,一些参与者使用气味很好。这表明气味是有潜力的。结果还表明,有些气味是一致识别和有用的,但有些不是,并突出了气味输送设备的问题。我们还讨论了使用气味进行交互的一些实际问题。
We present a study into the use of smell for searching digi-tal photo collections. Many people now have large photo libraries on their computers and effective search tools are needed. Smell has a strong link to memory and emotion so may be a good way to cue recall when searching. Our study compared text and smell based tagging. For the first stage we generated a set of smell and tag names from user de-scriptions of photos, participants then used these to tag pho-tos, returning two weeks later to answer questions on their photos. Results showed that participants could tag effec-tively with text labels, as this is a common and familiar task. Performance with smells was lower but participants performed significantly above chance, with some partici-pants using smells well. This suggests that smell has poten-tial. Results also showed that some smells were consistently identified and useful, but some were not and highlighted issues with smell delivery devices. We also discuss some practical issues of using smell for interaction.