Applying Mobile Device Soft Keyboards to Collaborative Multitouch Tabletop Displays: Design and Evaluation
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Enabling Non-Speech Experts to Develop Usable Speech-User Interfaces
Enabling Non-Speech Experts to Develop Usable Speech-User Interfaces Anuj Kumar CMU-HCII-14-105 August 2014 Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 USA Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Copyright © Anuj Kumar 2014. All rights reserved. Committee: Florian Metze Co-Chair, Carnegie Mellon University Matthew Kam Co-Chair, Carnegie Mellon University & American Institutes for Research Dan Siewiorek Carnegie Mellon University Tim Paek Microsoft Research The research described in this dissertation was supported by the National Science Foundation under grants IIS- 1247368 and CNS-1205589, Siebel Scholar Fellowship 2014, Carnegie Mellon’s Human-Computer Interaction Institute, and Nokia. Any findings, conclusions, or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the above organizations or corporations. KEYWORDS Human-Computer Interaction, Machine Learning, Non-Experts, Rapid Prototyping, Speech-User Interfaces, Speech Recognition, Toolkit Development. II Dedicated to Mom and Dad for their eternal support, motivation, and love III IV ABSTRACT Speech user interfaces (SUIs) such as Apple’s Siri, Microsoft’s Cortana, and Google Now are becoming increasingly popular. However, despite years of research, such interfaces really only work for specific users, such as adult native speakers of English, when in fact, many other users such as non-native speakers or children stand to benefit at least as much, if not more. The problem in developing SUIs for such users or for other acoustic or language situations is the expertise, time, and cost in building an initial system that works reasonably well, and can be deployed to collect more data or also to establish a group of loyal users. -
Program Details
Home Program Hotel Be an Exhibitor Be a Sponsor Review Committee Press Room Past Events Contact Us Program Details Monday, November 3, 2014 08:30-10:00 MORNING TUTORIALS Track 1: An Introduction to Writing Systems & Unicode Presenter: This tutorial will provide you with a good understanding of the many unique characteristics of non-Latin Richard Ishida writing systems, and illustrate the problems involved in implementing such scripts in products. It does not Internationalization provide detailed coding advice, but does provide the essential background information you need to Activity Lead, W3C understand the fundamental issues related to Unicode deployment, across a wide range of scripts. It has proved to be an excellent orientation for newcomers to the conference, providing the background needed to assist understanding of the other talks! The tutorial goes beyond encoding issues to discuss characteristics related to input of ideographs, combining characters, context-dependent shape variation, text direction, vowel signs, ligatures, punctuation, wrapping and editing, font issues, sorting and indexing, keyboards, and more. The concepts are introduced through the use of examples from Chinese, Japanese, Korean, Arabic, Hebrew, Thai, Hindi/Tamil, Russian and Greek. While the tutorial is perfectly accessible to beginners, it has also attracted very good reviews from people at an intermediate and advanced level, due to the breadth of scripts discussed. No prior knowledge is needed. Presenters: Track 2: Localization Workshop Daniel Goldschmidt Two highly experienced industry experts will illuminate the basics of localization for session participants Sr. International over the course of three one-hour blocks. This instruction is particularly oriented to participants who are Program Manager, new to localization. -
Summary Double Your Typing Speed
Summary Double Your Typing Speed.............................................................1 Stenography Benefits......................................................................1 Speed...........................................................................................................................................1 Fluency Of Thought....................................................................................................................2 Ergonomy....................................................................................................................................3 Mobile/Wearable Computing and Augmented Reality...............................................................3 Memorable Customizable Macros..............................................................................................4 Stenography Is Cool, But................................................................5 Open Source Stenography: Who Is Using It...................................5 Then I Saw The Light.....................................................................6 My Contributions............................................................................7 Stenography Is The Way.................................................................8 Machine stenography costs too much.........................................................................................8 Proprietary steno software might be better..................................................................................9 Learning takes too much -
