Pickup Usability Dominates: a Brief History of Mobile Text Entry Research and Adoption
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UC Berkeley UC Berkeley Electronic Theses and Dissertations
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Perceptual and Context Aware Interfaces on Mobile Devices Permalink https://escholarship.org/uc/item/7tg54232 Author Wang, Jingtao Publication Date 2010 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Perceptual and Context Aware Interfaces on Mobile Devices by Jingtao Wang A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate Division of the University of California, Berkeley Committee in charge: Professor John F. Canny, Chair Professor Maneesh Agrawala Professor Ray R. Larson Spring 2010 Perceptual and Context Aware Interfaces on Mobile Devices Copyright 2010 by Jingtao Wang 1 Abstract Perceptual and Context Aware Interfaces on Mobile Devices by Jingtao Wang Doctor of Philosophy in Computer Science University of California, Berkeley Professor John F. Canny, Chair With an estimated 4.6 billion units in use, mobile phones have already become the most popular computing device in human history. Their portability and communication capabil- ities may revolutionize how people do their daily work and interact with other people in ways PCs have done during the past 30 years. Despite decades of experiences in creating modern WIMP (windows, icons, mouse, pointer) interfaces, our knowledge in building ef- fective mobile interfaces is still limited, especially for emerging interaction modalities that are only available on mobile devices. This dissertation explores how emerging sensors on a mobile phone, such as the built-in camera, the microphone, the touch sensor and the GPS module can be leveraged to make everyday interactions easier and more efficient. -
Nokia 6010 User Guide
510636_6820_US/Eng_UG 12/18/03 10:36 AM Page 1 Thank you for purchasing your new Nokia phone. We’re here for you! www.nokiahowto.com Learn how to use your new Nokia phone. www.nokia.com/us Get answers to your questions. Register your phone’s limited warranty so we can better serve your needs! Nokia Inc. 7725 Woodland Center Boulevard, Suite 150, Tampa FL 33614 . Phone: 1.888.NOKIA.2U (1.888.665.4228) Fax: 1.813.249.9619 . Text Telephone/Telecommunication Device User Guide for the Deaf (TTY/TDD) Users: 1.800.24.NOKIA (1.800.246.6542) PRINTED IN CANADA 9311367 NOKIA 6820 Nokia 6010 User Guide What information is Numbers Where is the number? needed? My number Wireless service provider Voice mail number Wireless service provider Wireless provider’s Wireless service provider number Wireless provider’s Wireless service provider customer care Model number 6010 Label on back of phone (under battery) Phone type number NPM-10 Label on back of phone NPM-10X (under battery) International mobile Label on back of phone (under equipment identity battery). See “Find information (IMEI) about your phone” on page 7. LEGAL INFORMATION Part No. 9311233, Issue No. 1 Copyright © 2004 Nokia. All rights reserved. Nokia, Nokia Connecting People, Air Glide, Bowling, Backgammon, Sky Diver, Nokia 6010, Xpress-on, and the Nokia Original Enhancements logos are trademarks or registered trademarks of Nokia Corporation. Other company and product names mentioned herein may be trademarks or trade names of their respective owners. Printed in Canada 01/04 US Patent No 5818437 and other pending patents. -
This Is a Title
http://dx.doi.org/10.14236/ewic/HCI2017.103 Comparing a Scanning Ambiguous Keyboard to the On-screen QWERTY Keyboard Chris T. Waddington I. Scott MacKenzie University of Central Lancashire York University Preston UK PR1 2HE Toronto Canada M3J 1P3 [email protected] [email protected] Janet C. Read Matthew Horton University of Central Lancashire University of Central Lancashire Preston UK PR1 2HE Preston UK PR1 2HE [email protected] [email protected] This paper explores text entry on a scanning ambiguous keyboard (SAK) and the Windows on- screen keyboard (OSK) operating in scanning mode. The SPACEBAR was used for physical input with both keyboards. Testing involved 12 participants entering five phrases of text with each keyboard. On entry speed, the means were 5.06 wpm for the SAK and 2.67 wpm for the OSK, thus revealing a significant speed advantage for the SAK. However, the character-level error rate of 13.3% for the SAK was significantly higher than the error rate of 2.4% for the OSK. On subjective preference, 7 of 12 participants preferred the Windows OSK over the SAK, citing familiarity with the QWERTY layout as the most common reason. However, participants appreciated the efficiency of the SAK keyboard. A limitation of the results is the small amount of text entered. Scanning ambiguous keyboard (SAK), Windows on-screen keyboard (OSK), text entry, accessible interfaces . 