iText: Hands-free Text Entry on an Imaginary Keyboard for Augmented Reality Systems

2021 ◽  
Author(s):  
Xueshi Lu ◽  
Difeng Yu ◽  
Hai-Ning Liang ◽  
Jorge Goncalves
2019 ◽  
Vol 25 (5) ◽  
pp. 1991-2001 ◽  
Author(s):  
Wenge Xu ◽  
Hai-Ning Liang ◽  
Yuxuan Zhao ◽  
Tianyu Zhang ◽  
Difeng Yu ◽  
...  

2013 ◽  
Vol 5 (3) ◽  
pp. 42-61 ◽  
Author(s):  
Nikola Banovic ◽  
Koji Yatani ◽  
Khai N. Truong

Mobile text entry methods traditionally have been designed with the assumption that users can devote full visual and mental attention on the device, though this is not always possible. The authors present their iterative design and evaluation of Escape-Keyboard, a sight-free text entry method for mobile touch-screen devices. Escape-Keyboard allows the user to type letters with one hand by pressing the thumb on different areas of the screen and performing a flick gesture. The authors then examine the performance of Escape-Keyboard in a study that included 16 sessions in which participants typed in sighted and sight-free conditions. Qualitative results from this study highlight the importance of reducing the mental load with using Escape-Keyboard to improve user performance over time. The authors thus also explore features to mitigate this learnability issue. Finally, the authors investigate the upper bound on the sight-free performance with Escape-Keyboard by performing theoretical analysis of the expert peak performance.


2019 ◽  
Vol 25 (7) ◽  
pp. 2513-2513
Author(s):  
Wenge Xu ◽  
Hai-Ning Liang ◽  
Yuxuan Zhao ◽  
Tianyu Zhang ◽  
Difeng Yu ◽  
...  

Author(s):  
Yulia Gizatdinova ◽  
Oleg Špakov ◽  
Outi Tuisku ◽  
Matthew Turk ◽  
Veikko Surakka
Keyword(s):  

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S325-S326 ◽  
Author(s):  
Waleed Javaid ◽  
Shaelyn Cavanaugh ◽  
Christina Lupone ◽  
Telisa Stewart ◽  
Tasaduq Fazili ◽  
...  

Abstract Background Requiring indications for antimicrobial orders can allow stewardship programs to evaluate adherence to guidelines and assess outcomes. We extracted indication data from our institution’s EPIC system and found that in a 29-month time frame there were 12,218 uniquely entered indications. Only 136 of these were standardized drop-down (fixed) menu options; the rest were entered manually (free-text). Enormous variation in these uniquely typed entries emphasizes the value and necessity of fixed indication options to allow for better evaluation of stewardship program outcomes. Methods We evaluated the 718 most commonly used indications accounting for a total of 113,741 unique antibiotic orders for 42,665 patients. We excluded indications used for less than 36 orders during the study period. We analyzed the characteristics of these orders to identify opportunities for improvement in indication documentation and developed a new list of less than 200 indications that could account for nearly all of the various indications entered. Results 66,404 (58%) orders were placed using fixed options available in the menu (Figure 1). 32,427 (29%) orders were placed with no indication listed. The remaining 14,910 (13%) orders were documented with free-text indications. Within these manual entries, 59% were identical or nearly identical to an option that was available in the drop down menu. 37% of free-text indications could not be appropriately placed with an option available in the menu. For example, the menu contained a fixed option for “Severe C. difficile infection” forcing all non-severe cases to be entered as varied free-text alternatives (Figures 2 and 3). Conclusion In our sample, use of fixed menu options was high but robust evaluation of proper antimicrobial use was substantially limited by failure to document indication and free-text entry by providers. Free-text entry and blank fields can be used as quality metrics, with high use indicating poor quality. We recommend that standard comprehensive indication lists are developed, providers are encouraged and empowered to utilize menu options consistently, and computerized order systems are programmed to prevent orders from being placed without an indication listed. Disclosures All authors: No reported disclosures.


Author(s):  
Zheer Xu ◽  
Pui Chung Wong ◽  
Jun Gong ◽  
Te-Yen Wu ◽  
Aditya Shekhar Nittala ◽  
...  
Keyword(s):  

Author(s):  
Kentaro Go ◽  
Mei Kikawa ◽  
Yuichiro Kinoshita ◽  
Xiaoyang Mao
Keyword(s):  

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