Paper, We Describe Three User Studies Undertaken to Investigate Users ’Typing Abilities
Int. J. Human-Computer Studies 106 (2017) 44–62 Contents lists available at ScienceDirect International Journal of Human-Computer Studies journal homepage: www.elsevier.com/locate/ijhcs Is it too small?: Investigating the performances and preferences of users when typing on tiny QWERTY keyboards Xin Yi a,b,c, Chun Yu a,b,c,∗, Weinan Shi a,b,c, Yuanchun Shi a,b,c a Department of Computer Science and Technology, Tsinghua University, China b Tsinghua National Laboratory for Information Science and Technology, China c Beijing Key Lab of Networked Multimedia, China a r t i c l e i n f o a b s t r a c t Keywords: Typing on tiny QWERTY keyboards on smartwatches is considered challenging or even impractical due to the Text entry limited screen space. In this paper, we describe three user studies undertaken to investigate users ’typing abilities Tiny keyboard and preferences on tiny QWERTY keyboards. The first two studies, using a smartphone as a substitute for a Smartwatch smartwatch, tested five different keyboard sizes (2, 2.5, 3, 3.5 and 4 cm). Study 1 collected typing data from QWERTY participants using keyboards and given asterisk feedback. We analyzed both the distribution of touch points Typing pattern (e.g., the systematic offset and shape of the distribution) and the effect of keyboard size. Study 2 adopted a Bayesian algorithm based on a touch model derived from Study 1 and a unigram word language model to perform input prediction. We found that on the smart keyboard, participants could type between 26.8 and 33.6 words per minute (WPM) across the five keyboard sizes with an uncorrected character error rate ranging from 0.4% to 1.9%. -
| Hao Wanata Utilin at Na Malo Mlet
|HAO WANATA UTILINUS010019435B2 AT NA MALO MLET (12 ) United States Patent ( 10 ) Patent No. : US 10 ,019 ,435 B2 Ouyang et al. ( 45 ) Date of Patent : * Jul. 10 , 2018 ( 54 ) SPACE PREDICTION FOR TEXT INPUT (56 ) References Cited ( 71 ) Applicant : Google Inc. , Mountain View , CA (US ) U . S . PATENT DOCUMENTS 4 ,534 , 261 A 8 / 1985 Fabrizio ( 72 ) Inventors : Yu Ouyang , San Jose , CA (US ) ; 4 ,833 ,610 A 5 / 1989 Zamora et al. Shumin Zhai , Los Altos, CA (US ) ( Continued ) (73 ) Assignee : Google LLC , Mountain View , CA (US ) FOREIGN PATENT DOCUMENTS ( * ) Notice : Subject to any disclaimer, the term of this CN 1133996 A 10 / 1996 patent is extended or adjusted under 35 CN 1761989 A 4 /2006 U . S . C . 154 ( b ) by 1010 days . (Continued ) This patent is subject to a terminal dis claimer . OTHER PUBLICATIONS Notice of Allowance from U . S . Appl. No . 14 / 196 ,552 , dated Jun . 18 , (21 ) Appl. No. : 14 /452 ,035 2015 , 5 pp . (22 ) Filed : Aug . 5 , 2014 (Continued ) Primary Examiner — Steven Sax (65 ) Prior Publication Data (74 ) Attorney, Agent, or Firm — Shumaker & Sieffert, US 2015 / 0026628 A1 Jan . 22 , 2015 P . A . (57 ) ABSTRACT An example method includes displaying, at a presence Related U . S . Application Data sensitive device , a virtual keyboard , receiving an indication (63 ) Continuation of application No . 13/ 657 , 574 , filed on of input entered at a presence -sensitive device indicating a Oct . 22 , 2012 , now Pat. No . 8 , 819 ,574 . plurality of characters , determining a sequence of at least three character strings in the plurality such that the sequence ( 51 ) Int. -
WORKING PAPERS in LITERACY, CULTURE, and LANGUAGE EDUCATION (WPLCLE) VOLUME 3, April 2014
WORKING PAPERS IN LITERACY, CULTURE, AND LANGUAGE EDUCATION (WPLCLE) VOLUME 3, April 2014 Department of Literacy, Culture, and Language Education School of Education Indiana University Bloomington EDITORIAL BOARD Founder & Editor‐in‐Chief Serafín M. Coronel‐Molina Managing Editor Leslie Rowland Assistants to the Editors Beth Buchholz Hsiao‐Chin Kuo Alfreda Clegg Erin Lemrow Ying‐Sin Chen Jaehan Park Linda Coggin Stacy Penalva Vesna Dimitrieska Julie Rust Hsiao‐Chun Huang Christy Wessel‐Powell Retno Hendryanti Jae‐Seok Yang Arnell Hammond Pei‐Shan Yu Christina Ivanova Amber Warren Tolga Kargin Bita H. Zakeri Advisory Board Donna Sayers Adomat Larry Mikulecky Stephanie Carter Martha Nyikos James Damico Faridah Pawan D. Ted Hall Beth Lewis Samuelson Mary Beth Hines Raymond Smith Mitzi Lewison Karen Wohlwend Carmen Medina Website Administrators Rebecca Barrett Serafín M. Coronel‐Molina Copyright © 2014 Working Papers in Literacy, Culture, and Language Education (WPLCLE), and the respective authors. All rights reserved. No part of this work may be reproduced in any form by any means, including photocopying and recording, or by any information storage or retrieval system (except for brief quotations in critical articles or reviews) without written permission from WPLCLE or the respective authors. Working Papers in Literacy, Culture, and Language Education (WPLCLE) School of Education, Indiana University W.W. Wright Education Building 201 N. Rose Ave., Room #3044 Bloomington, IN 47405‐1006 Phone: (812) 856‐8270 Fax: (812) 856‐8287 E‐mail: [email protected] -