1. INTRODUCTION and effectiveness of two keyboards designed primarily for users with impaired motor function. A Inputting text with a keyboard is an everyday task user study with able-bodied users was conducted, for humans, be it through a standard keyboard on a as is common practice in initial investigations of desktop or laptop computer, or on a touch-based accessible interfaces. -
Neue Formen Der Interaktion Mit Mobilen Geräten
Albrecht Schmidt, Paul Holleis Matthias Kranz, Andreas Butz (Hrsg.) Neue Formen der Interaktion mit Mobilen Geräten Hauptseminar Medieninformatik SS 2005 Technical Report LMU-MI-2005-2, Nov. 2005 ISSN 1862-5207 University of Munich Department of Computer Science Media Informatics Group Albrecht Schmidt, Paul Holleis, Matthias Kranz, Andreas Butz (Herausgeber) Neue Formen der Interaktion mit Mobilen Geräten Ein Überblick über Forschungsarbeiten im Bereich der Mensch-Maschine-Interaktion Vorwort In den letzten 10 Jahren haben sich massive Veränderungen im Bereich der Benutzungsschnittstellen vollzogen. Mit diesem Bericht über Neue Formen der Interaktion mit Mobilen Geräten wollen wir kompakt aktuelle Entwicklungen und Forschungstrends im Bereich Mensch-Maschine-Interaktion mit Schwerpunkt auf mobilen Geräten einem interessierten Fachpublikum zugänglich machen. Dazu analysieren Studenten und Mitarbeiter des Lehrstuhls Medieninformatik an der Ludwig-Maximilians-Universität München Beiträge und Veröffentlichungen aus zahlreichen Workshops, Konferenzen und wissenschaftlichen Zeitschriften. Diese Reihe an Texten wurde im Zusammenhang mit einem Hauptseminar im Sommersemester 2005 von Studenten erstellt. Jedes der einzelnen Kapitel greift ein Thema auf und stellt wesentliche Forschungs- trends in diesem Bereich in kurzen Artikeln in deutscher Sprache vor. Im Rahmen des Seminars wurde von den Studenten zu den jeweiligen Themen Vorträge gehalten, die die wesentlichen Inhalte noch einmal zusammenfassten. Die Folien zu diesen Vorträgen und weitere Informationen über die Veranstaltung können auf der Webseite http://www.hcilab.org/events/mobileinteraction/ eingesehen werden. Dieser Bericht richtet sich in erster Linie an Informatiker, Medieninformatiker, User Interface Designer und Studenten der Informatik und Medieninformatik. Betrachtet man den Trend auch Alltagsgegenstände (Kleidung, Kaffeemaschine, usw.) mit Technologie auszustatten und sie somit in Benutzungsschnittstellen zu verwandeln, erhält das Thema eine größere Tragweite. -
Nokia 6350 User Guide
Nokia 6350 User Guide 9 Issue 1 0434 DECLARATION OF CONFORMITY Hereby, NOKIA CORPORATION declares that this RM-455 product is in compliance with the essential requirements and other relevant provisions of Directive 1999/5/EC. A copy of the Declaration of Conformity can be found at http://www.nokia.com/phones/declaration_of_conformity/. © 2009 Nokia. All rights reserved. Inside pages contain 10% recycled paper. Nokia, Nokia Connecting People, and Navi are trademarks or registered trademarks of Nokia Corporation. Nokia tune is a sound mark of Nokia Corporation. Other product and company names mentioned herein may be trademarks or tradenames of their respective owners. Reproduction, transfer, distribution, or storage of part or all of the contents in this document in any form without the prior written permission of Nokia is prohibited. Nokia operates a policy of continuous development. Nokia reserves the right to make changes and improvements to any of the products described in this document without prior notice. US Patent No 5818437 and other pending patents. T9 text input software Copyright (C) 1997-2009. Tegic Communications, Inc. All rights reserved. Includes RSA BSAFE cryptographic or security protocol software from RSA Security. Java is a trademark of Sun Microsystems, Inc. Portions of the Nokia Maps software are © 1996-2009 The FreeType Project. All rights reserved. This product is licensed under the MPEG-4 Visual Patent Portfolio License (i) for personal and noncommercial use in connection with information which has been encoded in compliance with the MPEG-4 Visual Standard by a consumer engaged in a personal and noncommercial activity and (ii) for use in connection with MPEG-4 video provided by a licensed video provider. -
