CommandBoard

Alvina, Jessalyn; Griggio, Carla F.; Bi, Xiaojun; Mackay, Wendy E.

doi:10.1145/3126594.3126639

Cited by 21 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) We offer a post hoc correction algorithm that infers a user's correction intention in the current entered sentence based on the newly entered word. (2) In our user study, we found both tap typing and gesture typing are appropriate input modalities for JustCorrect. Based on these fndings, we propose two forms of JustCorrect: JustCorrect-Tap and JustCorrect-Gesture.…”

Section: Introductionmentioning

confidence: 80%

JustCorrect

Cui

Zhu

Zhang

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

Self Cite

View full text Add to dashboard Cite

Correcting errors in entered text is a common task but usually diffcult to perform on mobile devices due to tedious cursor navigation steps. In this paper, we present JustCorrect, an intelligent post hoc text correction technique for smartphones. To make a correction, the user simply types the correct text at the end of their current input, and JustCorrect will automatically detect the error and apply the correction in the form of an insertion or a substitution. In this way, manual navigation steps are bypassed, and the correction can be committed with a single tap. We solved two critical problems to support Just-Correct: (1) Correction Algorithm: we propose an algorithm that infers the user's correction intention from the last typed word. (2) Input Modalities: our study revealed that both tap and gesture were suitable input modalities for performing Just-Correct. Based on our fndings, we integrated JustCorrect into a soft keyboard. Our user studies show that using JustCorrect reduces the text correction time by 12.8% over the stock Android keyboard and by 9.7% over the "Type, then Correct" text correction technique by Zhang et al. (2019). Overall, JustCorrect complements existing post hoc text correction techniques, making error correction more automatic and intelligent.

show abstract

Section: Introductionmentioning

confidence: 80%

JustCorrect

Cui

Zhu

Zhang

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…We could push the idea of Keyword Search Bar further by letting users choose if they want to execute the feature right away as proposed by [1,25], or rather learn how to find the feature within the UI (as described in the current Keyword Search Bar concept). This insight points to new dimensions to support expertise transfer across modality, for example between hotkeys and gesture shortcuts.…”

Section: Discussion and Implications For Designmentioning

confidence: 99%

“…For example, P46 failed to edit a MS Word file on her smartphone because she could not find the 'undo' icon: "I needed to fill-in a grid (skills questionnaire) that was fairly short and I could potentially type up everything using a smartphone. There is no 'undo' feature that would correct messed up formatting changes" -this is particularly interesting since the mobile app of MS Word actually includes an 'undo' feature, but users must scroll the icon bar to access it 1 . Similarly, P8 thought that the "Heading" feature was missing from the smartphone version of Google Doc, but during the follow-up interview, she immediately located the feature as she was showing her mobile app.…”

Section: Switching From Pc To Smartphone Versions Was Frustratingmentioning

confidence: 99%

“…Technical Frustrations. Some technical frustrations mentioned in the stories included difficulties reading and typing on a small device (5%), synchronization failures (7%), privacy concerns 1 Based on MS Word's Android version, updated in September 2019 (1%), and that some applications require updates or installing several mobile applications (1%). For example, P14 reported, "The [mobile] version keeps telling me to update the app, but my smartphone is pretty full so it's sometimes hard to update".…”

Section: Switching From Pc To Smartphone Versions Was Frustratingmentioning

confidence: 99%

See 1 more Smart Citation

Where is that Feature?

Alvina

Bunt

Chilana

et al. 2020

Proceedings of the 2020 ACM Designing Interactive Systems Conference

Self Cite

View full text Add to dashboard Cite

People increasingly access cross-device applications from their smartphones while on the go. Yet, they do not fully use the mobile versions for complex tasks, preferring the desktop version of the same application. We conducted a survey (N=77) to identify challenges when switching back and forth between devices. We discovered significant cross-device learnability issues, including that users often find exploring the mobile version frustrating, which leads to prematurely giving up on using the mobile version. Based on the findings, we created four design concepts as video prototypes to explore how to support cross-device learnability. The concepts vary in four key dimensions: the device involved, automation, temporality, and learning approach. Interviews (N=20) probing the design concepts identified individual differences affecting cross-device learning preferences, and that users are more motivated to use cross-device applications when offered the right crossdevice learnability support. We conclude with future design directions for supporting seamless cross-device learnability.

show abstract

“…CommandBoard [1] takes advantage of the user's ability to recall command names: users simply gesture-type the command, followed by an 'execute' /\ gesture above the keyboard, to invoke it. Gestures that stop within the keyboard area are interpreted as words, whereas gestures that end in the space above are interpreted as commands.…”

Section: Mojiboard Background Rationalementioning

confidence: 99%

MojiBoard

Alvina

McGrenere

et al. 2019

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Self Cite

View full text Add to dashboard Cite

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

CommandBoard

Cited by 21 publications

References 24 publications

JustCorrect

JustCorrect

Where is that Feature?

MojiBoard

Contact Info

Product

Resources

About