Text Entry on Tiny QWERTY Soft Keyboards

Leiva, Luis A.; Sahami, Alireza; Catalá, Alejandro; Henze, Niels; Schmidt, Albrecht

doi:10.1145/2702123.2702388

Cited by 79 publications

(32 citation statements)

References 46 publications

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“…Three pairs were used, text entry on a smartwatch was omitted. Text entry on such a small screen is impractical and remains an area of open research [17]. Finally expression of the query could be a statement or in the form of keywords.…”

Section: Information Need Surveymentioning

confidence: 99%

Evaluating the Social Acceptability of Voice Based Smartwatch Search

Efthymiou

Halvey

2016

Lecture Notes in Computer Science

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Abstract. There has been a recent increase in the number of wearable (e.g. smartwatch, interactive glasses, etc.) devices available. Coupled with this there has been a surge in the number of searches that occur on mobile devices. Given these trends it is inevitable that search will become a part of wearable interaction. Given the form factor and display capabilities of wearables this will probably require a different type of search interaction to what is currently used in mobile search. This paper presents the results of a user study focusing on users'perceptions of the use of smartwatches for search. We pay particular attention to social acceptability of different search scenarios, focussing on input method, device form and information need. Our findings indicate that audience and location heavily influence whether people will perform a voice based search. The results will help search system developers to support search on smartwatches.

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Section: Information Need Surveymentioning

confidence: 99%

Evaluating the Social Acceptability of Voice Based Smartwatch Search

Efthymiou

Halvey

2016

Lecture Notes in Computer Science

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“…Although effective, these techniques sacrifice the simplicity and intuitiveness of direct touch, and largely reduce efficiency. For example, small-screen software keyboards based on such techniques [15,16] achieved only 25% of the input speed of direct input techniques [3,25].…”

Section: Introductionmentioning

confidence: 99%

Investigating Effects of Post-Selection Feedback for Acquiring Ultra-Small Targets on Touchscreen

Wen

Xiong

et al. 2016

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

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In this paper, we investigate the effects of post-selection feedback for acquiring ultra-small (2-4mm) targets on touchscreens. Post-selection feedback shows the contact point on touchscreen after a user lifts his/her fingers to increase users' awareness of touching. Three experiments are conducted progressively using a single crosshair target, two reciprocally acquired targets and 2D random targets. Results show that in average post-selection feedback can reduce touch error rates by 78.4%, with a compromise of target acquisition time no more than 10%. In addition, we investigate participants' adjustment behavior based on correlation between successive trials. We conclude that the benefit of post-selection feedback is the outcome of both improved understanding about finger/point mapping and the dynamic adjustment of finger movement enabled by the visualization of the touch point. Author KeywordsTouch behavior; Ultra-small targets; Post-selection feedback. Finger down t = 0 msRipple contracts t = 50 ms Ripple contracts t = 200 ms Ripple finishes t = 400 msPermission to make digital

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“…In this type of UI, various touching events (combinations of touching elements and duration) and efficient layouts of touch UI are considered important. Beats [4], SplitBoard [5], SwipeBoard [6], TinyQwerty [7] are projects based on this pattern of UI. Contact-based UI such as [8] [9] [10] enable the user to either touch or manipulate smartwatch face, bezel, and exterior for interactions.…”

Section: B Wearable Ui/uxmentioning

confidence: 99%

Exploiting Ambient Light Sensor for Authentication on Wearable Devices

Yoon

Park

Lee

2015

2015 Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic (CyberSec)

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Wearable devices are computationally rich, portable and wearable to suit users in various needs and situations. Still, users of wearable devices suffer from lack of efficient input methods and proper feedback modality. In this paper, we design and implement a novel input method exploiting readily available ambient light sensor on wearable devices. We present concepts and implementation results of re-purposing the light sensor for user input and processing UI events. Furthermore, a PIN entry application based on the proposed input method is implemented to demonstrate a device authentication scenario for wearables.

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Text Entry on Tiny QWERTY Soft Keyboards

Cited by 79 publications

References 46 publications

Evaluating the Social Acceptability of Voice Based Smartwatch Search

Evaluating the Social Acceptability of Voice Based Smartwatch Search

Investigating Effects of Post-Selection Feedback for Acquiring Ultra-Small Targets on Touchscreen

Exploiting Ambient Light Sensor for Authentication on Wearable Devices

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