Pen Computer Technology
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Ballpoint Basics 2017, Ballpoint Pen with Watercolor Wash, 3 X 10
Getting the most out of drawing media MATERIAL WORLD BY SHERRY CAMHY Israel Sketch From Bus by Angela Barbalance, Ballpoint Basics 2017, ballpoint pen with watercolor wash, 3 x 10. allpoint pens may have been in- vented for writing, but why not draw with them? These days, more and more artists are decid- Odyssey’s Cyclops by Charles Winthrop ing to do so. Norton, 2014, ballpoint BBallpoint is a fairly young medium, pen, 19½ x 16. dating back only to the 1880s, when John J. Loud, an American tanner, Ballpoint pens offer some serious patented a crude pen with a rotat- advantages to artists who work with ing ball at its tip that could only make them. To start, many artists and collec- marks on rough surfaces such as tors disagree entirely with Koschatzky’s leather. Some 50 years later László disparaging view of ballpoint’s line, Bíró, a Hungarian journalist, improved finding the consistent width and tone Loud’s invention using quick-drying of ballpoint lines to be aesthetically newspaper ink and a better ball at pleasing. Ballpoint drawings can be its tip. When held perpendicular to composed of dense dashes, slow con- its surface, Bíró’s pen could write tour lines, crosshatches or rambling smoothly on paper. In the 1950s the scribbles. Placing marks adjacent to one Frenchman Baron Marcel Bich pur- another can create carefully modu- chased Bíró’s patent and devised a lated areas of tone. And if you desire leak-proof capillary tube to hold the some variation in line width, you can ink, and the Bic Cristal pen was born. -
Motion and Context Sensing Techniques for Pen Computing
Motion and Context Sensing Techniques for Pen Computing Ken Hinckley1, Xiang ‘Anthony’ Chen1,2, and Hrvoje Benko1 * Microsoft Research, Redmond, WA, USA1 and Carnegie Mellon University Dept. of Computer Science2 ABSTRACT We explore techniques for a slender and untethered stylus prototype enhanced with a full suite of inertial sensors (three-axis accelerometer, gyroscope, and magnetometer). We present a taxonomy of enhanced stylus input techniques and consider a number of novel possibilities that combine motion sensors with pen stroke and touchscreen inputs on a pen + touch slate. These Fig. 1 Our wireless prototype has accelerometer, gyro, and inertial sensors enable motion-gesture inputs, as well sensing the magnetometer sensors in a ~19 cm Χ 11.5 mm diameter stylus. context of how the user is holding or using the stylus, even when Our system employs a custom pen augmented with inertial the pen is not in contact with the tablet screen. Our initial results sensors (accelerometer, gyro, and magnetometer, each a 3-axis suggest that sensor-enhanced stylus input offers a potentially rich sensor, for nine total sensing dimensions) as well as a low-power modality to augment interaction with slate computers. radio. Our stylus prototype also thus supports fully untethered Keywords: Stylus, motion sensing, sensors, pen+touch, pen input operation in a slender profile with no protrusions (Fig. 1). This allows us to explore numerous interactive possibilities that were Index Terms: H.5.2 Information Interfaces & Presentation: Input cumbersome in previous systems: our prototype supports direct input on tablet displays, allows pen tilting and other motions far 1 INTRODUCTION from the digitizer, and uses a thin, light, and wireless stylus. -
An Empirical Study in Pen-Centric User Interfaces: Diagramming
EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modeling (2008) C. Alvarado and M.- P. Cani (Editors) An Empirical Study in Pen-Centric User Interfaces: Diagramming Andrew S. Forsberg1, Andrew Bragdon1, Joseph J. LaViola Jr.2, Sashi Raghupathy3, Robert C. Zeleznik1 1Brown University, Providence, RI, USA 2University of Central Florida, Orlando, FL, USA 3Microsoft Corporation, Redmond, WA, USA Abstract We present a user study aimed at helping understand the applicability of pen-computing in desktop environments. The study applied three mouse-and-keyboard-based and three pen-based interaction techniques to six variations of a diagramming task. We ran 18 subjects from a general population and the key finding was that while the mouse and keyboard techniques generally were comparable or faster than the pen techniques, subjects ranked pen techniques higher and enjoyed them more. Our contribution is the results from a formal user study that suggests there is a broader applicability and subjective preference for pen user interfaces than the niche PDA and mobile market they currently serve. Categories and Subject Descriptors (according to ACM CCS): H.5.2 [User Interfaces]: Evaluation/Methodology 1. Introduction ficially appears pen-centric, users will in fact derive a sig- nificant benefit from using a pen-based interface. Our ap- Research on pen computing can be traced back at least to proach is to quantify formally, through head-to-head evalua- the early 60’s. Curiously though, there is little formal un- tion, user performance and relative preference for a represen- derstanding of when, where, and for whom pen comput- tative sampling of both keyboard and mouse, and pen-based ing is the user interface of choice. -
How Did the Bible Get Chapters and Verses?
