ScentEcho：探索用于精准气味采集与回放的吸附剂材料
ScentEcho: Exploring Adsorbent Materials for Accurate Odor Collection and Playback
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中文总结 AI 辅助
本研究提出ScentEcho便携式气味系统，探索吸附剂材料用于精准气味采集与回放，通过用户评估明确适配特定气味的吸附剂，为设计符合用户感知的嗅觉界面提供实用参考。
中文摘要 AI 辅助
实现真实可识别的气味传递仍是嗅觉交互系统的核心挑战，尤其适用于需要精准气味递送的应用场景。关键局限在于可靠且可扩展地捕获、保存和回放现实世界气味源的难度。本研究探索吸附剂材料在支持真实气味回放方面的潜力，提出ScentEcho这一便携式系统，可实现模块化气味采集与释放。通过用户评估，确定了针对特定气味表现更优的吸附剂材料，并观察到感知强度对相似度评分有显著影响。此外，气味识别呈现分级模式，随着相似度提升，用户会从宽泛类别识别转向更具体的气味源识别。这些发现为设计兼具表现力且与用户感知期望一致的嗅觉界面提供了实用见解。
英文摘要
Delivering odors that feel realistic and recognizable remains a core challenge for olfactory interaction systems, particularly in applications that demand precise scent delivery. A key limitation lies in the difficulty of capturing, preserving, and playing back real-world scent sources in a reliable and scalable manner. This study explores the potential of adsorbent materials for supporting realistic scent playback. We present ScentEcho, a portable system that enables modular scent collection and release. Through user evaluations, we identify which adsorbent materials tend to perform better for specific odors, and observe that perceived intensity strongly influences similarity ratings. In addition, odor recognition follows a graded pattern, with users moving from broad category identification to more specific source recognition as similarity increases. These findings offer practical insights for designing olfactory interfaces that are both expressive and perceptually aligned with user expectations.
