D-Swime

Singh, Gajender; Delamare, William; Irani, Pourang

doi:10.1145/3173574.3174208

Cited by 28 publications

(3 citation statements)

References 41 publications

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“…Beats [60] explores the design space of 'beating gestures' which are repeated sequential taps made by the index and middle finger of one hand. The design space of smartwatch gestures in the context of mobility and encumbrance has been vividly explored in D-SWIME [77]. With GestureWrist and GesturePad [67], Rekimoto proposed gestural input for on-body wearables.…”

Section: On-body and On-device Wearable Gesturesmentioning

confidence: 99%

Exploring the Design Space of Badge Based Input

Bhatia

Ahuja

Agarwal

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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Human Body & Clothing Badge Badge Body Fastener Fig. 1. Badge-based interaction gestures are enabled by the body of the badge and the method of attaching the badge to the clothing. In this paper, we explore input with wearables that can be attached and detached at will from any of our regular clothes. These wearables do not cause any permanent effect on our clothing and are suitable to be worn anywhere, thus making them very similar to badges we wear. To explore this idea of non-permanent badge input, we studied various methods to fasten objects to our clothing and organise them in the form of a design space. We leverage this synthesis, along with literature and existing products to present possible interaction gestures these badge-based wearables can enable.

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Section: On-body and On-device Wearable Gesturesmentioning

confidence: 99%

Exploring the Design Space of Badge Based Input

Bhatia

Ahuja

Agarwal

et al. 2020

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

show abstract

“…In terms of interaction in different settings, Mo et al [91] investigated the use of smartwatches in mobile contexts like walking and running and found that while walking and operating the smartwatch was similar to sitting, running impacted overall use. In addition to contexts like walking and running, Singh et al [125] explored interaction techniques in cases when only one hand is available compared to both hands for panning and zooming gestures.…”

Section: Smartwatchesmentioning

confidence: 99%

Designing and implementing accessible wearable interactions for people with motor impairments

Malu

2018

SIGACCESS Access. Comput.

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Emerging wearable technologies like head-mounted displays (e.g., Google Glass) and wrist-worn devices (e.g., Fitbit, Apple Watch 2.0) are always available, have the potential to provide quick access to information and offer relatively hands-free interaction compared to smartphones. Additionally, they can collect continuous health and fitness-related information of their wearer. For people with disabilities, these technologies may also offer possibilities of independent use. However, people with upper body motor impairments may not be able to gain from the potential benefits that these wearables can offer. For example, challenges related to performing multi-touch gestures and text entry, may magnify as the interaction space of some wearables gets even smaller. In my dissertation, I explore the potential impacts and assess the accessibility of existing mainstream wearable technologies, including head-mounted displays, smartwatches, and fitness trackers. Consequently, I implement and evaluate accessible wearable interactions for people with motor impairments for these wearables, specifically head-mounted displays and smartwatches.

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“…This task is important for applications such as instant messages and information editing on AR glasses. In addition to input efficiency, the portability of AR glasses requires an input method to adapt to a wide range of environments and user states, including indoor/outdoor scenes and moving/stationary postures in daily life [62] (as illustrated in Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Handwriting Velcro

Fang

Zhang

Zhan

et al. 2022

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Text input is a desired feature for AR glasses. While there already exist various input modalities (e.g., voice, mid-air gesture), the diverse demands required by different input scenarios can hardly be met by the small number of fixed input postures offered by existing solutions. In this paper, we present Handwriting Velcro, a novel text input solution for AR glasses based on flexible touch sensors. The distinct advantage of our system is that it can easily stick to different body parts, thus endowing AR glasses with posture-adaptive handwriting input. We explored the design space of on-body device positions and identified the best interaction positions for various user postures. To flatten users' learning curves, we adapt our device to the established writing habits of different users by training a 36-character (i.e., A-Z, 0-9) recognition neural network in a human-in-the-loop manner. Such a personalization attempt ultimately achieves a low error rate of 0.005 on average for users with different writing styles. Subjective feedback shows that our solution has a good performance in system practicability and social acceptance. Empirically, we conducted a heuristic study to explore and identify the best interaction Position-Posture Correlation. Experimental results show that our Handwriting Velcro excels similar work [6] and commercial product in both practicality (12.3 WPM) and user-friendliness in different contexts.

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D-Swime

Cited by 28 publications

References 41 publications

Exploring the Design Space of Badge Based Input

Exploring the Design Space of Badge Based Input

Designing and implementing accessible wearable interactions for people with motor impairments

Handwriting Velcro

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