How did the Bible get chapters and verses? 1. What were the writing materials available for ancient texts? Papyrus Because of its abundance in Egypt, papyrus was used as a writing surface as early as 3100 BC and for 4000 years following. It is believed that the original biblical autographs were written on papyrus although later Jewish scribes (Mishnah, Meg 2:2) prohibited its use for parchment when writing sacred texts. The method of making papyrus has not changed in the thousands of years it has been used. The process starts with the removal of the papyrus reed skin to expose the inner pith, which was beaten and dried. It is then laid lengthwise, with subsequent layers cross-laid for strength and durability, and glued with a plant derivative. The final process involved the stretching and smoothing of the papyrus in preparation for its use. The average papyrus “page” was 22 cm wide and 29-33 cm (up to 47cm) long. A papyrus scroll was usually made of 20 “pages” averaging a total length of 4.5 meters. The writing instrument was a kalamos , a pen fashioned from a reed with the tip chewed to form a brush. Often several kalamos were kept for varying brush widths and ink colors. Clay Clay tablets were used as far back as 3000 BC, and scholars have yet to decipher a vast quantity now in possession. Using clean, washed, smooth clay, scribes used a stylus to imprint wedge-shaped letters called cuneiform . The tablets, made in various shapes such as cone-shaped or flat, were sun dried or kiln fired. -
Predicting Search Task Difficulty
Predicting Search Task Difficulty Jaime Arguello University of North Carolina at Chapel Hill [email protected] Abstract. Search task difficulty refers to a user's assessment about the amount of effort required to complete a search task. Our goal in this work is to learn predictive models of search task difficulty. We evaluate features derived from the user's interaction with the search engine as well as features derived from the user's level of interest in the task and level of prior knowledge in the task domain. In addition to user-interaction fea- tures used in prior work, we evaluate features generated from scroll and mouse-movement events on the SERP. In some situations, we may prefer a system that can predict search task difficulty early in the search session. To this end, we evaluate features in terms of whole-session evidence and first-round evidence, which excludes all interactions starting with the second query. Our results found that the most predictive features were different for whole-session vs. first-round prediction, that mouseover fea- tures were effective for first-round prediction, and that level of interest and prior knowledge features did not improve performance. 1 Introduction Search engine users engage in a wide variety of search tasks. A large body of prior research focused on characterizing different types of search tasks (see Li and Belkin [10]). The motivation behind this prior work is to understand how task characteristics influence search behavior and how search systems can provide customized interactions for different task types. One important search task characteristic is search task difficulty. -
Pen Interfaces
Understanding the Pen Input Modality Presented at the Workshop on W3C MMI Architecture and Interfaces Nov 17, 2007 Sriganesh “Sri-G” Madhvanath Hewlett-Packard Labs, Bangalore, India [email protected] © 2006 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice Objective • Briefly describe different aspects of pen input • Provide some food for thought … Nov 17, 2007 Workshop on W3C MMI Architecture and Interfaces Unimodal input in the context of Multimodal Interfaces • Multimodal interfaces are frequently used unimodally − Based on • perceived suitability of modality to task • User experience, expertise and preference • It is important that a multimodal interface provide full support for individual modalities − “Multimodality” cannot be a substitute for incomplete/immature support for individual modalities Nov 17, 2007 Workshop on W3C MMI Architecture and Interfaces Pen Computing • Very long history … predates most other input modalities − Light pen was invented in 1957, mouse in 1963 ! • Several well-studied aspects: − Hardware − Interface − Handwriting recognition − Applications • Many famous failures (Go, Newton, CrossPad) • Enjoying resurgence since 90s because of PDAs and TabletPCs − New technologies such as Digital Paper (e.g. Anoto) and Touch allow more natural and “wow” experiences Nov 17, 2007 Workshop on W3C MMI Architecture and Interfaces Pen/Digitizer Hardware … • Objective: Detect pen position, maybe more • Various technologies with own limitations and characteristics (and new ones still being developed !) − Passive stylus • Touchscreens on PDAs, some tablets • Capacitive touchpads on laptops (Synaptics) • Vision techniques • IR sensors in bezel (NextWindow) − Active stylus • IR + ultrasonic (Pegasus, Mimeo) • Electromagnetic (Wacom) • Camera in pen tip & dots on paper (Anoto) • Wide variation in form − Scale: mobile phone to whiteboard (e.g. -
