Automated word processing machines

By Neal Litherland

Updated September 28, 2017

i Medioimages/Photodisc/Photodisc/Getty Images

Word processing is a term that was used to describe typing and printing long before the use of computers. Typewriters and bulky printing machines were the original bearers of the term, but the phrase «automated word processing» refers almost exclusively to computers and computer programs used for desktop publishing.

Software

The key component of most computerized word processors is the software. Software suites like OpenOffice and Microsoft Office both have unique word processing programs that are meant to run on a PC or a laptop computer. There are also programs that are meant to convert audio to text as if the computer was a secretary taking dictation. For those who can’t type well or who have a dysfunction in the hands, this type of software helps them utilize their voices with the word processing program.

Accessories

Automated word processing requires an input device for the data to get to the software processing the text. The most common example of an automated word processor accessory is the keyboard, which is the main way that people interact with a variety of computers from desktop PCs to miniaturized netbook computers and a variety of technology in between. For the audio programs, though, you will need to have a microphone so that when you speak the computer can listen to your voice and translate it into text characters.

Hardware

For the word processing software to be hosted, you need to have the proper computer hardware to support it. For instance, you can put only the most basic word processing programs on a palm pilot because the hardware can only support basic software. However, more powerful desktop PCs can support a variety of word processing software and even word processing accessories because of the increased amount and size of the hardware available on that machine.

From Wikipedia, the free encyclopedia

WordPerfect, a word processor first released for minicomputers in 1979 and later ported to microcomputers, running on Windows XP

A word processor (WP)[1][2] is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features.

Early word processors were stand-alone devices dedicated to the function, but current word processors are word processor programs running on general purpose computers.

The functions of a word processor program fall somewhere between those of a simple text editor and a fully functioned desktop publishing program. However, the distinctions between these three have changed over time and were unclear after 2010.[3][4]

Background[edit]

Word processors did not develop out of computer technology. Rather, they evolved from mechanical machines and only later did they merge with the computer field.[5] The history of word processing is the story of the gradual automation of the physical aspects of writing and editing, and then to the refinement of the technology to make it available to corporations and Individuals.

The term word processing appeared in American offices in early 1970s centered on the idea of streamlining the work to typists, but the meaning soon shifted toward the automation of the whole editing cycle.

At first, the designers of word processing systems combined existing technologies with emerging ones to develop stand-alone equipment, creating a new business distinct from the emerging world of the personal computer. The concept of word processing arose from the more general data processing, which since the 1950s had been the application of computers to business administration.[6]

Through history, there have been three types of word processors: mechanical, electronic and software.

Mechanical word processing[edit]

The first word processing device (a «Machine for Transcribing Letters» that appears to have been similar to a typewriter) was patented by Henry Mill for a machine that was capable of «writing so clearly and accurately you could not distinguish it from a printing press».[7] More than a century later, another patent appeared in the name of William Austin Burt for the typographer. In the late 19th century, Christopher Latham Sholes[8] created the first recognizable typewriter although it was a large size, which was described as a «literary piano».[9]

The only «word processing» these mechanical systems could perform was to change where letters appeared on the page, to fill in spaces that were previously left on the page, or to skip over lines. It was not until decades later that the introduction of electricity and electronics into typewriters began to help the writer with the mechanical part. The term “word processing” (translated from the German word Textverarbeitung) itself was created in the 1950s by Ulrich Steinhilper, a German IBM typewriter sales executive. However, it did not make its appearance in 1960s office management or computing literature (an example of grey literature), though many of the ideas, products, and technologies to which it would later be applied were already well known. Nonetheless, by 1971 the term was recognized by the New York Times[10] as a business «buzz word». Word processing paralleled the more general «data processing», or the application of computers to business administration.

Thus by 1972 discussion of word processing was common in publications devoted to business office management and technology, and by the mid-1970s the term would have been familiar to any office manager who consulted business periodicals.

Electromechanical and electronic word processing[edit]

By the late 1960s, IBM had developed the IBM MT/ST (Magnetic Tape/Selectric Typewriter). This was a model of the IBM Selectric typewriter from the earlier part of this decade, but it came built into its own desk, integrated with magnetic tape recording and playback facilities along with controls and a bank of electrical relays. The MT/ST automated word wrap, but it had no screen. This device allowed a user to rewrite text that had been written on another tape, and it also allowed limited collaboration in the sense that a user could send the tape to another person to let them edit the document or make a copy. It was a revolution for the word processing industry. In 1969, the tapes were replaced by magnetic cards. These memory cards were inserted into an extra device that accompanied the MT/ST, able to read and record users’ work.

In the early 1970s, word processing began to slowly shift from glorified typewriters augmented with electronic features to become fully computer-based (although only with single-purpose hardware) with the development of several innovations. Just before the arrival of the personal computer (PC), IBM developed the floppy disk. In the early 1970s, the first word-processing systems appeared which allowed display and editing of documents on CRT screens.

