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Gaze-Typing for Everyday Use Keyboard Usability Observations and a "Tolerant'' Keyboard Prototype
DEGREE PROJECT IN INFORMATION AND COMMUNICATION TECHNOLOGY, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 Gaze-typing for Everyday Use Keyboard Usability Observations and a "Tolerant'' Keyboard Prototype JIAYAO YU KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Sammandrag Blick-skrivande möjliggör en ny inmatningskanal, men dess tangentborddesign är inte än redo för dagligt bruk. För att utforska blick-skriftstangentbord för sådant bruk, som är enkla att lära sig använda, snabba att skriva med, och robusta för olika användning, analyserade jag användbarheten hos tre brett använda blick-skriftstangentbord genom en användarstudie med skrivprestationsmätningar, och syntetiserade ett designutrymme för blick-skriftstangentbord för dagsbruk baserat på teman av typningsscheman och tangentbordslayout, feed-back, användarvänlighet för text redigering, och system design. I synnerhet identifierade jag att blick-skriftstangentbord behöver ha "toleranta" designer som tillåter implicit blickkontroll och balans mellan inmatningsambiguitet och typningseffektivitet. Därför prototypade jag ett blick-skriftstangentbord som använder ett formskriftsschema som är avsett för vardagligt skrivande med blickgester, och anpassat till att segmentera blickpunkten när du skriver ord från en kontinuerlig ström av blickdata. Systemet erbjuder realtidsformskrivning i hastigheten 11.70 WPM och felfrekvensen 0.14 utvärderat med en erfaren användare, och har stöd för att skriva fler än 20000 ord från lexikonet. Gaze-typing for Everyday Use: Keyboard Usability Observations and a “Tolerant” Keyboard Prototype Jiayao Yu KTH Royal Institute of Technology, Aalto University Stockholm, Sweden [email protected] Figure 1: Representative gaze-input properties requiring “tolerant” design. Left: Jittering fixations require larger interactive elements. Middle: Gaze are hard to gesture along complex, precise, or long trajectories. -
Ultra-Low-Power Mode for Screenless Mobile Interaction
Session 11: Mobile Interactions UIST 2018, October 14–17, 2018, Berlin, Germany Ultra-Low-Power Mode for Screenless Mobile Interaction ∗ ∗ ∗ Jian Xu, Suwen Zhu, Aruna Balasubramanian , Xiaojun Bi , Roy Shilkrot Department of Computer Science Stony Brook University Stony Brook, New York, USA {jianxu1, suwzhu, arunab, xiaojun, roys}@cs.stonybrook.edu ABSTRACT Smartphones are now a central technology in the daily lives of billions, but it relies on its battery to perform. Battery opti- mization is thereby a crucial design constraint in any mobile OS and device. However, even with new low-power methods, the ever-growing touchscreen remains the most power-hungry component. We propose an Ultra-Low-Power Mode (ULPM) for mobile devices that allows for touch interaction without visual feedback and exhibits significant power savings of up to 60% while allowing to complete interactive tasks. We demon- strate the effectiveness of the screenless ULPM in text-entry tasks, camera usage, and listening to videos, showing only a small decrease in usability for typical users. CCS Concepts •Human-centered computing ! Touch screens; Smart- phones; Mobile phones; •Software and its engineering ! Power management; Author Keywords Power Saving; Mobile System; Text Entry; Touchscreen; INTRODUCTION Smartphones play a crucial role in people’s daily lives. It is Figure 1: Picture of use cases of ULPM. The left shows the now hard to imagine living without a smartphone ready at hand, normal cases of using smartphones to take videos, write text yet this happens to nearly everyone on a daily basis - when the messages and watch online video; The right side shows users device is out of battery. -
Text Prediction Visualizer for Android
Text Prediction Visualizer for Android Daniel Budeanu School of Computing Science Sir Alwyn Williams Building University of Glasgow G12 8QQ Level 4 Project — March 27th, 2015 Abstract With a total of over 2 billions estimated smartphone users for 2015 [8] it can be stated with enough certainty that these small mobile devices have become crucial to the way in which the modern world communicates. One crucial component that aids us in our everyday discussions is represented by the correction system. But even with the help of the various advancements that have been made in the field, there are still situations in which these helping mechanisms fall short of what the user expects. The aim of the project is to alienate this particular issue and provide a way through which a person can influence the decisions taken by the correction system and even overwrite them if needed. Acknowledgements I would like to thank Dr. Simon Rogers for supervising throughout the entire development process of the project as well as providing feedback on the drafts of this report. I would also like to thank Daryl Weir for offering guidance in the incipient phases of implementation. Education Use Consent I hereby give my permission for this project to be shown to other University of Glasgow students and to be distributed in an electronic format. Please note that you are under no obligation to sign this declaration, but doing so would help future students. Name: Signature: i Contents 1 Introduction 1 1.1 Motivation . 1 1.2 Background . 2 1.2.1 Types of touchscreens . -