Can Tablet Apps Support the Learning of Handwriting? an Investigation of Learning Outcomes in Kindergarten Classroom
Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom Nathalie Bonneton-Botté, Sylvain Fleury, Nathalie Girard, Maëlys Le Magadou, Anthony Cherbonnier, Mickaël Renault, Eric Anquetil, Eric Jamet To cite this version: Nathalie Bonneton-Botté, Sylvain Fleury, Nathalie Girard, Maëlys Le Magadou, Anthony Cher- bonnier, et al.. Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom. Computers and Education, Elsevier, 2020, pp.38. 10.1016/j.compedu.2020.103831. hal-02480182 HAL Id: hal-02480182 https://hal.archives-ouvertes.fr/hal-02480182 Submitted on 5 Mar 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. CRediT author statement Nathalie Bonneton-Botté: Conceptualization- Methodology -Writing-Reviewing and Editing; S. Fleury.: Data curation- Methodology- vizualisation; Nathalie Girard: Software; Vizualisation-Reviewing; Maëlys Le Magadou: Data Curation- Investigation. Anthony Cherbonnier: Data curation- investigation Mickaël Renault: Software, Eric Anquetil: Conceptualization- vizualisation- Reviewing; Eric Jamet: Conceptualization, Methodology, vizualisation, Reviewing. Can Tablet Apps Support the Learning of Handwriting? An Investigation of Learning Outcomes in Kindergarten Classroom Nathalie Bonneton-Bottéa*, Sylvain Fleuryb, Nathalie Girard c, Maëlys Le Magadou d, Anthony Cherbonniera, Mickaël Renault c, Eric Anquetil c, Eric Jameta a Psychology of Cognition, Behavior and Communication Laboratory (LP3C), University of Rennes, Rennes, France. -
The Fancytooltips Package∗†
The fancytooltips package∗y Robert Maˇr´ık [email protected] May 4, 2009 1 Introduction The package fancytooltips is a package for LATEX. The pdf can be created by pdflatex or by latex + dvips + AdobeDistiller1 + Adobe Acrobat2. It allows to create tooltips in a similar way like cooltooltips package, but the tooltip is a page from another PDF file. In this way you can use mathematics, pictures and animations in your tooltips. The resulting PDF file can be used also with free Abobe Reader. The tooltips are activated by clicking the active area on the screen and deac- tivated after closing page or by moving mouse outside the link. You can try the links here (Einstein's formula) and also here (animation { numbers from 1 to 6). You have to use the free Adobe Reader or nonfree Adobe Acrobat to see the effect (xpdf, evince and others fail to work with JavaScripts). For more examples how the presentation may look like see the example.pdf and example-min.pdf files in the examples subdirectory. The buttons are created using eforms.sty which is a part of AcroTeX bundle. 2 Usage 2.1 The file with tooltips The file with tooltips is an ordinary pdf file, one tooltip per page, tooltips should be in the top right corner at the page, in a colored box and the rest of the page should be transparent. If you consider to use movetips option (see below), then every page should have the dimensions equal to the dimen- sions of the colored box with tooltip3. -
Handwriting Recognition Systems: an Overview
Handwriting Recognition Systems: An Overview Avi Drissman Dr. Sethi CSC 496 February 26, 1997 Drissman 1 Committing words to paper in handwriting is a uniquely human act, performed daily by millions of people. If you were to present the idea of “decoding” handwriting to most people, perhaps the first idea to spring to mind would be graphology, which is the analysis of handwriting to determine its authenticity (or perhaps also the more non-scientific determination of some psychological character traits of the writer). But the more mundane, and more frequently overlooked, “decoding” of handwriting is handwriting recognition—the process of figuring out what words and letters the scribbles and scrawls on the paper represent. Handwriting recognition is far from easy. A common complaint and excuse of people is that they couldn’t read their own handwriting. That makes us ask ourselves the question: If people sometimes can’t read their own handwriting, with which they are quite familiar, what chance does a computer have? Fortunately, there are powerful tools that can be used that are easily implementable on a computer. A very useful one for handwriting recognition, and one that is used in several recognizers, is a neural network. Neural networks are richly connected networks of simple computational elements. The fundamental tenet of neural computation (or computation with [neural networks]) is that such networks can carry out complex cognitive and computational tasks. [9] In addition, one of the tasks at which neural networks excel is the classification of input data into one of several groups or categories. This ability is one of the main reasons neural networks are used for this purpose. -
Get a Grip: Analysis of Muscle Activity and Perceived Comfort in Using Stylus Grips