During this era, these early stand-alone word processing systems were designed, built, and marketed by several pioneering companies. Linolex Systems was founded in 1970 by James Lincoln and Robert Oleksiak. Linolex based its technology on microprocessors, floppy drives and software. It was a computer-based system for application in the word processing businesses and it sold systems through its own sales force. With a base of installed systems in over 500 sites, Linolex Systems sold 3 million units in 1975 — a year before the Apple computer was released.[11]

At that time, the Lexitron Corporation also produced a series of dedicated word-processing microcomputers. Lexitron was the first to use a full-sized video display screen (CRT) in its models by 1978. Lexitron also used 514 inch floppy diskettes, which became the standard in the personal computer field. The program disk was inserted in one drive, and the system booted up. The data diskette was then put in the second drive. The operating system and the word processing program were combined in one file.[12]

Another of the early word processing adopters was Vydec, which created in 1973 the first modern text processor, the «Vydec Word Processing System». It had built-in multiple functions like the ability to share content by diskette and print it.[further explanation needed] The Vydec Word Processing System sold for $12,000 at the time, (about $60,000 adjusted for inflation).[13]

The Redactron Corporation (organized by Evelyn Berezin in 1969) designed and manufactured editing systems, including correcting/editing typewriters, cassette and card units, and eventually a word processor called the Data Secretary. The Burroughs Corporation acquired Redactron in 1976.[14]

A CRT-based system by Wang Laboratories became one of the most popular systems of the 1970s and early 1980s. The Wang system displayed text on a CRT screen, and incorporated virtually every fundamental characteristic of word processors as they are known today. While early computerized word processor system were often expensive and hard to use (that is, like the computer mainframes of the 1960s), the Wang system was a true office machine, affordable to organizations such as medium-sized law firms, and easily mastered and operated by secretarial staff.

The phrase «word processor» rapidly came to refer to CRT-based machines similar to Wang’s. Numerous machines of this kind emerged, typically marketed by traditional office-equipment companies such as IBM, Lanier (AES Data machines — re-badged), CPT, and NBI. All were specialized, dedicated, proprietary systems, with prices in the $10,000 range. Cheap general-purpose personal computers were still the domain of hobbyists.

Japanese word processor devices[edit]

In Japan, even though typewriters with Japanese writing system had widely been used for businesses and governments, they were limited to specialists who required special skills due to the wide variety of letters, until computer-based devices came onto the market. In 1977, Sharp showcased a prototype of a computer-based word processing dedicated device with Japanese writing system in Business Show in Tokyo.[15][16]

Toshiba released the first Japanese word processor JW-10 in February 1979.[17] The price was 6,300,000 JPY, equivalent to US$45,000. This is selected as one of the milestones of IEEE.[18]

Toshiba Rupo JW-P22(K)(March 1986) and an optional micro floppy disk drive unit JW-F201

The Japanese writing system uses a large number of kanji (logographic Chinese characters) which require 2 bytes to store, so having one key per each symbol is infeasible. Japanese word processing became possible with the development of the Japanese input method (a sequence of keypresses, with visual feedback, which selects a character) — now widely used in personal computers. Oki launched OKI WORD EDITOR-200 in March 1979 with this kana-based keyboard input system. In 1980 several electronics and office equipment brands entered this rapidly growing market with more compact and affordable devices. While the average unit price in 1980 was 2,000,000 JPY (US$14,300), it was dropped to 164,000 JPY (US$1,200) in 1985.[19] Even after personal computers became widely available, Japanese word processors remained popular as they tended to be more portable (an «office computer» was initially too large to carry around), and become necessities in business and academics, even for private individuals in the second half of the 1980s.[20] The phrase «word processor» has been abbreviated as «Wa-pro» or «wapuro» in Japanese.

Word processing software[edit]

The final step in word processing came with the advent of the personal computer in the late 1970s and 1980s and with the subsequent creation of word processing software. Word processing software that would create much more complex and capable output was developed and prices began to fall, making them more accessible to the public. By the late 1970s, computerized word processors were still primarily used by employees composing documents for large and midsized businesses (e.g., law firms and newspapers). Within a few years, the falling prices of PCs made word processing available for the first time to all writers in the convenience of their homes.

The first word processing program for personal computers (microcomputers) was Electric Pencil, from Michael Shrayer Software, which went on sale in December 1976. In 1978 WordStar appeared and because of its many new features soon dominated the market. However, WordStar was written for the early CP/M (Control Program–Micro) operating system, and by the time it was rewritten for the newer MS-DOS (Microsoft Disk Operating System), it was obsolete. Suddenly, WordPerfect dominated the word processing programs during the DOS era, while there was a large variety of less successful programs.

Early word processing software was not as intuitive as word processor devices. Most early word processing software required users to memorize semi-mnemonic key combinations rather than pressing keys such as «copy» or «bold». Moreover, CP/M lacked cursor keys; for example WordStar used the E-S-D-X-centered «diamond» for cursor navigation. However, the price differences between dedicated word processors and general-purpose PCs, and the value added to the latter by software such as “killer app” spreadsheet applications, e.g. VisiCalc and Lotus 1-2-3, were so compelling that personal computers and word processing software became serious competition for the dedicated machines and soon dominated the market.

Then in the late 1980s innovations such as the advent of laser printers, a «typographic» approach to word processing (WYSIWYG — What You See Is What You Get), using bitmap displays with multiple fonts (pioneered by the Xerox Alto computer and Bravo word processing program), and graphical user interfaces such as “copy and paste” (another Xerox PARC innovation, with the Gypsy word processor). These were popularized by MacWrite on the Apple Macintosh in 1983, and Microsoft Word on the IBM PC in 1984. These were probably the first true WYSIWYG word processors to become known to many people.
Of particular interest also is the standardization of TrueType fonts used in both Macintosh and Windows PCs. While the publishers of the operating systems provide TrueType typefaces, they are largely gathered from traditional typefaces converted by smaller font publishing houses to replicate standard fonts. Demand for new and interesting fonts, which can be found free of copyright restrictions, or commissioned from font designers, occurred.

The growing popularity of the Windows operating system in the 1990s later took Microsoft Word along with it. Originally called «Microsoft Multi-Tool Word», this program quickly became a synonym for “word processor”.

