Effects of Display Sizes on a Scrolling Task using a Cylindrical Smartwatch

Strohmeier, Paul; Burstyn, Jesse; Vertegaal, Roel

doi:10.1145/2786567.2793710

Cited by 12 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 9b depicts the shear forces applied to the button in the form of arrows. The length of the arrow was proportional to the raw count difference in shear channels (1,2,4,5), and the diameter of the circle at the back of the arrow was proportional to the raw count decrease in response to normal pressure (channel 3). The position of the two sliders was also marked in the app, as one integer number from 1 to 100, determined by the microcontroller's built-in slider sensing firmware.…”

Section: Data Visualizationmentioning

confidence: 99%

“…1,2 For a SONY SmartWatch 2, this would limit the numbers of buttons to a maximum of 6 on its 32 x 26 mm screen. 2 Other interaction methods, such as panning, scrolling, and typing, 3,4 are heavily restricted on the smartwatch compared to smartphones and tablets. In addition, there is a lack of smartwatch accessibility studies for users with upper-body motor impairments.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

TouchBand: a modular low-power elastomer-based watchband for touch input and hand gesture recognition

Gao

Yin

et al. 2023

Electroactive Polymer Actuators and Devices (EAPAD) XXV

View full text Add to dashboard Cite

Existing smartwatches offer convenient health monitoring and interfaces with mobile devices. However, the interactivity between a user and a smartwatch suffers from the limited size of the screen and buttons. To improve the usability of smartwatches, novel human-computer interaction methods are introduced into the watchband. To this end, we present a modular lightweight watchband consisting of various capacitive sensing modules—TouchBand. It is made with a flexible printed circuit board (PCB) supporting the bottom electrodes, silver-coated conductive fabric as the top electrodes, and Eco-Flex as the dielectric to electrically separate the PCB and fabric. The watchband incorporates three control modules—(i) two shear-sensitive pressure sensing buttons, (ii) two capacitive sliders, and (iii) one proximity sensing array for hand gesture recognition. Shear forces are captured by analyzing the asymmetric changes in multiple mutual-capacitance readings produced by a shear motion between the top and bottom layers, where overlapped electrodes reside. Sliders pick up changes in proximity as fingers are moved across the sensor surfaces. Hand gestures could be recognized by monitoring the capacitance-based proximity readings between the watchband electrodes and the user’s skin. Eyes-free input to the watch becomes feasible by providing a shear/sliding touch input to the watchband as well as performing a free-hand gesture on the wearing hand. With a flexible printed circuit (FPC) connection to the compact custom electronics, all modules of the watchband were sampled at 50 Hz while consuming 30 mW of power. Meanwhile, the measurement data was wirelessly transmitted through Bluetooth Low-Energy 5.0 (BLE) to a nearby mobile device for real-time data analysis and visualization.

show abstract

Section: Data Visualizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

TouchBand: a modular low-power elastomer-based watchband for touch input and hand gesture recognition

Gao

Yin

et al. 2023

Electroactive Polymer Actuators and Devices (EAPAD) XXV

View full text Add to dashboard Cite

show abstract

“…While mapping rules that are in conflict with expectations may likely take longer time for users to learn, interaction can also benefit from matching those mappings, for instance, by guiding input [1,6,10] and enhancing finger and arm movements in input [16]. The possibilities for improving touch interaction on the arm suggest that both designers and sensor developers can benefit from models that quantify how users perceive interfaces on their skin.…”

Section: Mapping Touch On the Forearmmentioning

confidence: 99%

“…There are two reasons for this: (1) the mappings did not extend fully around the forearm, and (2) the tasks did not involve full rotations (i.e., users could perform tasks without rotating the forearm). Future work should thus also address rotations to open up possibilities for extending the input space and in guiding input, for instance, in bimanual interaction [16].…”

Section: Limitations and Future Workmentioning

confidence: 99%

It's a Wrap

Bergström-Lehtovirta

Hornbæk

Boring

2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Advances in sensing technologies allow for using the forearm as a touch surface to give input to off-skin displays. However, it is unclear how users perceive the mapping between an onskin input area and an off-skin display area. We empirically describe such mappings to improve on-skin interaction. We collected discrete and continuous touch data in a study where participants mapped display content from an AR headset, a smartwatch, and a desktop display to their forearm. We model those mappings and estimate input accuracy from the spreads of touch data. Subsequently, we show how to use the models for designing touch surfaces to the forearm for a given display area, input type, and touch resolution.

show abstract