Copyright Warning & Restrictions The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted material. Under certain conditions specified in the law, libraries and archives are authorized to furnish a photocopy or other reproduction. One of these specified conditions is that the photocopy or reproduction is not to be “used for any purpose other than private study, scholarship, or research.” If a, user makes a request for, or later uses, a photocopy or reproduction for purposes in excess of “fair use” that user may be liable for copyright infringement, This institution reserves the right to refuse to accept a copying order if, in its judgment, fulfillment of the order would involve violation of copyright law. Please Note: The author retains the copyright while the New Jersey Institute of Technology reserves the right to distribute this thesis or dissertation Printing note: If you do not wish to print this page, then select “Pages from: first page # to: last page #” on the print dialog screen The Van Houten library has removed some of the personal information and all signatures from the approval page and biographical sketches of theses and dissertations in order to protect the identity of NJIT graduates and faculty. ABSTRACT GET A GRIP: ANALYSIS OF MUSCLE ACTIVITY AND PERCEIVED COMFORT IN USING STYLUS GRIPS by Evanda Vanease Henry The design of handwriting instruments has been based primarily on touch, feel, aesthetics, and muscle exertion. Previous studies make it clear that different pen characteristics have to be considered along with hand–instrument interaction in the design of writing instruments. -
Pen Computing History
TheThe PastPast andand FutureFuture ofof PenPen ComputingComputing Conrad H. Blickenstorfer, Editor-in-Chief Pen Computing Magazine [email protected] http://www.pencomputing.com ToTo buildbuild thethe future,future, wewe mustmust learnlearn fromfrom thethe pastpast HistoryHistory ofof penpen computingcomputing 1914: Goldberg gets US patent for recognition of handwritten numbers to control machines 1938: Hansel gets US patent for machine recognition of handwriting 1956: RAND Corporation develops digitizing tablet for handwriting recognition 1957-62: Handwriting recognition projects with accuracies of 97-99% 1963: Bell Labs develops cursive recognizer 1966: RAND creates GRAIL, similar to Graffiti Pioneer:Pioneer: AlanAlan KayKay Utah State University Stanford University Xerox PARC: GUI, SmallTalk, OOL Apple Computer Research Fellow Disney Envisioned Dynabook in 1968: The Dynabook will be a “dynamic medium for creative thought, capable of synthesizing all media – pictures, animation, sound, and text – through the intimacy and responsiveness of the personal computer.” HistoryHistory ofof penpen computingcomputing 1970s: Commercial products, including kana/romanji billing machine 1980s: Handwriting recognition companies – Nestor – Communication Intelligence Corporation – Lexicus – Several others Pioneers:Pioneers: AppleApple 1987 Apple prototype – Speech recognition – Intelligent agents – Camera – Folding display – Video conferencing – Wireless communication – Personal Information Manager ““KnowledgeKnowledge NavigatorNavigator”” -
Visualizing User Interface Events Event Stream Summarization Through Signs
Visualizing User Interface Events Event Stream Summarization through Signs Vagner Figueredo de Santana and Maria Cecília Calani Baranauskas Institute of Computing, University of Campinas (UNICAMP), Albert Einstein Av., 1251, Campinas, Brazil Keywords: Semiotics, User Interface Events, Visualization of Usage Data, Log Visualization, Event Icons, Icon Library, Image Library, User Interface Evaluation, Usability Evaluation, Accessibility Evaluation, Web Usage Mining. Abstract: Effective visual representation is related to how people interpret signs created to carry specific information. In the last years many user interface evaluation tools are considering detailed usage data to represent users’ actions. The volume of data gathered is leading developers to represent usage in a summarized way through graphical representations. If visual components used to represent complex data are not effective, then graphics used to summarize data may turn the interpretation of complex terms even harder. This work presents a study about graphical representations for user interface (UI) events and contributes with the validation of usage graph visualization and an open set of signs to support the summarization of client-side logs. The study involved 28 Information Technology specialists, potential users of UI evaluation tools. From the results one expects that evaluation tool developers, evaluators, and Web usage miners can reuse the validated usage graph representation and proposed set of signs to represent usage data in a summarized way. 1 INTRODUCTION these events is called, respectively, client-side logs and server-side logs (Santana and Baranauskas, The evaluation of user interface (UI) is a key task 2010a). when developing information systems and is part of In the last decade, website evaluation tools using a number of Software Engineering development server-side data (i.e., based on Web server logs) processes.