From early in the 21st century Google Docs popularized the transition to online or offline web browser based word processing, this was enabled by the widespread adoption of suitable internet connectivity in businesses and domestic households and later the popularity of smartphones. Google Docs enabled word processing from within any vendor’s web browser, which could run on any vendor’s operating system on any physical device type including tablets and smartphones, although offline editing is limited to a few Chromium based web browsers. Google Docs also enabled the significant growth of use of information technology such as remote access to files and collaborative real-time editing, both becoming simple to do with little or no need for costly software and specialist IT support.

See also[edit]

  • List of word processors
  • Formatted text

References[edit]

  1. ^ Enterprise, I. D. G. (1 January 1981). «Computerworld». IDG Enterprise. Archived from the original on 2 January 2019. Retrieved 1 January 2019 – via Google Books.
  2. ^ Waterhouse, Shirley A. (1 January 1979). Word processing fundamentals. Canfield Press. ISBN 9780064537223. Archived from the original on 2 January 2019. Retrieved 1 January 2019 – via Google Books.
  3. ^ Amanda Presley (28 January 2010). «What Distinguishes Desktop Publishing From Word Processing?». Brighthub.com. Archived from the original on 1 April 2019. Retrieved 1 January 2019.
  4. ^ «How to Use Microsoft Word as a Desktop Publishing Tool». PCWorld. 28 May 2012. Archived from the original on 19 August 2017. Retrieved 3 May 2018.
  5. ^ Price, Jonathan, and Urban, Linda Pin. The Definitive Word-Processing Book. New York: Viking Penguin Inc., 1984, page xxiii.
  6. ^ W.A. Kleinschrod, «The ‘Gal Friday’ is a Typing Specialist Now,» Administrative Management vol. 32, no. 6, 1971, pp. 20-27
  7. ^ Hinojosa, Santiago (June 2016). «The History of Word Processors». The Tech Ninja’s Dojo. The Tech Ninja. Archived from the original on 6 May 2018. Retrieved 6 May 2018.
  8. ^ See also Samuel W. Soule and Carlos Glidden.
  9. ^ The Scientific American, The Type Writer, New York (August 10, 1872)
  10. ^ W.D. Smith, “Lag Persists for Business Equipment,” New York Times, 26 Oct. 1971, pp. 59-60.
  11. ^ Linolex Systems, Internal Communications & Disclosure in 3M acquisition, The Petritz Collection, 1975.
  12. ^ «Lexitron VT1200 — RICM». Ricomputermuseum.org. Archived from the original on 3 January 2019. Retrieved 1 January 2019.
  13. ^ Hinojosa, Santiago (1 June 2016). «The History of Word Processors». The Tech Ninja’s Dojo. Archived from the original on 24 December 2018. Retrieved 1 January 2019.
  14. ^ «Redactron Corporation. @ SNAC». Snaccooperative.org. Archived from the original on 15 December 2018. Retrieved 1 January 2019.
  15. ^ «日本語ワードプロセッサ». IPSJコンピュータ博物館. Retrieved 2017-07-05.
  16. ^ «【シャープ】 日本語ワープロの試作機». IPSJコンピュータ博物館. Retrieved 2017-07-05.
  17. ^ 原忠正 (1997). «日本人による日本人のためのワープロ». The Journal of the Institute of Electrical Engineers of Japan. 117 (3): 175–178. Bibcode:1997JIEEJ.117..175.. doi:10.1541/ieejjournal.117.175.
  18. ^ «プレスリリース;当社の日本語ワードプロセッサが「IEEEマイルストーン」に認定». 東芝. 2008-11-04. Retrieved 2017-07-05.
  19. ^
    «【富士通】 OASYS 100G». IPSJコンピュータ博物館. Retrieved 2017-07-05.
  20. ^ 情報処理学会 歴史特別委員会『日本のコンピュータ史』ISBN 4274209334 p135-136
  • By Bill Lydon
  • September 19, 2016
  • Feature

Summary

The foundations of the automation industry are being reshaped right now from the torrent of ideas, software, and products driven by Industry 4.0 and the Industrial Internet of Things (IIoT). The dynamic state of automation was the focus of many spirited presentations and discussions at the February ARC Forum, punctuated by ExxonMobil’s highlight of their efforts, alongside Lockheed Martin, to build an interoperable prototype DCS with standards-based, open, secure, and multivendor interoperable architecture.

Reflecting on these interactions reminded me of a similar situation I observed early in my career, when word processors were being used at my employer’s company. For those too young to remember, I am not talking about Microsoft Word but actual word processor office machines (Just for the record, these machines were at the tail end of their lifetime when I started my career.)  It’s interesting, because, given today’s trends, industrial automation controllers may be headed down that path that led to the word processor’s extinction.

Word processors

Word processor office machines were proprietary hardware, started in the 1960s, combining a text-entry keyboard and typewriter-esque printing functions with a recording unit, either tape or floppy disk, and a dedicated proprietary computer processor with text-editing software.  The features and designs of these machines varied among manufacturers and models, and new features were constantly added as technology advanced, such as spell-checking programs, and improved formatting options. 

Early word processors were large dedicated machines.

Desktop word processors company CPT Corporation founded in 1971 with corporate revenues growing to approximately a quarter-billion dollars per year in the mid-1980s declined with the proliferation of personal computers and CPT ultimately ceased operations.

Wang Laboratories word processing products were extremely popular.  At its peak in the 1980s, Wang had  $3 billion annual revenues employing over 33,000 people. Wang Laboratories filed for bankruptcy protection in August 1992.