An Accelerometer-Based Typing Approach for Smartwatches
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UPCommons. Portal del coneixement obert de la UPC InclineType – An Accelerometer-based Typing Approach for Smartwatches Timo Götzelmann Pere-Pau Vázquez Nuremberg Institute of Technology Technical University of Catalonia Keßlerplatz 12 Jordi Girona, 1-3 90489 Nuremberg, Germany E-08034, Barcelona, Spain +49 (0)911 5880 1616 +34 93 413 77 90 [email protected] [email protected] ABSTRACT to privacy. To overcome this limitation, some smart input Small mobile devices such as smartwatches are a rapidly growing techniques have been proposed. In this paper we focus on market. However, they share the issue of limited input and output smartwatches, and present a method for input that makes use of a space which could impede the success of these devices in future. 3-axis accelerometer sensor. Our technique lets the user type by Hence, suitable alternatives to the concepts and metaphors known selecting a key using wrist movements, and single taps. We have from smartphones have to be found. In this paper we present performed an initial user study to determine the feasibility and the InclineType a tilt-based keyboard input that uses a 3-axis performance novice users may achieve with such approach. accelerometer for smartwatches. The user may directly select letters by moving his/her wrist and enters them by tapping on the 2. RELATED WORK touchscreen. Thanks to the distribution of the letters on the edges Typing in devices without hardware keyboards such as the of the screen, the keyboard dedicates a low amount of space in the classical buttons of conventional Blackberry devices may lead to smartwatch. -
Smartphone Input Method Performance, Satisfaction, Workload, and Preference with Younger and Older Novice Adults
SMARTPHONE INPUT METHOD PERFORMANCE, SATISFACTION, WORKLOAD, AND PREFERENCE WITH YOUNGER AND OLDER NOVICE ADULTS A Dissertation by Amanda Lynn Smith Master of Arts, Wichita State University, 2009 Bachelor of Arts, University of Kansas, 2003 Bachelor of Fine Arts, University of Kansas, 2003 Submitted to the Department of Psychology and the faculty of the Graduate School of Wichita State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy May 2013 © Copyright 2013 by Amanda Smith All Rights Reserved SMARTPHONE INPUT MEHOD PERFORMANCE, SATISFACTION, WORKLOAD, AND PREFERENCE WITH YOUNGER AND OLDER NOVICE ADULTS The following faculty members have examined the final copy of this dissertation for form and content, and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Psychology. Barbara S. Chaparro, Committee Chair Alex Chaparro, Committee Member Evan Palmer, Committee Member Darwin Dorr, Committee Member Anthony DiLollo, Committee Member Accepted for the College of Liberal Arts and Sciences Ronald Matson, Dean Accepted for the Graduate School Abu S. Masud, Interim Dean iii DEDICATION To the one who gives me eskimo kisses iv ACKNOWLEDGEMENTS I am sincerely grateful to my advisor, Dr. Barbara Chaparro. I would not have been able to reach this milestone without her unwavering patience, encouragement, and guidance throughout the dissertation process; likewise, through all of my years in graduate school. Thank you for always being so understanding and generous with your time. You are truly appreciated, and I am excited to learn more from you in the coming years! I extend my gratitude to my defense committee members, Dr. -
December 2013 1
Intersteno e In this issue From President's desk ........................................................................ 4 Echoes of Ghent 2013 ........................................................................ 5 United States -North Carolina Verbatim Reporters Association ........................ 5 Switzerland - Der Schweizer Stenograph - SSV ........................................... 5 Switzerland - Il Punto - Veloscritture Ti - Lo .............................................. 6 Czech Republic - - www.zav.cz .............................................................. 6 Belgium .......................................................................................... 6 Ghent competition texts available on our intersteno.org web site ................... 6 Conference and IPRS videos of Ghent 2013 now contain embedded English subtitles. ........................................................................................ 7 - Our e-news letter is 60 releases young .................................................. 8 Internet2014 - dates and rules are now released on www.intersteno.org ...... 8 news Steno libraries project ....................................................................... 9 Associated and individual members ...................................................... 9 News from countries ....................................................................... 10 Argentina: 15-17 November 2013 - XXI Argentine Parliamentary Stenography days and Championships ................................................... -
How We Swipe: a Large-Scale Shape-Writing Dataset and Empirical Findings
