design haptic feedback

The field of tactile surface modeling and data representation has long lacked a systematic treatment from a signal processing perspective, resulting in technical fragmentation across modeling, acquisition, rendering, and perception. Method: This paper presents the first unified taxonomy, comparative analysis, and critical review of tactile surface modeling methods—organized along core signal processing dimensions: signal sampling, feature extraction, compression coding, geometry–physics hybrid modeling, and cross-modal representation. Contribution/Results: We construct an end-to-end technical roadmap, identifying six fundamental modeling paradigms and three critical representation bottlenecks: (1) resolution–bandwidth trade-offs, (2) insufficient physical fidelity, and (3) challenges in cross-modal alignment. Our framework provides a scalable theoretical foundation and concrete technical pathways toward standardized tactile modeling, real-time rendering, and closed-loop perception.

This study investigates how variations in kinesthetic resistance—specifically inertia, viscosity, and stiffness—in handheld VR controllers influence users’ multidimensional haptic perception of object physical properties. Addressing the limitation of prior work that relies on single quantitative metrics and overlooks perceptual complexity, we integrate qualitative interviews with semantic differential scales, employing thematic analysis, exploratory factor analysis, and quantitative modeling to systematically decouple impedance parameters from distinct haptic perception dimensions. Four core perceptual factors emerge: size, viscosity, weight, and flexibility. Based on these, we develop an interpretable “impedance–perception” mapping model grounded in empirical data. This work transcends conventional single-metric evaluation paradigms and provides cognitively informed design principles for programmable haptic rendering, advancing both theoretical understanding and practical implementation of physically grounded haptics in VR interfaces.

This paper addresses the current state and key challenges of electrotactile feedback in human–computer interaction (HCI). Through a systematic literature review of 110 peer-reviewed studies, we employ structured analysis, thematic coding, and cross-modal comparison to establish, for the first time, a comprehensive technology taxonomy and multimodal integration roadmap for electrotactile interfaces. The study synthesizes findings along four core dimensions: device design, perceptual mechanisms, multimodal fusion, and real-world deployment—thereby identifying three critical bottlenecks: (1) rigorous safety threshold definition, (2) computational modeling of inter-individual perceptual variability, and (3) implementation of low-latency, closed-loop control. Our contribution is the field’s first HCI-oriented knowledge graph, which clarifies evolutionary trajectories, highlights unresolved research gaps, and charts a pathway toward robust, personalized, and closed-loop electrotactile HCI systems.

Existing haptic frameworks predominantly rely on event-triggered mechanisms, neglecting spatial information in 3D scenes and thus struggling to generate dynamic, perceptually consistent interaction feedback. This paper introduces Haptic Tracing—a novel spatialized haptic rendering method inspired by graphics and audio rendering paradigms. It explicitly models and propagates haptic signals within 3D scenes, enabling real-time haptic feedback generation without physics simulation. Its core innovation is the first introduction of a spatial haptic tracing paradigm, supporting coordinated multi-actuator control and spatial propagation of haptic information. User studies demonstrate statistically significant improvements in haptic realism and expressiveness (p < 0.01). By decoupling haptic synthesis from computationally expensive physical simulation, Haptic Tracing provides an efficient, scalable pathway toward complex, immersive haptic experiences.

This study addresses the challenge of high-fidelity tactile rendering of 3D geometric shapes in virtual reality, a task hindered by limited spatiotemporal resolution in existing vibrotactile approaches. Inspired by the natural deformation of the fingertip during object contact, this work proposes a novel parametric tactile rendering method that integrates fingerpad deformation modeling into electro-tactile feedback design. Leveraging a finger-worn electro-tactile interface, the system dynamically generates spatiotemporal tactile patterns based on interaction states—such as proximity, contact, and sliding—and geometric context, including shape features and surface textures. A user study (N=24) demonstrates that the proposed approach significantly outperforms baseline systems in both texture discrimination and geometric feature recognition, offering a new paradigm and practical guidance for the development of high-fidelity tactile interfaces.

This work addresses the limitations of high-fidelity haptic feedback in traditional teleoperation, which often imposes excessive hardware complexity and increases operator cognitive load. The authors propose a “semantic haptic feedback” approach that abstracts robot states into two key semantic categories—“confirmation” and “anomaly”—and employs a modular rendering pipeline to enable one-to-many mappings between tactile cues and system states. Implemented via pneumatic and vibrotactile wristbands, this method delivers concise yet effective haptic notifications in a simulated bimanual robotic pick-and-place task. Experimental results demonstrate that, compared to conventional sensory-rich haptics and purely visual feedback, the proposed approach significantly reduces task load, enhances situational awareness, and improves user preference, thereby boosting teleoperation performance while relaxing hardware requirements.

研究对比了手部追踪和控制器在VR互动任务中的触觉反馈效果，通过振动、脉冲及无反馈三种方式评估性能、工作负荷和偏好。

This study addresses information overload and the lack of enhanced haptic feedback in touch-screen visualizations by integrating vibrotactile encoding into line chart tooltips to establish a multimodal interaction channel that reinforces trend perception. Through parameter preference studies and pairwise comparison experiments, optimal haptic feedback configurations were identified. Results demonstrate that this design significantly improves user engagement and interaction experience while maintaining data interpretation accuracy. These findings confirm that haptic feedback serves as an effective complement to the visual channel, providing a novel design paradigm and empirical evidence for multimodal data visualization.

This study addresses the limitations of gesture-based interaction in virtual reality (VR), where the absence of tactile feedback and physical reference surfaces leads to reduced precision and efficiency. To overcome these challenges, the authors propose a multimodal interaction approach that integrates a portable physical surface with vibrotactile/pressure haptic feedback and visual cues. The work presents the first systematic comparison among three conditions: no feedback, haptic-only feedback, and the inclusion of a physical surface. Experimental results demonstrate that the physical surface significantly improves selection accuracy, tracing efficiency, and drawing quality. Furthermore, it effectively facilitates bimanual coordination and enhances users’ sense of control and confidence during interaction, offering a practical and efficient solution for high-precision touch-based tasks in VR.

This study addresses the absence of systematic guidelines for selecting haptic guidance models tailored to specific tasks, environments, and operators in teleoperation. The authors propose a unified stiffness-damping modeling framework that expresses prominent approaches—including spring-damper systems, potential fields, and guidance tubes—as instances defined by specific guidance functions. A user study conducted in vertical farming scenarios evaluates the performance of these models across six distinct environments. By introducing an environment-aware model selection guideline and novel objective interaction metrics, the work demonstrates that guidance force magnitude significantly influences operator comfort and trust. Findings reveal no universally optimal model: spring-damper systems excel in cluttered settings, potential fields perform well in open spaces but pose risks near obstacles, and guidance tubes offer a robust compromise, thereby providing actionable criteria for practical deployment.