The death knell for the word processor was, of course, the personal computer. The introduction and growth of PCs, loaded with open architecture backplanes, standard operating systems, and word processing software, provided a far more versatile and economic offering for users. So, how does this portend the future of the industrial controller?
 

Industrial Controllers – Is this the future story?

Industrial process controllers and PLCs were proprietary hardware, started in the 1970’s, combining a dedicated computer processor and related software for executing control sequences and algorithms. Like the word processor, features and designs varied among manufacturers and models, and new features were constantly added as technology advanced, this time including communication interfaces, PID loop control, and other functions. 

As the more versatile, rugged computers and real-time open architecture backplanes, and open source communications standards, real-time Web services, and integrated control and automation design environments were coupled with multiplatform embedded control engines, these became the more popular, efficient option. Now, most industrial automation control manufacturers have either stopped manufacturing dedicated controllers or have gone out of business.

Far-fetched?

If this still seems like a far-fetched possibility, consider Digital Equipment Corporation (DEC). DEC was a leading minicomputer manufacturer, with its own I/O subsystem designs for data acquisition and control, whose products were used in steel mills, machine tool control, utilities, and other industry applications.  DEC was at the top of American computer vendors from the 1960s to the 1990s and, at its peak, was the second largest employer in Massachusetts, second only to the state government.  In the late 1980s, with $14 billion in sales and 100,000 employees, it was the second-largest computer company in the world.  DEC was expected to usher in the age of personal computers, yet the autocratic and trend-resistant management was openly skeptical. In fact, DEC’s CEO even claimed, “the personal computer will fall flat on its face…”  Things unfolded exactly as you would expect. Missing out on several critical technical shifts, DEC’s fortunes steadily declined.  After years of record losses, on 26 January 1998, what remained of the company was sold to PC manufacturer Compaq Computer which subsequently merged with Hewlett-Packard. DEC, one of the biggest names not a decade earlier, was dead.

Today, the DEC story is simply another example where industry leaders were caught up in their own groupthink and did not focus enough on leveraging technological advances to create greater value for their customers. You see this technological failure story recurring in multiple industries, with big-name companies from Blockbuster to Kodak, who prototyped the digital camera in 1975 and did not commercialize it. The company filed for Chapter 11 bankruptcy protection in 2012.  

Wake-up call & opportunity

Industrial automation vendors have the unique opportunity to be on the right side of the automation technological advance, and to develop an open, multivendor interoperability ecosystem, but they must move quickly before the tipping point is reached and other companies capitalize on the significant changes dictated from outside the industry. The fundamental elements and standards already exist, if the industrial automation supplier community fully embraces and interoperable ecosystem and could potentially save their businesses from an early financial grave.  

About The Author


Lydon brings more than 10 years of writing and editing expertise to Automation.com, plus more than 25 years of experience designing and applying technology in the automation and controls industry. Lydon started his career as a designer of computer-based machine tool controls; in other positions, he applied programmable logic controllers (PLCs) and process control technology. In addition to working at various large companies (e.g., Sundstrand, Johnson Controls, and Wago), Lydon served a two-year stint as part of a five-person task group, where he designed controls, automation systems, and software for chiller and boiler plant optimization. He was also a product manager for a multimillion-dollar controls and automation product line and president of an industrial control software company.

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A word processor is software or a device that allows users to create, edit, and print documents. It enables you to write text, store it electronically, display it on a screen, modify it by entering commands and characters from the keyboard, and print it.

Of all computer applications, word processing is the most common. Today, most word processors are delivered either as a cloud service or as software that users can install on a PC or mobile device.

Word Processor Checklist

Jump to a topic in this article:

  • What is the History of Word Processing?
  • What are Standard Features of Word Processors?
  • Full-featured Word Processors
  • Word Processors vs. Text Editors vs. Desktop Publishing Systems

What is the History of Word Processing?

The earliest word processors were standalone machines similar to electric typewriters that debuted in the 1960s. The great advantage of these early machines over using a typewriter was that you could make changes without retyping the entire document. Over time, the devices acquired more advanced features, such as the ability to save documents on a disk, elaborate formatting options, and spell-checking.

While there are still some standalone word processors in use today, word processing began to move to personal computers in the 1980s. In the early days of the PC, a word processor called WordPerfect became one of the most widely used applications of any kind. Over time, however, What You See Is What You Get (WYSIWYG) word processors that showed users exactly what would print on their final documents became more popular. One of those WYSISWG word processors, Microsoft Word, became dominant in the 1990s.

First version of Microsoft Word.

Image: The first version of Microsoft Word was developed in 1981. The current version is Microsoft Word 16 (released in 2016).

With the advent of cloud computing in the 2000s, word processing changed again. The cloud allowed users to do their word processing via a browser-based application. While these cloud-based word processors lacked the advanced functionality of software installed on a device, they allowed users to store their documents in a remote data center and access them from any Internet-connected PC or mobile device. They also made it easier for geographically separated teams of people to work together on the same document. Many users found that cloud-based word processors offered enough features to meet their needs, as well as greater convenience, mobility, and collaboration support.

What are Standard Features of Word Processors?