Twiddler Typing: One-Handed Chording Text Entry for Mobile Phones
Twiddler Typing: OneHanded Chording Text Entry for Mobile Phones Kent Lyons, Thad Starner, Daniel Plaisted, James Fusia, Amanda Lyons, Aaron Drew, E. W. Looney College of Computing and GVU Center Georgia Institute of Technology Atlanta, GA 30332-0280 USA fkent,thad,plaisted,visyz,amandal,adrew,[email protected] ABSTRACT markets for wireless email, which is desired by 81% of con- An experienced user of the Twiddler, a one–handed chord- sumers surveyed [3]. Wireless email is predicted to drive the ing keyboard, averages speeds of 60 words per minute with next stage of the industry's European data revenues [4]. In- letter–by–letter typing of standard test phrases. This fast typ- creased text entry speeds may also help unexpected segments ing rate coupled with the Twiddler's 3x4 button design, sim- of the user population. For example, the Deaf population has ilar to that of a standard mobile telephone, makes it a poten- adopted wireless texting as a convenient means of communi- tial alternative to multi–tap for text entry on mobile phones. cation within the community. Despite this similarity, there is very little data on the Twid- dler's performance and learnability. We present a longitu- In this paper, we demonstrate a chording method of text entry dinal study of novice users' learning rates on the Twiddler. on a 3x4 button keypad where expert rates average 60 wpm Ten participants typed for 20 sessions using two different on letter–by–letter entry. We show that chording novices av- methods. Each session is composed of 20 minutes of typing erage over 26 wpm after 400 minutes of practice and have with multi–tap and 20 minutes of one–handed chording on rates comparable to their multi–tap rates within 80 minutes the Twiddler. -
Text Input Methods for Indian Languages Sowmya Vajjala, International Institute of Information Technology
Iowa State University From the SelectedWorks of Sowmya Vajjala 2011 Text Input Methods for Indian Languages Sowmya Vajjala, International Institute of Information Technology Available at: https://works.bepress.com/sowmya-vajjala/3/ TEXT INPUT METHODS FOR INDIAN LANGUAGES By Sowmya V.B. 200607014 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science (by Research) in Computer Science & Engineering Search and Information Extraction Lab Language Technologies Research Center International Institute of Information Technology Hyderabad, India September 2008 Copyright c 2008 Sowmya V.B. All Rights Reserved Dedicated to all those people, living and dead, who are directly or indirectly responsible to the wonderful life that I am living now. INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY Hyderabad, India CERTIFICATE It is certified that the work contained in this thesis, titled “ Text input methods for Indian Languages ” by Sowmya V.B. (200607014) submitted in partial fulfillment for the award of the degree of Master of Science (by Research) in Computer Science & Engineering, has been carried out under my supervision and it is not submitted elsewhere for a degree. Date Advisor : Dr. Vasudeva Varma Associate Professor IIIT, Hyderabad Acknowledgements I would like to first express my gratitude to my advisor Dr Vasudeva Varma, for being with me and believing in me throughout the duration of this thesis work. His regular suggestions have been greatly useful. I thank Mr Prasad Pingali for his motivation and guidance during the intial phases of my thesis. I thank Mr Bhupal Reddy for giving me the first lessons in my research. I entered IIIT as a novice to Computer Science in general and research in particular. -
