Eyes-free text entry on a touchscreen phone

Tinwala, Hussain; MacKenzie, I. Scott

doi:10.1109/tic-sth.2009.5444381

Cited by 34 publications

(31 citation statements)

References 17 publications

(17 reference statements)

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“…Overall, these results are quite good. The entry speeds are faster than the 7.6 wpm observed in our earlier experiment [16] and faster than the novice entry rate of 7.0 wpm for Graffiti reported by Fleetwood et al [4].…”

Section: Entry Speedcontrasting

confidence: 54%

“…In earlier work, we presented a gesture-based text entry interface using Graffiti (an example of Unistrokes [5]) for eyes-free input on a touchscreen device [16]. The system provided visual feedback but eyes-free entry was also possible using auditory and tactile stimuli.…”

Section: Overview Of the Original Prototypementioning

confidence: 99%

“…The OneLetter mode may result in slightly less throughput but better accuracy due to the requirement of a valid first stroke. The Immediate mode was tested as a baseline for comparison against the original interaction method [16].…”

Section: Evaluating the Interactionmentioning

confidence: 99%

“…Similar to the previous experiment [16], KSPC was used to measure the overhead of user error correction on text entry. If entry was perfect, the number of strokes equals the number of characters and KSPC = 1.…”

Section: Kspc Analysismentioning

confidence: 99%

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Eyes-free text entry with error correction on touchscreen mobile devices

Tinwala

MacKenzie

2010

Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

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We present an eyes-free text entry method for mobile touchscreen devices. Input progresses by inking Graffiti strokes using a finger on a touchscreen. The system includes a word-level error correction algorithm. Auditory and tactile feedback guide eyes-free entry using speech and non-speech sounds, and by vibrations. In a study with 12 participants, three different feedback modes were tested. Entry speed, accuracy, and algorithm performance were compared between the three feedback modes. An overall entry speed of 10.0 wpm was found with a maximum rate of 21.5 wpm using a feedback mode that required a recognized stroke at the beginning of each word. Text was entered with an overall accuracy of 95.7%. The error correction algorithm performed well: 14.9% of entered text was corrected on average, representing a 70.3% decrease in errors compared to no algorithm. Where multiple candidates appeared, the intended word was 1 st or 2 nd in the list 94.2% of the time.

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Section: Entry Speedcontrasting

confidence: 54%

Section: Overview Of the Original Prototypementioning

confidence: 99%

Section: Evaluating the Interactionmentioning

confidence: 99%

Section: Kspc Analysismentioning

confidence: 99%

See 2 more Smart Citations

Eyes-free text entry with error correction on touchscreen mobile devices

Tinwala

MacKenzie

2010

Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

Self Cite

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“…Tinwala and MacKenzie developed a system based on Graffiti strokes for eyes-free text entry [4]. While the system is targeted at non-visual use, Graffiti strokes require the user to trace complicated forms (e.g., english letters) onto the screen.…”

Section: Eyes-free Single-touch Text Entry On Touchscreensmentioning

confidence: 99%

No-Look Notes: Accessible Eyes-Free Multi-touch Text Entry

Bonner

Brudvik

Abowd

et al. 2010

Lecture Notes in Computer Science

125

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Abstract. Mobile devices with multi-touch capabilities are becoming increasingly common, largely due to the success of the Apple iPhone and iPod Touch. While there have been some advances in touchscreen accessibility for blind people, touchscreens remain inaccessible in many ways. Recent research has demonstrated that there is great potential in leveraging multi-touch capabilities to increase the accessibility of touchscreen applications for blind people. We have created No-Look Notes, an eyes-free text entry system that uses multi-touch input and audio output. No-Look Notes was implemented on Apple's iPhone platform. We have performed a within-subjects (n = 10) user study of both No-Look Notes and the text entry component of Apple's VoiceOver, the recently released official accessibility component on the iPhone. No-Look Notes significantly outperformed VoiceOver in terms of speed, accuracy and user preference.

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Situationally-Induced Impairments and Disabilities

Wobbrock

2019

Human–Computer Interaction Series

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Eyes-free text entry on a touchscreen phone

Cited by 34 publications

References 17 publications

Eyes-free text entry with error correction on touchscreen mobile devices

Eyes-free text entry with error correction on touchscreen mobile devices

No-Look Notes: Accessible Eyes-Free Multi-touch Text Entry

Situationally-Induced Impairments and Disabilities

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