Word processors vary considerably, but all word processors, whether cloud-based or installed on a system, support the following basic features:

insert text: Allows you to insert text anywhere in the document.

delete text: Allows you to erase characters, words, lines, or pages.

cut and paste: Allows you to remove (cut) a section of text from one place in a document and insert (paste) it somewhere else.

copy: Allows you to duplicate a section of text.

page size and margins: Allows you to define various page sizes and margins, and the word processor will automatically readjust the text so that it fits.

search and replace: Allows you to direct the word processor to search for a particular word or phrase. You can also direct the word processor to replace one group of characters with another everywhere that the first group appears.

word wrap: Automatically moves to the next line when you have filled one line with text, and it will readjust text if you change the margins.

print: Allows you to send a document to a printer to get hard copy.

file management: Provides file management capabilities that allow you to create, delete, move, and search for files.

font specifications: Allows you to change fonts within a document. For example, you can specify bold, italics, and underlining. Most word processors also let you change the font size and even the typeface.

windows: Allows you to edit two or more documents at the same time. Each document appears in a separate window. This is particularly valuable when working on a large project that consists of several different files.

spell checking: Identifies words that don’t appear in a standard dictionary.

Full-Featured Word Processors

Most installable modern word processor software supports additional features that enable you to manipulate and format documents in more sophisticated ways. Full-featured word processors usually support the following advanced features, and cloud-based word processors may have some of these features as well:

grammar checking: Identifies sentences, paragraphs, and punctuation that doesn’t appear to meet commonly recognized rules of grammar.

footnotes and cross-references: Automates the numbering and placement of footnotes and enables you to easily cross-reference other sections of the document.

automated lists: Automatically creates bulleted or numbered lists, including multi-level outlines.

graphics: Allows you to embed illustrations, graphs, and possibly even videos into a document. Some word processors let you create the illustrations within the word processor; others let you insert an illustration produced by a different program.

headers, footers, and page numbering: Allows you to specify customized headers and footers that the word processor will put at the top and bottom of every page. The word processor automatically keeps track of page numbers so that the correct number appears on each page.

layout: Allows you to specify different margins within a single document and to specify various methods for indenting paragraphs.

macros: Enables users to define and run macros, a character or word that represents a series of keystrokes. The keystrokes can represent text or commands. The ability to define macros allows you to save yourself a lot of time by replacing common combinations of keystrokes.

merge: Allows you to merge text from one file into another file. This is particularly useful for generating many files that have the same format but different data. Generating mailing labels is the classic example of using merges.

tables of contents and indexes: Allows you to automatically create a table of contents and index based on special codes that you insert in the document.

thesaurus: Allows you to search for synonyms without leaving the word processor.

collaboration: Allows users to track changes to the document when more than one person is editing. Some cloud-based word processors also allow multiple users to edit the same document at the same time.

internet features: Allows users to embed Web links into their documents and format their documents for the Web. Some also link to Web services that can help users create their documents.

translation and speech: As artificial intelligence capabilities become more commonplace, some word processors have gained the ability to read text aloud, to accept voice commands, and to translate text from one language to another.

Read also: What is a Spreadsheet? 

Word Processors vs. Text Editors vs. Desktop Publishing Systems

Word processors are very similar to two other categories of software: text editors and desktop publishing applications. An example of a word processor is offered by Zoho.

Applications that support only the basic features from the first list above (and maybe a few others) are sometimes called text editors. Office workers sometimes use text editors to create simple documents that don’t require a full-featured word processor. However, text editors are more commonly used by programmers who use special text editors with features designed for writing code.

Desktop publishing systems, on the other hand, are generally more advanced and complex than word processors. The line dividing word processors from desktop publishing systems is constantly shifting as word processors become more advanced. In general, though, desktop publishing applications support finer control over layout, especially for documents with a lot of graphics, and they offer more support for full-color printing options.

This article was updated April 2021 by Jenna Phipps

Word Processing

Andrew Prestage, in Encyclopedia of Information Systems, 2003

I. An Introduction to Word Processing

Word processing is the act of using a computer to transform written, verbal, or recorded information into typewritten or printed form. This chapter will discuss the history of word processing, identify several popular word processing applications, and define the capabilities of word processors.

Of all the computer applications in use, word processing is by far the most common. The ability to perform word processing requires a computer and a special type of computer software called a word processor. A word processor is a program designed to assist with the production of a wide variety of documents, including letters, memoranda, and manuals, rapidly and at relatively low cost. A typical word processor enables the user to create documents, edit them using the keyboard and mouse, store them for later retrieval, and print them to a printer. Common word processing applications include Microsoft Notepad, Microsoft Word, and Corel WordPerfect.

Word processing technology allows human beings to freely and efficiently share ideas, thoughts, feelings, sentiments, facts, and other information in written form. Throughout history, the written word has provided mankind with the ability to transform thoughts into printed words for distribution to hundreds, thousands, or possibly millions of readers around the world. The power of the written word to transcend verbal communications is best exemplified by the ability of writers to share information and express ideas with far larger audiences and the permanency of the written word.

The increasingly large collective body of knowledge is one outcome of the permanency of the written word, including both historical and current works. Powered by decreasing prices, increasing sophistication, and widespread availability of technology, the word processing revolution changed the landscape of communications by giving people hitherto unavailable power to make or break reputations, to win or lose elections, and to inspire or mislead through the printed word.

Read full chapter

URL: 

https://www.sciencedirect.com/science/article/pii/B0122272404001982

Computers and Effective Security Management1

Charles A. Sennewald, Curtis Baillie, in Effective Security Management (Sixth Edition), 2016

Word Processing

Word processing software can easily create, edit, store, and print text documents such as letters, memoranda, forms, employee performance evaluations (such as those in Appendix A), proposals, reports, security surveys (such as those in Appendix B), general security checklists, security manuals, books, articles, press releases, and speeches. A professional-looking document can be easily created and readily updated when necessary.