This is a preprint for personal use only. The published paper may be subject to some form of copyright. How We Swipe: A Large-scale Shape-writing Dataset and Empirical Findings LUIS A. LEIVA∗, University of Luxembourg, Luxembourg SUNJUN KIM∗, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea WENZHE CUI, Stony Brook University, USA XIAOJUN BI, Stony Brook University, USA ANTTI OULASVIRTA, Aalto University, Finland Despite the prevalence of shape-writing (gesture typing, swype input, or swiping for short) as a text entry method, there are currently no public datasets available. We report a large-scale dataset that can support efforts in both empirical study of swiping as well asthe development of better intelligent text entry techniques. The dataset was collected via a web-based custom virtual keyboard, involving 1,338 users who submitted 11,318 unique English words. We report aggregate-level indices on typing performance, user-related factors, as well as trajectory-level data, such as the gesture path drawn on top of the keyboard or the time lapsed between consecutively swiped keys. We find some well-known effects reported in previous studies, for example that speed and error are affected byageand language skill. We also find surprising relationships such that, on large screens, swipe trajectories are longer but people swipefaster. CCS Concepts: · Human-centered computing Interaction design process and methods; · Information systems Database → → design and models. Additional Key Words and Phrases: Text Entry; Swiping; Shape-writing; Gesture Typing; Phrase set; Dataset ACM Reference Format: Luis A. Leiva, Sunjun Kim, Wenzhe Cui, Xiaojun Bi, and Antti Oulasvirta. -
Annual Valentine Social & Raffle
Annual Valentine Social & Raffle Serenity House, Lover’s Lane UMC February 2019 VOLUME 39 NO. 6 Cover art by Janell Wimberly President’s Letter Hello Kaligrafos members, Our annual Valentine social is just days away. Trish Manche has been doing a lot of hard work to make this event a fun and beautiful day for each of us. Brenda Burns is in charge of this year’s raffle and has so many wonderful items that will be available for our drawings. “We Ink ‘em Up!” Margaret Mall as well has been arranging for food items Presidential Seal By Janell Wimberly to be furnished from various members. And a thanks to Tom Burns for penning the lovely invitation this year. I hope you are planning on joining us for our “Paper Moon” Valentine social. Bring your handmade valentine for the exchange and receive one from another talented calligrapher in the group. Our first card making day was held on Saturday, January 19th at my home studio. Seven enthusiastic and talented members joined me and churned out a total of 70 Mother’s Day cards that will be taken to the Genesis Woman’s Shelter in early May. It was a fun day and not only were cards produced but it was a time of great fellowship where new members were welcomed, new friendships forged, and a general camaradarie was enjoyed by all. My personal thanks to Virginia Littlepage, Brenda Burns, Tom Burns, June Baty, Autumn Swindoll, June Leschek, and Trish Manche. What a wonderful variety of cards were turned out. So we are halfway (I made 5 more) to our goal of 150 cards. -
Inclinetype – an Accelerometer-Based Typing Approach for Smartwatches
InclineType – An Accelerometer-based Typing Approach for Smartwatches Timo Götzelmann Pere-Pau Vázquez Nuremberg Institute of Technology Technical University of Catalonia Keßlerplatz 12 Jordi Girona, 1-3 90489 Nuremberg, Germany E-08034, Barcelona, Spain +49 (0)911 5880 1616 +34 93 413 77 90 [email protected] [email protected] ABSTRACT to privacy. To overcome this limitation, some smart input Small mobile devices such as smartwatches are a rapidly growing techniques have been proposed. In this paper we focus on market. However, they share the issue of limited input and output smartwatches, and present a method for input that makes use of a space which could impede the success of these devices in future. 3-axis accelerometer sensor. Our technique lets the user type by Hence, suitable alternatives to the concepts and metaphors known selecting a key using wrist movements, and single taps. We have from smartphones have to be found. In this paper we present performed an initial user study to determine the feasibility and the InclineType a tilt-based keyboard input that uses a 3-axis performance novice users may achieve with such approach. accelerometer for smartwatches. The user may directly select letters by moving his/her wrist and enters them by tapping on the 2. RELATED WORK touchscreen. Thanks to the distribution of the letters on the edges Typing in devices without hardware keyboards such as the of the screen, the keyboard dedicates a low amount of space in the classical buttons of conventional Blackberry devices may lead to smartwatch. In order to optimize the user input our concept low typing performances. -
Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones
