TherMosaic:通过时空热反馈加速感知热过渡
TherMosaic: Accelerating Perceived Thermal Transitions Through Spatiotemporal Thermal Feedback
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- University of Texas at Dallas(德克萨斯大学达拉斯分校)
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中文总结 AI 辅助
该研究提出TherMosaic时空热反馈方法,利用空间总和与热适应机制,通过2×2珀尔帖模块阵列及可穿戴实现,缩短感知热过渡时间30%-40%,减少热滞后并提升热视觉事件时间对齐度。
中文摘要 AI 辅助
热反馈可丰富沉浸式交互,但热电设备的温度变化通常过慢,无法匹配交互时序。我们提出TherMosaic,一种时空热反馈方法,利用空间总和与热适应两种感知机制加速感知温度过渡。针对指尖,我们先采用定制的2×2阵列独立控制的珀尔帖模块研究该方法。三项受控感知研究显示,分布式热刺激可在局部偏差下维持稳定的冷热感知,适应性能在刺激变化时保持这些感知,且结合两种效应可使从热或冷状态开始的过渡的感知过渡时间缩短约30%-40%。随后我们将相同设计原则转化为TherMosaic的独立可穿戴实现,并在虚拟现实中评估。结果表明该方法可减少感知热滞后,提升交互使用中热与视觉事件的时间对齐度。
英文摘要
Thermal feedback can enrich immersive interaction, but thermoelectric devices often change temperature too slowly to match interactive timing. We present TherMosaic, a spatiotemporal thermal feedback approach that accelerates perceived temperature transitions by leveraging two perceptual mechanisms: spatial summation and thermal adaptation. Focusing on the fingertip, we first investigate this approach using a custom 2*2 array of independently controlled Peltier modules. Across three controlled perceptual studies, we show that distributed thermal stimulation can preserve stable hot and cold percepts despite local deviations, that adaptation helps maintain these percepts during changing stimulation, and that combining these effects reduces perceived transition time by about 30%-40% for transitions originating from hot or cold states. We then translate the same design principles into a standalone wearable implementation of TherMosaic and evaluate it in virtual reality. Our results show that this approach reduces perceived thermal lag and improves temporal alignment between thermal and visual events in interactive use.