Quasi-qwerty soft keyboard optimization

Bi, Xiaojun; Smith, Barton A.; Zhai, Shumin

doi:10.1145/1753326.1753367

Cited by 100 publications

(68 citation statements)

References 6 publications

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“…The probability of any key sequence being E_ is thus 0.033. The top key combination probabilities 2 We discuss the triple-optimized keyboards and the Pareto process in full below. However, running our Pareto optimization process resulted in over 24 000 keyboards on the final "surface".…”

Section: Finger Distance Metricmentioning

confidence: 99%

“…having A and E as neighbours leads to many single key tap errors giving valid words: end instead of and, ha instead of he, been instead of bean etc.). As with the bigram table, we converted to probabilities by dividing the score by the total score for all combinations to give a top badgrams 2 The aim of the tap clarity optimizer was to reduce the total ambiguity for keys that were adjacent in the layout, which should maximize the effectiveness of a spell corrector to correctly interpret taps. This metric is defined as: )*_,-).…”

Section: Tap Interpretation Clarity Metric (Neighbour Ambiguity)mentioning

confidence: 99%

“…While achieving very promising expert user performance predictions, these layouts have had very low adoption rates as users tend to favour the familiar Qwerty layout. Bi, Smith and Zhai [2] proposal was a middle ground: they allowed keys to be moved around to optimize a layout but restricted the distance to 1 key away from the home key. We have followed their general approach but softened this rule by imposed a strong weighting against keys which move far from their Qwerty layout position.…”

Section: Familiarity To Qwerty Metricmentioning

confidence: 99%

“…Bi, Smith and Zhai [2] introduced a novel approach to keyboard optimization to attempt to overcome the initial hostility of users to alternative layouts. They allowed the keys of a Qwerty layout to shuffle by at most one position from their original location to achieve a quasi-optimized Qwerty variant.…”

Section: Introductionmentioning

confidence: 99%

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Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking

Dunlop

Levine

2012

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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This paper presents a new optimization technique for keyboard layouts based on Pareto front optimization. We used this multifactorial technique to create two new touchscreen phone keyboard layouts based on three design metrics: minimizing finger travel distance in order to maximize text entry speed, a new metric to maximize the quality of spell correction by reducing tap ambiguity, and maximizing familiarity through a similarity function with the standard Qwerty layout. The paper describes the optimization process and resulting layouts for a standard trapezoid shaped keyboard and a more rectangular layout. Fitts' law modelling shows a predicted 11% improvement in entry speed without taking into account the significantly improved error correction potential and the subsequent effect on speed. In initial user tests typing speed dropped from approx. 21 wpm with Qwerty to 13 wpm (64%) on first use of our layout but recovered to 18 wpm (85%) within four short trial sessions, and was still improving. NASA TLX forms showed no significant difference on load between Qwerty and our new layout use in the fourth session. Together we believe this shows the new layouts are faster and can be quickly adopted by users.

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Section: Finger Distance Metricmentioning

confidence: 99%

Section: Tap Interpretation Clarity Metric (Neighbour Ambiguity)mentioning

confidence: 99%

Section: Familiarity To Qwerty Metricmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking

Dunlop

Levine

2012

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…Text entry tasks and keyboard design (e.g., QWERTY and variations) make a case in point: users have quite linearised tasks (typing text) and all digits are normally in use (Bi, Smith, & Zhai, 2010). Collecting accurate data on how people really use devices would be insightful.…”

Section: C8 More Than One Fingermentioning

confidence: 99%

Action graphs and user performance analysis

Thimbleby

2013

International Journal of Human-Computer Studies

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Designer Led Computational Approach to Generate Mappings for Devices with Low Gestural Resolution

Montano-Murillo

Han

Irani

et al. 2019

Human-Computer Interaction – INTERACT 2019

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We present an approach for the semi-automatic generation of gesture mappings for devices with low gestural resolution such as the Myo Armband, an off-the-shelf EMG capture device. As an exemplar interactive task, we use text-entry: a pervasive and highly complex interaction. We quantify data related to interaction combining systematic studies (i.e., error, speed, accuracy) and semi-structured workshops with experts (e.g., cognitive load, heuristics). We then formalize these factors in a mathematical model and use optimization algorithms (i.e. simulated annealing) to find an optimum gesture mapping. We demonstrated our method in a text-entry application (i.e., complex interactive dialogue) comparing our approach with other computationally determined mappings using naive cost functions. Our results showed that the designers mapping (with all factors weighted by designers) presented a good balance on performance in all factors involved (speed, accuracy, comfort, memorability, etc.), consistently performing better than purely computational mappings. The results indicate that our hybrid approach can yield better results than either pure user-driven methodologies or pure data-driven approaches, for our application context featuring a large solution space and complex high-level factors.

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Quasi-qwerty soft keyboard optimization

Cited by 100 publications

References 6 publications

Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking

Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking

Action graphs and user performance analysis

Designer Led Computational Approach to Generate Mappings for Devices with Low Gestural Resolution

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