基于气味采集的嗅觉输入界面探索  

Exploration of Olfactory Input Interface Based on Smell Capture

作　　者：路奇 吴昊 梁婉[1,2] 贾艳红 杨佳伟 Lu Qi;Wu Hao;Liang Wan;Jia Yanhong;Yang Jiawei(Academy of Art&Design,Tsinghua University,Beijing 100084;The Future Laboratory,Tsinghua University,Beijing 100084;Tsinghua University-Alibaba Joint Research Laboratory for Natural Interaction Experience,Beijing 100084)

机构地区：[1]清华大学美术学院,北京100084 [2]清华大学未来实验室,北京100084 [3]清华大学-阿里巴巴自然交互体验联合实验室,北京100084

出　　处：《计算机辅助设计与图形学学报》2020年第7期1018-1025,共8页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家重点研发计划(2019YFF0302902);清华大学自主科研计划(20197010003);清华大学-阿里巴巴自然交互体验联合实验室联合共建科研项目(20182911173).

摘　　要：近年来,嗅觉界面研究的数量在人机交互领域逐年增多,目前大家研究的重点集中于使用气味播放技术进行信息的表征和环境渲染等,相比之下,气味输入方面的研究尚不多见.电子鼻目前被视为是理想的气味采集手段,它可以识别气味,并将其数字化,但是目前电子鼻的识别能力还非常有限,并且生成的数据无法将气味像图片或者音频那样进行传播和呈现.通常,嗅觉信息的采集需要从物理和数字2个维度进行,即既要通过电子鼻等数字采集技术建构气味标签,又要能够对气味进行物理形式的保存,以便进行气味回放.针对此需求,文中提出了一系列设计原则,并且进行了原型开发方面的探索与相应的实验评估.文中对这种嗅觉输入界面,基于文献调研、用户访谈和实验、设计讨论等方法提出了一系列潜在应用场景,并且对其研究路线进行了探讨,为后续的相关研究提供建议和方向.In HCI community,olfactory interface research has been increasingly attracting researchers’interest in recent years,and they usually focus on using odor delivery technology to present symbolic messages,multisensory rendering and so on.Whereas,research about olfactory input methods is comparatively under-explored.Electronic nose is currently regarded as an ideal means of odor input.It can identify odors and digitize them,but the ability is still very limited,and the generated data cannot transmit and present odors like pictures and audio.There is a demand to collect olfactory information in both physical and digital dimensions,that is,not only constructing the digital label through sensing technologies,but also collecting the odorants for odor replay.Therefore a few design principles were proposed and prototypes were developed in two ways to explore solutions to this issue.A series of potential application scenarios were concluded based on literature surveys,interviews and brainstorming.The research routes were also discussed to provide suggestions and directions for subsequent related research.

关 键 词：气味采集 电子鼻 嗅觉输入 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]