🤖 AI Summary
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.
📝 Abstract
Haptic technology enhances interactive experiences by providing force and tactile feedback, improving user performance and immersion. However, despite advancements, creating tactile experiences still remains challenging due to device diversity and complexity. Most available haptic frameworks rely on trigger-based or event-based systems, and disregard the information of the 3D scene to render haptic information. This paper introduces Haptic Tracing, a novel method for spatial haptic rendering that simplifies the creation of interactive haptic experiences without relying on physical simulations. It uses concepts from visual and audio rendering to model and propagate haptic information through a 3D scene. The paper also describes how our proposed haptic rendering method can be used to create a vibrotactile rendering system, enabling the creation of perceptually coherent and dynamic haptic interactions. Finally, the paper discusses a user study that explores the role of the haptic propagation and multi-actuator rendering on the users' haptic experience. The results show that our approach significantly enhances the realism and the expressivity of the haptic feedback, showcasing its potential for developing more complex and realistic haptic experiences.