Investigating Retrospective Interoperability Between the Accessible and Mobile Webs with Regard to User Input
INVESTIGATING RETROSPECTIVE INTEROPERABILITY BETWEEN THE ACCESSIBLE AND MOBILE WEBS WITH REGARD TO USER INPUT A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences 2011 By Tianyi Chen School of Computer Science Contents Abstract 13 Declaration 15 Copyright 16 Acknowledgements 17 1 Introduction 18 1.1 Problem Statement . 21 1.2 Research Questions . 23 1.3 Thesis Structure . 25 1.4 Publications . 27 2 Background and Related Works 31 2.1 Web Accessibility . 31 2.2 Guidelines & Best Practices . 33 2.2.1 Web Content Accessibility Guidelines . 34 2.2.2 User Agent Accessibility Guidelines & Authoring Tools Ac- cessibility Guidelines . 35 2.2.3 Mobile Web Best Practices . 37 2.3 Mobile Web . 37 2.4 Overlapping experiences between the Accessible and the Mobile Webs . 40 2.4.1 Visual Impariment . 41 2.4.2 Hearing Impairment . 42 2.4.3 Physical Impairment . 43 2.4.4 Cognitive Impairment . 44 2 2.4.5 Older Users . 44 2.5 Input Problems Affecting Disabled Desktop Users and Mobile Web Users . 46 2.5.1 Text Input . 49 2.5.2 Pointing (Target Acquisition) . 56 3 Small Device User Evaluation While Seated 63 3.1 Methodology . 66 3.1.1 Participants . 66 3.1.2 Apparatus and Venue . 66 3.1.3 Tasks . 68 3.1.4 Procedure . 70 3.2 Data Analysis . 71 3.3 Typing Task Results . 73 3.3.1 Overall Performance . 73 3.3.2 Key Ambiguity Error . 77 3.3.3 Additional Key Error . -
Manual Text Entry Remains One of the Dominant Forms of Human- Computer Interaction
Poika Isokoski Manual Text Input: Experiments, Models, and Systems academic dissertation To be presented, with the permission of the Faculty of Information Sciences of the University of Tampere, for public discussion in Auditorium A1 on April 23rd, 2004, at noon. department of computer sciences university of tampere A-2004-3 tampere 2004 Supervisor: Professor Roope Raisamo Department of Computer Sciences University of Tampere, Finland Opponent: Dr. Shumin Zhai IBM Almaden Research Center, USA Reviewers: Professor Heikki Mannila Basic Research Unit Helsinki Institute for Information Technology, Finland Professor Ari Visa Signal Processing Laboratory Tampere University of Technology, Finland Department of Computer Sciences FIN-33014 UNIVERSITY OF TAMPERE Finland Electronic dissertation Acta Electronica Universitatis Tamperensis 340 ISBN 951-44-5959-8 ISSN 1456-954X http://acta.uta.fi ISBN 951-44-5955-5 ISSN 1459-6903 Tampereen yliopistopaino Oy Tampere 2004 Abstract Despite the emergence of speech controlled computers and direct manipula- tion that both have diminished the need to operate computers with textual commands, manual text entry remains one of the dominant forms of human- computer interaction. This is because textual communication is one of the main reasons for using computers. Mobile and pervasive computing have been popular research areas re- cently. Thus, these issues have a major part in the thesis at hand. Most of the text entry methods that are discussed are for mobile computers. One of the three main contributions of the work is an architecture for a middle- ware system intended to support personalized text entry in an environment permeated with mobile and non-mobile computers. The two other main contributions in this thesis are experimental work on text entry methods and models of user performance in text entry tasks. -
7 35138412 1.Pdf (2.296Mb)
MAUU(D)5900 MASTER THESIS in Universal Design of ICT October 2018 An Accessible Directions-based Text Entry Method Using Two-thumb Touch Typing Linghui Ye Department of Computer Science Faculty of Technology, Art and Design Master Thesis Phase III Report Contents Abstract ......................................................................................................................................................... 3 1. Introduction .............................................................................................................................................. 5 2. Related work ............................................................................................................................................. 8 3. The prototype ......................................................................................................................................... 