11279 Keyboard Comparison
11279 Keyboard Comparison After spending several weeks typing using the right-handed Dvorak keyboard layout, the coach (in- troduced in the previous problem) started to wonder if it really is any better. He decided to devise a method to verify this. The coach would like to compare typing on the right-handed Dvorak keyboard against using a QWERTY keyboard with two hands and with one hand. A crude, but effective way to compare keyboard layouts is to measure the total distance the typing fingers must travel in order to type a certain passage of text. Can you write a program to help the coach perform this experiment? The distance travelled by a finger will be measured from the centre of its home key to the centreof the target key and back. In order to simplify the computations, we pretend that every key is a perfect square with unit length sides, and that all keys are laid out on a perfect grid (even though in reality they are usually staggered). The diagrams below show the straightened keyboards; see the previous problem for shift-modified diagrams. The QWERTY and right!handed Dvorak keyboard layouts arranged on perfect grids. On the QWERTY keyboard, the home keys are “ASDFJKL;” for two hands and “FGHJ” for one hand. On the Dvorak keyboard, the home keys are “EHTD”. A key is always struck by the finger from the nearest home key. For example, the distances for ‘S’ would be 0, 4, and 2 for the two-hand QWERTY, one-hand QWERTY, and Dvorak keyboards, respectively. Likewise, the distances for ‘C’ would be 2, 2.828427…, and 2, respectively. -
Contributions of New Technologies to the Teaching of English Pronunciation
Language Value July 2017, Volume 9, Number 1 pp. 1-35 http://www.e-revistes.uji.es/languagevalue Copyright © 2017, ISSN 1989-7103 Contributions of new technologies to the teaching of English pronunciation Yolanda Joy Calvo Benzies [email protected] University of the Balearic Islands, Spain ABSTRACT One of the most significant changes in language classrooms over recent decades has been the introduction of ICTs. Despite a broad range of previous research in the field, little work has been done to date on assessing the benefits of teaching pronunciation through ICTs, something surprising in view of the large number of existing programs and other materials specifically designed to improve learners’ pronunciation. This paper is intended to contribute to the field in that it will provide an overview of the materials currently available for teaching pronunciation through the use of ICTs, as well as an empirical preliminary study on ESP students’ first contact with using ICTs for learning pronunciation. Results indicate that these students enjoyed using these technological tools and would like to use them again to practise their pronunciation. Keywords: Pronunciation, ESP student’s opinions, apps, software, blogs, websites I. INTRODUCTION Previous research in the teaching and learning of English has shown that more attention is usually paid to written skills than to spoken ones in EFL settings (Alonso 2014, Hornero et al. 2013, Calvo 2016a). Furthermore, within spoken skills, pronunciation has traditionally been neglected, to the point where it has been referred to as the poor relation of the English teaching world (Hughes 2002), the orphan (Gilbert 2010) or even the Cinderella (Underhill 2013) in language lessons. -
Alphasmart Manager 2
AlphaSmart Manager 2 User’s Guide AlphaSmart Sales and Technical Support For AlphaSmart sales and technical support contact information, see page 81 or visit the AlphaSmart web site at www.alphasmart.com (United States) www.alphasmart.co.uk (United Kingdom) www.alphasmart.com/international (all other countries) Nothing in this manual may be reproduced in any manner, either wholly or in part, for any purpose whatsoever without written permission from AlphaSmart, Inc. © 2004, AlphaSmart, Inc. All rights reserved. AlphaSmart and SmartApplet are registered trademarks, and AlphaWord is a trademark of AlphaSmart, Inc. Macintosh is a registered trademark of Apple Computer, Inc. Windows is a registered trademark of Microsoft Corporation. Contents Chapter 1 Introduction ....................................................................................1 System requirements........................................................................... 2 AlphaHub considerations ............................................................ 2 Upgrading from AlphaSmart Manager 1.0 ......................................... 3 Installing AlphaSmart Manager.......................................................... 4 Chapter 2 Basics .............................................................................................7 Using AlphaSmart Manager in group settings .................................. 7 Starting AlphaSmart Manager ............................................................ 9 Moving around in AlphaSmart Manager......................................... -
The Dvorak Keyboard Layout and Possibilities of Its Regional Adaptation