The length of created documents is limited only by the storage capabilities of the computer, which are enormous. Also, if multiple copies of a working document exist, changes to it should be promptly communicated to all persons who use the document. Specialized software, using network features, can be programmed to automatically route changes to those who need to know about updates.

Read full chapter

URL: 

https://www.sciencedirect.com/science/article/pii/B9780128027745000241

Globalization

Jennifer DeCamp, in Encyclopedia of Information Systems, 2003

II.D.2.c. Rendering Systems

Special word processing software is usually required to correctly display languages that are substantially different from English, for example:

1.

Connecting characters, as in Arabic, Persian, Urdu, Hindi, and Hebrew

2.

Different text direction, as in the right-to-left capability required in Arabic, Persian, Urdu, and Hindi, or the right-to-left and top-to-bottom capability in formal Chinese

3.

Multiple accents or diacritics, such as in Vietnamese or in fully vowelled Arabic

4.

Nonlinear text entry, as in Hindi, where a vowel may be typed after the consonant but appears before the consonant.

Alternatives to providing software with appropriate character rendering systems include providing graphic files or elaborate formatting (e.g., backwards typing of Arabic and/or typing of Arabic with hard line breaks). However, graphic files are cumbersome to download and use, are space consuming, and cannot be electronically searched except by metadata. The second option of elaborate formatting often does not look as culturally appropriate as properly rendered text, and usually loses its special formatting when text is added or is upgraded to a new system. It is also difficult and time consuming to produce. Note that Microsoft Word 2000 and Office XP support the above rendering systems; Java 1.4 supports the above rendering systems except for vertical text.

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URL: 

https://www.sciencedirect.com/science/article/pii/B0122272404000800

Text Entry When Movement is Impaired

Shari Trewin, John Arnott, in Text Entry Systems, 2007

15.3.2 Abbreviation Expansion

Popular word processing programs often include abbreviation expansion capabilities. Abbreviations for commonly used text can be defined, allowing a long sequence such as an address to be entered with just a few keystrokes. With a little investment of setup time, those who are able to remember the abbreviations they have defined can find this a useful technique. Abbreviation expansion schemes have also been developed specifically for people with disabilities (Moulton et al., 1999; Vanderheiden, 1984).

Automatic abbreviation expansion at phrase/sentence level has also been investigated: the Compansion (Demasco & McCoy, 1992; McCoy et al., 1998) system was designed to process and expand spontaneous language constructions, using Natural Language Processing to convert groups of uninflected content words automatically into full phrases or sentences. For example, the output sentence “John breaks the window with the hammer” might derive from the user input text “John break window hammer” using such an approach.

With the rise of text messaging on mobile devices such as mobile (cell) phones, abbreviations are increasingly commonplace in text communications. Automatic expansion of many abbreviations may not be necessary, however, depending on the context in which the text is being used. Frequent users of text messaging can learn to recognize a large number of abbreviations without assistance.

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Case Studies

Brett Shavers, in Placing the Suspect Behind the Keyboard, 2013

Altered evidence and spoliation

Electronic evidence in the form of word processing documents which were submitted by a party in litigation is alleged to have been altered. Altered electronic evidence has become a common claim with the ability to determine the changes becoming more difficult. How do you know if an email has been altered? What about a text document?

Case in Point

Odom v Microsoft and Best Buy, 2006

The Odom v Microsoft and Best Buy litigation primarily focused on Internet access offered to customers in which the customers were automatically billed for Internet service without their consent. One of the most surprising aspects of this case involved the altering of electronic evidence by an attorney for Best Buy. The attorney, Timothy Block, admitted to altering documents prior to producing the documents in discovery to benefit Best Buy.

Investigative Tips: All evidence needs to be validated for authenticity. The weight given in legal hearings depends upon the veracity of the evidence. Many electronic files can be quickly validated through hash comparisons. An example seen in Figure 11.4 shows two files with different file names, yet their hash values are identical. If one file is known to be valid, perhaps an original evidence file, any file matching the hash values would also be a valid and unaltered copy of the original file.

Figure 11.4. Two files with different file names, but having the same hash value, indicating the contents of the files are identical.

Alternatively, Figure 11.5 shows two files with the same file name but having different hash values. If there were a claim that both of these files are the same original files, it would be apparent that one of the files has been modified.

Figure 11.5. Two files with the same file names, but having different hash values, indicating the contents are not identical.

Finding the discrepancies or modifications of an electronic file can only be accomplished if there is a comparison to be made with the original file. Using Figure 11.5 as an example, given that the file having the MD5 hash value of d41d8cd98f00b204e9800998ecf8427e is the original, and where the second file is the alleged altered file, a visual inspection of both files should be able to determine the modifications. However, when only file exists, proving the file to be unaltered is more than problematic, it is virtually impossible.

In this situation of having a single file to verify as original and unaltered evidence, an analysis would only be able to show when the file was modified over time, but the actual modifications won’t be known. Even if the document has “track changed” enabled, which logs changes to a document, that would only capture changes that were tracked, as there may be more untracked and unknown changes.

As a side note to hash values, in Figure 11.5, the hash values are completely different, even though the only difference between the two sample files is a single period added to the text. Any modification, no matter how minor, results in a drastic different hash value.

The importance in validating files in relation to the identification of a suspect that may have altered a file is that the embedded metadata will be a key point of focus and avenue for case leads. As a file is created, copied, modified, and otherwise touched, the file and system metadata will generally be updated.