15 3.1 Physical direction .............................................................................................................................. 20 3.2 Resolving ambiguities ....................................................................................................................... 23 3.3 Special characters ............................................................................................................................. 23 4. Methodology ........................................................................................................................................... 25 4.1 Experimental design ......................................................................................................................... -
Smartvrkey - a Smartphone Based Text Entry in Virtual Reality with T9 Text Prediction*
SmartVRKey - A Smartphone Based Text Entry in Virtual Reality with T9 Text Prediction* Jiban Adhikary Department of Computer Science, Michigan Technological University, [email protected] *Topic paper for the CS5760 - Human-Computer Interaction & Usability class, Spring 2018 March 12, 2018 Abstract: I propose an interactive text entry system in virtual reality (VR) which makes the best use of a commercially available smartphone, a head mounted display (HMD) and a finger sensing device. There has been works related to text entry in VR but they are confined to buttons or slide bars. Most recent works also used a physical keyboard and projected a virtual represen- tation of it in VR. The problem with the first approach is that sensor data from VR is noisy and sometimes it is unreliable. And the problem with the second approach is that a user will have to use a physical keyboard with many keys on it and there is some scalability and usability issues while interacting in VR. My proposed system includes at most 12 keys and the interface fits on a user’s wrist. It also provides accurate word-prediction based on a minimal amount of key presses. 1 Introduction Today most of the interactions of text entry take place in physical keyboard or touch screens. However, it is anticipated that most of the future interactions will take place in virtual reality (VR) or in augmented reality (AR). There has not been a lot of work regarding text entry in such environments. The idea proposed in this paper is an approach to get text entry in VR 1 one step ahead. -
Predicting and Reducing the Impact of Errors in Character-Based Text Entry
PREDICTING AND REDUCING THE IMPACT OF ERRORS IN CHARACTER-BASED TEXT ENTRY AHMED SABBIR ARIF A DISSERTATION SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY GRADUATE PROGRAM IN COMPUTER SCIENCE AND ENGINEERING YORK UNIVERSITY TORONTO, ONTARIO APRIL 2014 © AHMED SABBIR ARIF, 2014 Abstract This dissertation focuses on the effect of errors in character-based text entry techniques. The effect of errors is targeted from theoretical, behavioral, and practical standpoints. This document starts with a review of the existing literature. It then presents results of a user study that investigated the effect of different error correction conditions on popular text entry performance metrics. Results showed that the way errors are handled has a significant effect on all frequently used error metrics. The outcomes also provided an understanding of how users notice and correct errors. Building on this, the dissertation then presents a new high-level and method-agnostic model for predicting the cost of error correction with a given text entry technique. Unlike the existing models, it accounts for both human and system factors and is general enough to be used with most character-based techniques. A user study verified the model through measuring the effects of a faulty keyboard on text entry performance. Subsequently, the work then explores the potential user adaptation to a gesture recognizer’s misrecognitions in two user studies. Results revealed that users gradually adapt to misrecognition errors by replacing the erroneous gestures with alternative ones, if available. Also, users adapt to a frequently misrecognized gesture faster if it occurs more frequently than the other error-prone gestures.