Personalising vibrotactile displays through perceptual sensitivity adjustment

Abstract

Haptic displays are commonly limited to transmitting a discrete set of tactile motives. In this paper, we explore the transmission of real-valued information through vibrotactile displays. We simulate spatial continuity with three perceptual models commonly used to create phantom sensations: the linear, logarithmic and power model. We show that these generic models lead to limited decoding precision, and propose a method for model personalization adjusting to idiosyncratic and spatial variations in perceptual sensitivity. We evaluate this approach using two haptic display layouts: circular, worn around the wrist and the upper arm, and straight, worn along the forearm. Results of a user study measuring continuous value decoding precision show that users were able to decode continuous values with relatively high accuracy (4.4% mean error), circular layouts performed particularly well, and personalisation through sensitivity adjustment increased decoding precision.

Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance

“…The vibrotactile guidance consisted of a moving virtual stimulus, which simulated a movement from the central tactor to one of the outer tactors. The tactor amplitudes to evoke the moving sensation were modulated according to the following mapping (Israr and Poupyrev, 2011;Luzhnica et al, 2017;Hehenberger et al, 2019Hehenberger et al, , 2020,…”

VibroMap

“…On-body computing opens up a wide variety of opportunities for interaction, e.g., leveraging the skin as a platform for interaction [21,63,64], using electrical muscle stimulation to move users' limbs [36] and providing feedback for prosthetic limbs [34]. Vibrotactile interfaces on the body for output are particularly attractive as they are not restricted to body locations that are visible, which leads to their use across a diverse range of body locations, e.g., on the hand [18-20, 33, 42], wrist [7,30,31,35], forearm [37,38,45,47,51,70], upperarm [3,4,58], back [23,41,60], stomach [28], thigh [56] and lower leg [9]. Their usage spans a wide range of interaction scenarios, such as speech communication [46,67,70], affective communication [43], progress monitoring [7], learning gestures [20], spatial guidance [19,33], motion guidance [51,56] and navigation [13,15,24].…”

“…Their usage spans a wide range of interaction scenarios, such as speech communication [46,67,70], affective communication [43], progress monitoring [7], learning gestures [20], spatial guidance [19,33], motion guidance [51,56] and navigation [13,15,24]. Srikulwong and O'Neill [57] Meier et al [40] Konishi et al [27] Israr and Poupyrev [23] Tam et al [59] Cauchard et al [7] Leong et al [34] Lee et al [30] Lee and Starner [31] Liao et al [35] Zhao et al [70] Luzhnica and Veas [38] Luzhnica et al [37] Pfeiffer et al [45] Schönauer et al [51] Reinschluessel et al [47] Stratmann et al [58] Bark et al [4] Alvina et al [3] Spelmezan et al [56] Chen et al [9] Wong et al [67] Dobbelstein et al [13] Karuei et al [25] Cholewiak and Collins [12] Cholewiak et al [11] Schneider et al [49] Krüger et al [28] Spelmezan [55] Ertan et al [16] Aggravi et al [1] Ho et al…”

“…Prior research in HCI studied haptic feedback for many applications, ranging from navigation [16], motion coaching [50,55], passive motor skill learning [53], driving [22,28], and human-robot interaction [1]. Depending on the use-case, haptic feedback is proposed on many different body locations, e.g., upper arm [3,4,58], forearm [37,38,45,47,51,70], wrist [7,14,30,31,35], stomach [28], thigh [56], legs [9], and feet [61].…”

Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display

“…This method resulted in better recognition accuracy than spatial encoding, and it is faster than spatiotemporal encoding, as vibromotors share most of the activated time. Recent research leverages spatial acuity (sensitivity of locations of actuators) for achieving a better perception of encoded information [28,27]. We employ the same method as Luzhnica [29] for encoding char-Session 5A: IUIs for Wearable, Mobile and Ubiquitious Computing IUI 2018, March 7-11, 2018, Tokyo, Japan Figure 2.…”