Having the dates and times of these updates should give rise to you that the updates occurred on some computer system. This may be on one or more computers even if the file existed on a flash drive. At some point, the flash drive was connected to a computer system, where evidence on a system may show link files to the file. Each of these instances of access to the file is an opportunity to create a list of possible suspects having access to those systems in use at each updated metadata fields.

In the Microsoft Windows operating systems, Volume Shadow Copies may provide an examiner with a string of previous versions of a document, in which the modifications between each version can be determined. Although not every change may have been incrementally saved by the Volume Shadow Service, such as if the file was saved to a flash drive, any previous versions that can be found will allow to find some of the modifications made.

Where a single file will determine the outcome of an investigation or have a dramatic effect on the case, the importance of ‘getting it right’ cannot be overstated. Such would be the case of a single file, modified by someone in a business office, where many persons had common access to the evidence file before it was known to be evidence. Finding the suspect that altered the evidence file may be simple if you were at the location close to the time of occurrence. Interviews of the employees would be easier as most would remember their whereabouts in the office within the last few days. Some may be able to tell you exactly where other employees were in the office, even point the suspect out directly.

But what if you are called in a year later? How about 2 or more years later? What would be the odds employees remembering their whereabouts on a Monday in July 2 years earlier? To identify a suspect at this point requires more than a forensic analysis of a computer. It will probably require an investigation into work schedules, lunch schedules, backup tapes, phone call logs, and anything else to place everyone somewhere during the time of the file being altered.

Potentially you may even need to examine the hard drive of a copy machine and maybe place a person at the copy machine based on what was copied at the time the evidence file was being modified. When a company’s livelihood is at stake or a person’s career is at risk, leave no stone unturned. If you can’t place a suspect at the scene, you might be able to place everyone else at a location, and those you can’t place, just made your list of possible suspects.

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When, How, and Why Do We Trust Technology Too Much?

Patricia L. Hardré, in Emotions, Technology, and Behaviors, 2016

Trusting Spelling and Grammar Checkers

We often see evidence that users of word processing systems trust absolutely in spelling and grammar checkers. From errors in business letters and on resumes to uncorrected word usage in academic papers, this nonstrategy emerges as epidemic. It underscores a pattern of implicit trust that if a word is not flagged as incorrect in a word processing system, then it must be not only spelled correctly but also used correctly. The overarching error is trusting the digital checking system too much, while the underlying functional problem is that such software identifies gross errors (such as nonwords) but cannot discriminate finer nuances of language requiring judgment (like real words used incorrectly). Users from average citizens to business executives have become absolutely comfortable with depending on embedded spelling and grammar checkers that are supposed to autofind, trusting the technology so much that they often do not even proofread. Like overtrust of security monitoring, these personal examples are instances of reduced vigilance due to their implicit belief that the technology is functionally flawless, that if the technology has not found an error, then an error must not exist.

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Establishing a C&A Program

Laura Taylor, Matthew Shepherd Technical Editor, in FISMA Certification and Accreditation Handbook, 2007

Template Development

Certification Packages consist of a set of documents that all go together and complement one another. A Certification Package is voluminous, and without standardization, it takes an inordinate amount of time to evaluate it to make sure all the right information is included. Therefore, agencies should have templates for all the documents that they require in their Certification Packages. Agencies without templates should work on creating them. If an agency does not have the resources in-house to develop these templates, they should consider outsourcing this initiative to outside consultants.

A template should be developed using the word processing application that is the standard within the agency. All of the relevant sections that the evaluation team will be looking for within each document should be included. Text that will remain constant for a particular document type also should be included. An efficient and effective C&A program will have templates for the following types of C&A documents:

Categorization and Certification Level Recommendation

Hardware and Software Inventory

Self-Assessment

Security Awareness and Training Plan

End-User Rules of Behavior

Incident Response Plan

Security Test and Evaluation Plan

Privacy Impact Assessment

Business Risk Assessment

Business Impact Assessment

Contingency Plan

Configuration Management Plan

System Risk Assessment

System Security Plan

Security Assessment Report

The later chapters in this book will help you understand what should be included in each of these types of documents. Some agencies may possibly require other types of documents as required by their information security program and policies.

Templates should include guidelines for what type of content should be included, and also should have built-in formatting. The templates should be as complete as possible, and any text that should remain consistent and exactly the same in like document types should be included. Though it may seem redundant to have the exact same verbatim text at the beginning of, say, each Business Risk Assessment from a particular agency, each document needs to be able to stand alone and make sense if it is pulled out of the Certification Package for review. Having similar wording in like documents also shows that the packages were developed consistently using the same methodology and criteria.

With established templates in hand, it makes it much easier for the C&A review team to understand what it is that they need to document. Even expert C&A consultants need and appreciate document templates. Finding the right information to include the C&A documents can by itself by extremely difficult without first having to figure out what it is that you are supposed to find—which is why the templates are so very important. It’s often the case that a large complex application is distributed and managed throughout multiple departments or divisions and it can take a long time to figure out not just what questions to ask, but who the right people are who will know the answers.

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Speech Recognition

John-Paul Hosom, in Encyclopedia of Information Systems, 2003

I.B. Capabilities and Limitations of Automatic Speech Recognition

ASR is currently used for dictation into word processing software, or in a “command-and-control” framework in which the computer recognizes and acts on certain key words. Dictation systems are available for general use, as well as for specialized fields such as medicine and law. General dictation systems now cost under $100 and have speaker-dependent word-recognition accuracy from 93% to as high as 98%. Command-and-control systems are more often used over the telephone for automatically dialing telephone numbers or for requesting specific services before (or without) speaking to a human operator. Telephone companies use ASR to allow customers to automatically place calls even from a rotary telephone, and airlines now utilize telephone-based ASR systems to help passengers locate and reclaim lost luggage. Research is currently being conducted on systems that allow the user to interact naturally with an ASR system for goals such as making airline or hotel reservations.

