Towards performance feedback through tactile displays to improve learning archery

Gu, Heng; Kunze, Kai; Takatani, Masashi; Minamizawa, Kouta

doi:10.1145/2800835.2800893

Cited by 9 publications

(2 citation statements)

References 3 publications

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“…al's system to support learning to row records ground reaction forces and users' rowing forces and then gives visual feedback to users on force directions [5]. Gu et al 's system to support learning archery provides vibrotactile feedback to the learner's arms to inform them of unwanted tilting of the bow [13]. Beside sports training, feedback systems also help in learning to play violin [16], to draw calligraphy [15], and to eat with chopsticks [8].…”

Section: Current Systems For Motor Skills Trainingmentioning

confidence: 99%

Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?

Turakhia¹,

Qi²,

Blumberg³

et al. 2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Figure 1: We investigate if adaptive learning tools that automatically adapt their shape to adjust the task difficulty based on a learner's performance can help in motor-skill training. To this end, we built (a) a study prototype in the form of an adaptive basketball stand that can adjust its hoop size and basket height. Our studies show that when the tool adapts automatically, training leads to significantly higher learning gains in comparison to training with (b) a static tool and (c) a manually adaptive tool for which the learners choose the difficulty level themselves.

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Section: Current Systems For Motor Skills Trainingmentioning

confidence: 99%

Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?

Turakhia¹,

Qi²,

Blumberg³

et al. 2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

View full text Add to dashboard Cite

show abstract

“…Haptic interfaces facilitate the development of motor skills, [paper on training motor skills using haptic interfaces]. We investigated physical skill acquisition in sports like archery, and explored the use of haptic interfaces to establish a closed-loop system for training muscle memory [7]. Instead of requiring the visual confirmation of proper posture, the haptic feedback informs the user through vibration patterns.…”

Section: Background On Haptic Processingmentioning

confidence: 99%

Creative Haptic Interface Design for the Aging Population

Gu¹

2018

Assistive Technologies in Smart Cities

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Audiovisual human-computer-interfaces still make up the majority of content to the public; however, haptic interfaces offer unique advantage over the dominant information infrastructure, particularly for users with a disability or diminishing cognitive and physical skills like the elderly. The tactile sense allows users to integrate new, unobstructive channels for digital information into their sensorium, one that is less likely to be overwhelmed compared to vision and audition. Haptics research focus on the development of hardware, improving resolution, modality, and fidelity of the actuators. Despite the technological limitations, haptic interfaces are shown to reinforce physical skill acquisition, therapy, and communication. This chapter will present key characteristics intuitive tactile interfaces should capture for elderly end-users; sample projects will showcase unique applications and designs that identify the limitations of the UI.

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Human Bond Communications: Generic Classification and Technology Enablers

Gavrilovska

Rakovic

2016

Wireless Pers Commun

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Towards performance feedback through tactile displays to improve learning archery

Cited by 9 publications

References 3 publications

Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?

Can Physical Tools that Adapt their Shape based on a Learner’s Performance Help in Motor Skill Training?

Creative Haptic Interface Design for the Aging Population

Human Bond Communications: Generic Classification and Technology Enablers

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