Representing scents: An evaluation framework of scent-related experiences through associations between grounded and psychophysiological data

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2024-08-17 DOI:10.1016/j.ijhcs.2024.103357

Yang Chen Lin , Shang-Lin Yu , An-Yu Zhuang , Chiayun Lee , Yao An Ting , Sheng-Kai Lee , Bo-Jyun Lin , Po-Chih Kuo

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引用次数: 0

Abstract

This study introduces an empirical approach for assessing human scent-related experiences within the field of Human-Computer Interaction (HCI). We labeled 43 fragrances based on grounded collective experience, incorporating semantic and impression-based data. Furthermore, we collected comprehensive psychophysiological data, including electroencephalogram (EEG), electrobulbogram (EBG), electrocardiogram (ECG), and facial dynamics captured by a camera, from participants who experienced the scents. By computing scent-wise similarity and correlating both grounded and psychophysiological scent spaces, we identified associations between them, demonstrating the potential of this approach to enhance our understanding of scent-related experiences. Additionally, we propose an iterative evaluation framework to refine the design of smell-based interactions and we conduct a real-life study to validate this framework.

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表现气味：通过基础数据和心理生理学数据之间的关联，建立气味相关体验的评估框架

本研究介绍了一种在人机交互（HCI）领域内评估人类气味相关体验的实证方法。我们根据基础的集体体验，结合语义和基于印象的数据，对 43 种香味进行了标注。此外，我们还收集了体验香味的参与者的全面心理生理数据，包括脑电图（EEG）、脑电图（EBG）、心电图（ECG）和摄像头捕捉到的面部动态。通过计算香味相似度以及关联基础香味空间和心理生理香味空间，我们确定了它们之间的关联，证明了这种方法在增强我们对香味相关体验的理解方面的潜力。此外，我们还提出了一个迭代评估框架来完善基于气味的互动设计，并开展了一项实际研究来验证这一框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...