ThumbRing

Tsai, Hsin-Ruey; Wu, Chunyan; Huang, Lee-Ting; Hung, Yi‐Ping

doi:10.1145/2957265.2961859

Cited by 24 publications

(5 citation statements)

References 16 publications

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“…Thumb-to-finger gestures are microgestures involving a contact between the thumb and another hand part [41]. Several studies assess the comfort of finger parts on which to perform thumb-to-finger gestures [18,21,36,46]. Results show that comfort gradually decreases from the index finger to the pinky, however, the index and middle fingers are close in terms of comfort compared to the other fingers.…”

Section: Microgestures and Thumb-to-finger Gesturesmentioning

confidence: 99%

“…We placed 18.5mm wide circular Force-Sensitive Resistors (FSR) 4 to detect thumb taps on different parts of the left hand. Following comfort and preference recommendations of previous studies [18,21,36,46], we placed a total of 8 sensors: three sensors on each phalanx inner side of the index and middle fingers, one sensor on the ring finger nail and one sensor on the lateral side of the upper index finger phalanx 5 . We also used flex sensors 6 placed on the back of the index and middle fingers sensing how bent fingers are.…”

Section: M[eye]cromentioning

confidence: 99%

See 1 more Smart Citation

M[eye]cro

Wambecke

Goguey

Nigay

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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We present M[eye]cro an interaction technique to select on-screen objects and navigate menus through the synergistic use of eye-gaze and thumb-to-finger microgestures. Thumb-to-finger microgestures are gestures performed with the thumb of a hand onto the fingers of the same hand. The active body of research on microgestures highlights expected properties including speed, availability and eye-free interaction. Such properties make microgestures a good candidate for multitasking. However, while praised, the state-of-the-art hypothesis stating that microgestures could be beneficial for multitasking has never been quantitatively verified. We study and compare M[eye]cro to a baseline, i.e., a technique based on physical controllers, in a cockpit-based context. This context allows us to design a controlled experiment involving multitasking with low- and high-priority tasks in parallel. Our results show that performances of the two techniques are similar when participants only perform the selection task. However, M[eye]cro tends to yield better time performance when participants additionally need to treat high-priority tasks in parallel. Results also show that M[eye]cro induces less fatigue and is mostly preferred.

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Section: Microgestures and Thumb-to-finger Gesturesmentioning

confidence: 99%

Section: M[eye]cromentioning

confidence: 99%

M[eye]cro

Wambecke

Goguey

Nigay

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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“…• use subtle to describe an interaction (e.g., an input users do, a feedback they receive, the way things are displayed or worded, or the overall flavor of the interaction/experience). An example for relevancy is Tsai et al's ThumbRing poster that describes a device with which the "item selection procedure in the hand is private and subtle" [74].…”

Section: Dataset Of Relevant Publicationsmentioning

confidence: 99%

“…Two device categories stand out for this variant of subtle: (1) wearables, and (2) gesture controllers. The former category contains several ring-like devices, such as Nenya [3], ThumbRing [74], and TouchRing [73]. Gesture input was more varied and included hand gestures [20,53], device gestures [40], and face gestures [45].…”

Section: Subtle As a Way To Do Lessmentioning

confidence: 99%

Charting Subtle Interaction in the HCI Literature

Pohl

Muresan

Hornbæk

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Human-computer interaction is replete with ways of talking about qualities of interaction or interfaces, including if they are expressive, rich, fluid, or playful. An example of such a quality is subtle. While this word is frequently used in the literature, we lack a coherent account of what it means to be subtle, how to achieve subtleness in an interface, and what theoretical backing subtleness has. To create such an account, we analyze a sample of 55 publications that use the word subtle. We describe the variants of subtle interaction in the literature, including claimed benefits, empirical approaches, and ethical considerations. Not only does this create a basis for thinking about subtleness as a quality of interaction, it also works to show how to solidify varieties of quality in HCI. We conclude by outlining some open empirical and conceptual questions about subtleness. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models; Interaction paradigms.

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“…Research has also explored various sensing techniques to detect single-hand gestures, such as Electromyography [51], Infrared [19,37], motion [20,60,66], vision [9,28], magnet [11,12], force [17,34], acoustic [32,[73][74][75], electrical impedance [76] and capacitive [48]. However, each of these techniques is not without limitations, such as complex sensor requirements, high computational demand, use of repetitive gestures and the need for audible signals for acoustic sensing.…”

Section: Sensing Of Single-handed Gesturesmentioning

confidence: 99%

Wrist

Yeo

Lee

Kim

et al. 2019

Proceedings of the 21st International Conference on Human-Computer Interaction With Mobile Devices and Services

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To better explore the incorporation of pointing and gesturing into ubiquitous computing, we introduce WRIST, an interaction and sensing technique that leverages the dexterity of human wrist motion. WRIST employs a sensor fusion approach which combines inertial measurement unit (IMU) data from a smartwatch and a smart ring. The relative orientation difference of the two devices is measured as the wrist rotation that is independent from arm rotation, which is also position and orientation invariant. Employing our test hardware, we demonstrate that WRIST affords and enables a number of novel yet simplistic interaction techniques, such as (i) macro-micro pointing without explicit mode switching and (ii) wrist gesture recognition when the hand is held in different orientations (e.g., raised or lowered). We report on two studies to evaluate the proposed techniques and we

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ThumbRing

Cited by 24 publications

References 16 publications

M[eye]cro

M[eye]cro

Charting Subtle Interaction in the HCI Literature

Wrist

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