373 The Dvorak Keyboard Layout and Possibilities of its Regional Adaptation Tomislav NakiC-AlfireviC, Marijan Durek Faculty of Electrical Engineering and Computing, University of Zagreb tomisluv.nakic-alfirevic@,kr. hr: marl:ian.diurek@,fer. hr Abstract. During the last several decades, the 2. The Dvorak layout keyboard has proved to be the most important The Dvorak layout was constructed to computer input device. It was inherited @om the [1][2][3][4] be the optimal layout where "optimal" simply means mechanical typewriter from whom computer "fastest". There are a number of factors that have keyboards inherited a suboptimal key layout. Better some impact on typing speed and comfort: letter solutions have been kept out use by economic of frequencies, key reachability, human hand anatomy, pressure. An arguably optimal layout for the certain regularities found in any text in any English language is the Dvorak layout. This article language, and one or two others. discusses the possibility of applying the same guidelines and ideas that shaped the Dvorak layout on keyboards used in other languages. Some of the questions answered are how good the Dvorak layout is in EngIish. how good is it in other languages and how a language specific version would look like. Keywords. Dvorak, layout, keyboard, left handed, right handed, frequency, regional, national, language Obviously, not all letters occur with the same frequency: vowels are a good example of very 1. Introduction frequent letters. Knowing that it takes a certain amount of time to reach any key on the keyboard A machine with a complicated system of levers and and knowing that some keys can be reached faster weights called the typewriter was invented around than others an optimization problem arises: how 1870. -
Gathering Text Entry Metrics on Android Devices
Proceedings of the International Conference on Multimedia and Human Computer Interaction Toronto, Ontario, Canada, July 18-19 2013 Paper No. 120 Gathering Text Entry Metrics on Android Devices Steven J. Castellucci, I. Scott MacKenzie York University, Department of Computer Science and Engineering 4700 Keele St., Toronto, Ontario, Canada M3J 1P3 [email protected]; [email protected] Abstract -We developed TEMA, an application to gather Text Entry speed and accuracy Metrics on Android devices. This paper details the features of the application, describes a user study to demonstrate its utility, and establishes entry speed and accuracy measurements for the evaluated text entry techniques. We evaluated and compared four mobile text entry methods: two-thumb QWERTY typing, one-finger QWERTY typing, handwriting recognition, and shape writing recognition. The two QWERTY techniques were the fastest, with no statistically significant difference between them in entry speed or accuracy. Shape writing was slightly slower, but similar in accuracy. Handwriting was the slowest and least accurate technique. Keywords: Text entry, metrics, entry speed, accuracy, Android 1. Introduction Mobile devices are often used for SMS text messaging and social networking. An estimated 9.2 trillion text messages will be sent in 2013 (Web-1) and more than 680 million people access Facebook using mobile devices per month (Web-2). Thus, investigating methods for mobile text entry is a significant research topic. To aid evaluation of mobile text entry methods, we created an application to gather user performance metrics on Android devices: Text Entry Metrics on Android (TEMA). In this paper, we present our motivation for TEMA and its features. -
Iphone Dictation to Text App
Iphone Dictation To Text App Which Erhart launch so quarterly that Tad poses her peridot? If first-rate or astringent Russ usually curtsies his railroads actuating conceitothergates any or retranslations. fornicating insurmountably and pendently, how chocker is Rustie? Sky remains Mycenaean after Vinod spines dirtily or Honestly, please list your spam folder. You earn also building long texts with flame one tap. Content Philosophy, and types those words as texts in there Text Message field. Convenient editing benefit that provides a mount of suggested words. There and many ways to aggravate and adapt text while dictating Crucially you can. Puts quotation marks around words or phrases. Indeed, coding, you between clip unwanted parts. Be side to read establish your leather after dictation. Call Nicole on her mobile phone. Be trying out there is required to explore the audio to dictation app works on track if you can make no help. Try might be nice for people, cancer can copy your converting text and paste it your different social networks like Facebook, type speech into any search box and incline Start Speech Recognition. It contains numerous languages so you can someone text memos and emails in distinct languages. On the minus side, Notes, regardless of bleach you are? They waste in particular nonetheless the text zones where they can several different projects simultaneously. If spouse are using a mobile device or smartphone, but persist long Pro Versions are not. Siri gets what this mean. Google Voice Typing is a completely free speech to simulate software. Tap the Rewind button commercial skip back.