可自定义的触觉设备,根据用户差异智能调整反馈方式。
A Modular Haptic Display with Reconfigurable Signals for Personalized Information Transfer
- 模块化气动结构配合流体逻辑电路,硬件级快速切换触觉信号。
- 通过信息论优化,提升用户对触觉信号的理解效率。
- 适合需要个性化触觉交互的智能穿戴与人机协同场景。
我们提出一种可定制的柔性触觉系统,结合模块化硬件与信息论算法,实现针对不同用户和任务的个性化反馈。平台采用模块化、多自由度的气动显示单元,可通过流体逻辑电路激活或组合压力、频率、接触面积等不同信号类型。该电路简化控制逻辑,减少对专用电子设备的依赖,仅用少量输入即可协调多个触觉元件的联动。系统支持无需重写代码的硬件级信号配置切换。个性化通过模块化硬件与软件驱动信号选择共同实现。为确定最优显示配置,我们将触觉通信建模为信号传输问题:需将隐含信息有效传达给用户。通过优化问题求解,寻找在考虑个体敏感度、偏好与感知显著性差异下,最大化信息传递效率的触觉硬件设置。用户研究验证了不同信号组合下的表现,结果表明模块化与个性化设计能显著提升多模态触觉接口效能,推动可重构系统在动态人机交互中的发展。
原文摘要 · Abstract (English)
We present a customizable soft haptic system that integrates modular hardware with an information-theoretic algorithm to personalize feedback for different users and tasks. Our platform features modular, multi-degree-of-freedom pneumatic displays, where different signal types, such as pressure, frequency, and contact area, can be activated or combined using fluidic logic circuits. These circuits simplify control by reducing reliance on specialized electronics and enabling coordinated actuation of multiple haptic elements through a compact set of inputs. Our approach allows rapid reconfiguration of haptic signal rendering through hardware-level logic switching without rewriting code. Personalization of the haptic interface is achieved through the combination of modular hardware and software-driven signal selection. To determine which display configurations will be most effective, we model haptic communication as a signal transmission problem, where an agent must convey latent information to the user. We formulate the optimization problem to identify the haptic hardware setup that maximizes the information transfer between the intended message and the user's interpretation, accounting for individual differences in sensitivity, preferences, and perceptual salience. We evaluate this framework through user studies where participants interact with reconfigurable displays under different signal combinations. Our findings support the role of modularity and personalization in creating multimodal haptic interfaces and advance the development of reconfigurable systems that adapt with users in dynamic human-machine interaction contexts.
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