Phrase sets for evaluating text entry techniques

MacKenzie, I. Scott; Soukoreff, R. William

doi:10.1145/765968.765971

Cited by 209 publications

(190 citation statements)

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“…However, ZoomBoard that showed the highest CPM in the previous studies might be comparable to VSQ because the experimental conditions of VSQ and ZoomBoard were quite similar. Prototypes in these researches for the experiments were carried out on tablets including MS Surface Pro 3 and Apple iPad 3 but not on the smartwatches, and also used the same phrase sets by MacKenzie and Soukoreff (2003) for the text entry tasks. Therefore, we can deduce that ZoomBoard was conducted in comparable experimental conditions compared to previous studies.…”

Section: Discussionmentioning

confidence: 99%

Virtual Sliding QWERTY: A new text entry method for smartwatches using Tap-N-Drag

2015

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Section: Discussionmentioning

confidence: 99%

Virtual Sliding QWERTY: A new text entry method for smartwatches using Tap-N-Drag

2015

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“…For the experiment, data collection began with the first selection blink for each phrase and ended upon completion of that phrase. The phrases were chosen randomly from a standard set of 500 phrases used for evaluating text entry systems [20]. Phrase lengths ranged from 16 characters to 43 characters (mean = 28.6).…”

Section: Methodsmentioning

confidence: 99%

BlinkWrite: efficient text entry using eye blinks

MacKenzie

Ashtiani

2010

Univ Access Inf Soc

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In this paper, a new text entry system is proposed, implemented, and evaluated. BlinkWrite provides a communication gateway for cognitively able motorimpaired individuals who cannot use a traditional eyetracking system. In contrast to most hands-free systems, BlinkWrite allows text to be entered and corrected using a single input modality: blinks. The system was implemented using a scanning ambiguous keyboard, a new form of scanning keyboard that allows English text to be entered in less than two scanning intervals per character. In a user study, 12 participants entered text using the system with three settings for scanning interval: 1,000, 850, and 700 ms. An average text entry rate of 4.8 wpm was observed with accuracy [97%. The highest average text entry rate was achieved with the scanning interval of 850 ms.

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“…One trial consisted of entering twenty words, randomly selected from a set of 150 words, and displayed one at a time at the top line on the screen of the experimenter. The words were taken from the list of the Words Frequencies [26] according to the recommendations from [15], and by taking into account that the test subjects were not native English speakers.…”

Section: Procedures For Testing the Methodsmentioning

confidence: 99%

Adaptive blind interaction technique for touchscreens

Yfantidis

Evreinov

2005

Univ Access Inf Soc

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This paper describes the development of a new technique for touchscreen interaction, based on a single gesture-driven adaptive software button. The button is intended to substitute the software keyboard, and provides text-entry functionality. Input is accomplished through recognition of finger gestures that is comprised of movement towards the eight basic directions in any position. The target user group of such an interaction technique is primarily blind people who could benefit significantly. The adaptability of the button provides complementary help and follows the style of interaction in a natural way. The analysis of the results, collected from twelve blindfolded subjects, revealed an encouraging tendency. During blind manipulation on touch screen, three of the subjects achieved a maximal typing speed of about 12 wpm after five trials. This suggests that the technique developed is reliable and robust enough to be possibly applied to diverse application platforms, including personal device assistants.

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Phrase sets for evaluating text entry techniques

Cited by 209 publications

References 0 publications

Virtual Sliding QWERTY: A new text entry method for smartwatches using Tap-N-Drag

Virtual Sliding QWERTY: A new text entry method for smartwatches using Tap-N-Drag

BlinkWrite: efficient text entry using eye blinks

Adaptive blind interaction technique for touchscreens

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