159 Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones SHERRY RUAN, Stanford University JACOB O. WOBBROCK, University of Washington KENNY LIOU, Symantec Corp.1 ANDREW NG, Stanford University1 JAMES A. LANDAY, Stanford University With the ubiquity of mobile touchscreen devices like smartphones, two widely used text entry methods have emerged: small touch-based keyboards and speech recognition. Although speech recognition has been available on desktop computers for years, it has continued to improve at a rapid pace, and it is currently unknown how today’s modern speech recognizers compare to state-of-the-art mobile touch keyboards, which also have improved considerably since their inception. To discover both methods’ “upper-bound performance,” we evaluated them in English and Mandarin Chinese on an Apple iPhone 6 Plus in a laboratory setting. Our experiment was carried out using Baidu’s Deep Speech 2, a deep learning-based speech recognition system, and the built-in QWERTY (English) or Pinyin (Mandarin) Apple iOS keyboards. We found that with speech recognition, the English input rate was 2.93 times faster (153 vs. 52 WPM), and the Mandarin Chinese input rate was 2.87 times faster (123 vs. 43 WPM) than the keyboard for short message transcription under laboratory conditions for both methods. Furthermore, although speech made fewer errors during entry (5.30% vs. 11.22% corrected error rate), it left slightly more errors in the final transcribed text (1.30% vs. 0.79% uncorrected error rate). Our results show that comparatively, under ideal conditions for both methods, upper-bound speech recognition performance has greatly improved compared to prior systems, and might see greater uptake in the future, although further study is required to quantify performance in non-laboratory settings for both methods. -
Octopus: Evaluating Touchscreen Keyboard Correction and Recognition Algorithms Via “Remulation”
Session: Keyboards and Hotkeys CHI 2013: Changing Perspectives, Paris, France Octopus: Evaluating Touchscreen Keyboard Correction and Recognition Algorithms via “Remulation” Xiaojun Bi1 Shiri Azenkot2 Kurt Partridge1 Shumin Zhai1 1Google Inc. 2University of Washington Mountain View, CA, USA Seattle, WA, USA {bxj, kep, zhai}@google.com [email protected] ABSTRACT on the user’s finger gestures (Figure 1, right). SGK’s are The time and labor demanded by a typical laboratory-based also known as Shape Writing keyboards [21, 28], gesture keyboard evaluation are limiting resources for algorithmic keyboards [5] or word-gesture keyboards [29] in the adjustment and optimization. We propose Remulation, a literature. Different forms of SGKs have been complementary method for evaluating touchscreen commercially distributed in many products such as keyboard correction and recognition algorithms. It ShapeWriter, SlideIT, Swype, Flex T9, TouchPal, and the replicates prior user study data through real-time, on-device Android 4.2 stock keyboard (Gesture Typing) [2]. SGKs simulation. To demonstrate remulation, we have developed face the same correction challenges as STKs because they Octopus, an evaluation tool that enables keyboard must map ambiguous finger gestures to words. developers to efficiently measure and inspect the impact of algorithmic changes without conducting resource-intensive user studies. It can also be used to evaluate third-party keyboards in a “black box” fashion, without access to their algorithms or source code. Octopus can evaluate both touch keyboards and word-gesture keyboards. Two empirical examples show that Remulation can efficiently and effectively measure many aspects of touch screen keyboards at both macro and micro levels. Additionally, we Figure 1. -
The Word-Gesture Keyboard: Reimagining Keyboard Interaction by Shumin Zhai and Per Ola Kristensson
DOI:10.1145/2330667.2330689 The Word-Gesture Keyboard: Reimagining Keyboard Interaction By Shumin Zhai and Per Ola Kristensson 1. INTRODUCTION At some level, it is relatively easy to invent a new text entry Throughout human civilization, text has been an indis- method. After all, a text input method is a coding system for pensable channel of communication. Modern comput- text communication. There can be potentially an infinite ers equipped with desktop keyboards have dramatically number of possible ways to code text by spatiotemporal increased the ease and volume of text-based communica- means, including Morse code and the great many diverse tion in the form of email, text chat, and Web posting. As com- writing systems of the world. However, to develop a mobile puting technologies expanded beyond the confines of the text entry method truly acceptable to the mass consumer desktop, the need for effective text entry on mobile devices market is exceptionally difficult for many reasons. has been increasingly felt over the last two decades. Such a First, since text input is one of the most intensive and fre- need has inspired both academic researchers and the infor- quent human-computer interaction (HCI) tasks, speed is a mation technology industry in pursuit of effective text entry very important consideration. Users are accustomed to fast methods alternative to the ubiquitous desktop keyboards. keyboard typing on their own desktop or laptop keyboard.20 Since at least the early 1990s, mobile text input research can A mobile text input method is ideally as fast as a desktop key- be found in almost every human-computer interaction con- board, or at least fast enough so the users do not have to defer ference.