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Investigating Multi-Touch Vibrations on Mobile Touchscreens

机译:调查移动触摸屏上的多点触摸振动

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While many advanced haptic devices are under development, touchscreens are one of the most readily available platforms. In this paper, we leverage a leap forward in vibration-based haptics, Apple's new CoreHaptics API, and investigate its potential for a multi-finger vibration experience. We present a perceptual user study (N=15) that investigates multi-finger vibration identification and exploration strategies and we conduct a laser doppler vibrometry study, uncovering the challenges of developing consistent, high-quality vibration feedback across hardware platforms that vary in actuation principle, screen size, and external attachments. Repeated-measures ANOVA tests showed no statistically significant results in time, error, or weighted error for vibration identification across all participants based on number of fingers. However, one-way ANOVAs did show significant results within individuals, illustrating benefits of multiple-finger exploration. The most effective strategies for locating vibrations involved multiple fingers grouped together using sweeping motions across the screen. Our LDV study demonstrated that CoreHaptics and the Taptic Engine in the iPhone were capable of more accurately recreating specific frequencies than coin motors in Android devices. This research supports a move to a multi-finger, vibrotactile touchscreen experience, while highlighting the challenges of creating a consistent vibration experience across hardware platforms.
机译:虽然许多先进的触觉设备正在开发,但触摸屏是最容易获得的平台之一。在本文中,我们利用振动的触觉,Apple的新CoreAvaptics API,并研究其对多指振动经验的潜力。我们提出了一种感知用户学习(n = 15),调查多指振动识别和勘探策略,我们进行激光多普勒振动测定的研究,揭示了在致动原理各不相同的硬件平台上开发一致,高质量的振动反馈的挑战,屏幕尺寸和外部附件。重复措施ANOVA测试在所有参与者的时刻,误差或加权误差的时间,误差或加权误差显示出没有统计上显着的结果。然而,单向ANOVA确实在个人内显示出显着的结果,说明了多指探索的益处。定位振动的最有效的策略涉及多个手指在屏幕上使用扫描动作分组在一起。我们的LDV研究表明,iPhone中的CoreAveCics和Taptic引擎能够比Android设备中的硬币电机更准确地重建特定频率。该研究支持移动到多指,振动触摸屏体验,同时突出了在硬件平台上创建一致振动经验的挑战。

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