Browsing by Author "Bianchi, Andrea"

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Designing Skin-Dragging Haptic Motions for Wearables
(2017-01-01)
Je, Seungwoo
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Choi, Okyu
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Choi, Kyungah
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Lee, Minkyeong
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Suk, Hyeon-Jeong
Skin-dragging is an emerging type of haptic feedback that coveys both precise spatial and temporal tactile cues through the motion of a small pin dragged across the skin. While past research focused on building skin-dragging wearable devices with different form-factors, and testing their feasibility, it is still unclear what the user's perception of such haptic stimuli is, and how designers should generate dragging motionpatterns for informative feedback to be presented on a finger. In this work, we attempt to answer these questions. We therefore asked designers to create dragging motions using changes of speed, direction and length. We then tested the generated skin-dragging motions with a haptic smart-ring, classified them and extracted guidelines that can be used to convey rich and informative feedback on the fingers.
HapticSphere: Physical Support To Enable Precision Touch Interaction in Mobile Mixed-Reality
(2019-01-01)
Wang, Chiu-Hsuan
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Hsieh, Chen-Yuan
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Yu, Neng-Hao
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Bianchi, Andrea
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Chan, Liwei
This work presents I lapticSphere, a wearable spherical surface enabled by bridging a finger and the head-mounted display (HMD) with a passive string. Users perceive a physical support on a finger attached to a string, when extending their arm and reaching out to the string's maximum extension. This physical support assists users in precise touch interaction in the context of stationary and walking virtual or mixed-reality experiences. We propose three methods of attachment of the haptic string (directly on the head or on the body), and illustrate a novel single-step calibration algorithm that supports these configurations by estimating a grand haptic sphere, once a head-coordinated touch interaction is established. Two user studies were conducted to validate our approach and to compare the touch performance with physical support in sitting and walking conditions in the context of mobile mixed-reality scenarios. The results show that, in the walking condition, touch interaction with physical support significantly outperformed the visual-only condition.
PokeRing: Notifications by Poking Around the Finger
(2018-01-01)
Je, Seungwoo
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Lee, Minkyeong
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Kim, Yoonji
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Chan, Liwei
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Yang, Xing-Dong
Smart-rings are ideal for subtle and always-available haptic notifications due to their direct contact with the skin. Previous researchers have highlighted the feasibility of haptic technology in smart-rings and their promise in delivering noticeable stimulations by poking a limited set of planar locations on the finger. However, the full potential of poking as a mechanism to deliver richer and more expressive information on the finger is overlooked. With three studies and a total of 76 participants, we informed the design of PokeRing, a smart-ring capable of delivering information via stimulating eight different locations around the index finger's proximal phalanx We report our evaluation of the performance of PokeRing in semi-realistic wearable conditions, (standing and walking), and its effective usage for information transfer with twenty-one spatio-temporal patterns designed by six interaction designers in a workshop. Finally, we present three applications that exploit PokeRing's notification usages.
tactoRing: A Skin-Drag Discrete Display
(2017-01-01)
Je, Seungwoo
;
Rooney, Brendan
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Chan, Liwei
;
Bianchi, Andrea
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資訊工程學系
Smart rings are an emerging wearable technology particularly suitable for discrete notifications based on haptic cues. Previous work mostly focused on tactile actuators that stimulate only specific skin receptors on the finger, resulting in limited information expressiveness. We propose tactoRing, a novel tactile display that, by dragging a small tactor on the skin around the finger, excites multiple skin areas resulting in more accurate cue recognition. In this paper we present the hardware and a perception study to understand the ability of users to recognize eight distinct points around the finger. Moreover, we show two different techniques to encode information through skin-dragging motion with accuracy up to 94%. We finally showcase a set of applications that, by combining sequences of tactile stimuli, achieve higher expressiveness than prior methods.