Despite these successes, the performance of ASR is often about an order of magnitude worse than human-level performance, even with superior hardware and long processing delays. For example, recognition of the digits “zero” through “nine” over the telephone has word-level accuracy of about 98% to 99% using ASR, but nearly perfect recognition by humans. Transcription of radio broadcasts by world-class ASR systems has accuracy of less than 87%. This relatively low accuracy of current ASR systems has limited its use; it is not yet possible to reliably and consistently recognize and act on a wide variety of commands from different users.

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Prototyping

Rex Hartson, Pardha Pyla, in The UX Book (Second Edition), 2019

20.7 Software Tools for Making Wireframes

Wireframes can be sketched using any drawing or word processing software package that supports creating and manipulating shapes. While many applications suffice for simple wireframing, we recommend tools designed specifically for this purpose. We use Sketch, a drawing app, to do all the drawing. Craft is a plug-in to Sketch that connects it to InVision, allowing you to export Sketch screen designs to InVision to incorporate hotspots as working links.

In the “Build mode” of InVision, you work on one screen at a time, adding rectangular overlays that are the hotspots. For each hotspot, you specify what other screen you go to when someone clicks on that hotspot in “Preview mode.” You get a nice bonus using InVision: In the “operate” mode, you, or the user, can click anywhere in an open space in the prototype and it highlights all the available links. These tools are available only on Mac computers, but similar tools are available under Windows.

Beyond this discussion, it’s not wise to try to cover software tools for making prototypes in this kind of textbook. The field is changing fast and whatever we could say here would be out of date by the time you read this. Plus, it wouldn’t be fair to the numerous other perfectly good tools that didn’t get cited. To get the latest on software tools for prototyping, it’s better to ask an experienced UX professional or to do your research online.

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Design Production

Rex Hartson, Partha S. Pyla, in The UX Book, 2012

9.5.3 How to Build Wireframes?

Wireframes can be built using any drawing or word processing software package that supports creating and manipulating shapes, such as iWork Pages, Keynote, Microsoft PowerPoint, or Word. While such applications suffice for simple wireframing, we recommend tools designed specifically for this purpose, such as OmniGraffle (for Mac), Microsoft Visio (for PC), and Adobe InDesign.

Many tools and templates for making wireframes are used in combination—truly an invent-as-you-go approach serving the specific needs of prototyping. For example, some tools are available to combine the generic-looking placeholders in wireframes with more detailed mockups of some screens or parts of screens. In essence they allow you to add color, graphics, and real fonts, as well as representations of real content, to the wireframe scaffolding structure.

In early stages of design, during ideation and sketching, you started with thinking about the high-level conceptual design. It makes sense to start with that here, too, first by wireframing the design concept and then by going top down to address major parts of the concept. Identify the interaction conceptual design using boxes with labels, as shown in Figure 9-4.

Take each box and start fleshing out the design details. What are the different kinds of interaction needed to support each part of the design, and what kinds of widgets work best in each case? What are the best ways to lay them out? Think about relationships among the widgets and any data that need to go with them. Leverage design patterns, metaphors, and other ideas and concepts from the work domain ontology. Do not spend too much time with exact locations of these widgets or on their alignment yet. Such refinement will come in later iterations after all the key elements of the design are represented.

As you flesh out all the major areas in the design, be mindful of the information architecture on the screen. Make sure the wireframes convey that inherent information architecture. For example, do elements on the screen follow a logical information hierarchy? Are related elements on the screen positioned in such a way that those relationships are evident? Are content areas indented appropriately? Are margins and indents communicating the hierarchy of the content in the screen?

Next it is time to think about sequencing. If you are representing a workflow, start with the “wake-up” state for that workflow. Then make a wireframe representing the next state, for example, to show the result of a user action such as clicking on a button. In Figure 9-6 we showed what happens when a user clicks on the “Related information” expander widget. In Figure 9-7 we showed what happens if the user clicks on the “One-up” view switcher button.

Once you create the key screens to depict the workflow, it is time to review and refine each screen. Start by specifying all the options that go on the screen (even those not related to this workflow). For example, if you have a toolbar, what are all the options that go into that toolbar? What are all the buttons, view switchers, window controllers (e.g., scrollbars), and so on that need to go on the screen? At this time you are looking at scalability of your design. Is the design pattern and layout still working after you add all the widgets that need to go on this screen?

Think of cases when the windows or other container elements such as navigation bars in the design are resized or when different data elements that need to be supported are larger than shown in the wireframe. For example, in Figures 9-5 and 9-6, what must happen if the number of photo collections is greater than what fits in the default size of that container? Should the entire page scroll or should new scrollbars appear on the left-hand navigation bar alone? How about situations where the number of people identified in a collection are large? Should we show the first few (perhaps ones with most number of associated photos) with a “more” option, should we use an independent scrollbar for that pane, or should we scroll the entire page? You may want to make wireframes for such edge cases; remember they are less expensive and easier to do using boxes and lines than in code.

As you iterate your wireframes, refine them further, increasing the fidelity of the deck. Think about proportions, alignments, spacing, and so on for all the widgets. Refine the wording and language aspects of the design. Get the wireframe as close to the envisioned design as possible within the constraints of using boxes and lines.

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