Computer and communication technologies offer the potential of improving die quality of life for older people by providing them with links to information and services outside of the home. This study examined die feasibility of older people using an electronic text message system to perform routine communication tasks. In addition information was gathered to identify design parameters which facilitate the interactions of older people with such computer based systems. A specialized and simplified ‘communication computer’ was placed in the homes of 36 older women, aged 50–95 years. The system was provided with: a simple text-editor, basic electronic mail functions and access to news/ weather, movie reviews, and health information. Both performance data and user preference data were collected. Results indicated that the participants liked using the system, were able to use it with minimal difficulty, and that it provided a valuable means for social interaction and mental stimulation. The findings suggest that computer-based systems can be a valuable support tool for older adults if they are easy to use, and provide applications that are useful for them.

Abstract

Bellcore has several active research programs relevant to human-computer interaction. This talk describes research conducted in the Cognitive Science and Interpersonal Communications Research Groups. We describe their research on information retrieval and on collaboration and pay particular attention to the styles of research employed in these groups and to the way in which behavioral investigations have guided technical invention.

A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries. The particular technique used is singular-value decomposition, in which a large term by document matrix is decomposed into a set of ca. 100 orthogonal factors from which the original matrix can be approximated by linear combination. Documents are represented by ca. 100 item vectors of factor weights. Queries are represented as pseudo-document vectors formed from weighted combinations of terms, and documents with supra-threshold cosine values are returned. Initial tests find this completely automatic method for retrieval to be promising. © 1990 John Wiley & Sons, Inc.

The implications of index-word selection strategies for user success in interactive searching were investigated in two experiments. People were asked to find target information objects using a simple interactive keyword information retrieval system in which the number of referent terms assigned to each object was systematically varied. The results demonstrate that searcher success is markedly improved by greatly increasing the number of names per object. © 1990 John Wiley & Sons, Inc.

Students performed a variety of tasks using a statistics text presented either in conventional printed form or via the text browser “SuperBook” (Remde, Gomez and Landauer [18]). Students using SuperBook answered more search questions correctly, wrote higher quality “open-book” essays, and recalled certain incidental information better than students using the conventional text. Subjective ratings overwhelmingly favored SuperBook. The advantage of SuperBook appears to be particularly strong for questions that are not anticipated by the author's organization of a text.

article Free Access Share on The role of laboratory experiments in HCI: help, hindrance, or ho-hum? Authors: C. G. Wolf IBM Watson Research Center, Yorktown Heights, NY IBM Watson Research Center, Yorktown Heights, NYView Profile , J. M. Carroll IBM Watson Research Center, Yorktown Heights, NY IBM Watson Research Center, Yorktown Heights, NYView Profile , T. K. Landauer Bellcore, Morristown, NJ Bellcore, Morristown, NJView Profile , B. E. John Carnegie Mellon Univ., Pittsburgh, PA Carnegie Mellon Univ., Pittsburgh, PAView Profile , J. Whiteside Digital Equipment Corporation Digital Equipment CorporationView Profile Authors Info & Claims ACM SIGCHI BulletinVolume 20Issue SIMarch 1989 pp 265–268https://doi.org/10.1145/67450.67500Online:01 March 1989Publication History 8citation0DownloadsMetricsTotal Citations8Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

SuperBook is a hypertext browsing system designed to improve the usability of conventional documents. Successive versions of SuperBook were evaluated in a series of behavioral studies. Students searched for information in a statistics text. presented either in conventional printed form or in SuperBook form. The best version of SuperBook enabled students to answer search questions more quickly and accurately than they could with the conventional text. Students wrote higher quality “open-book” essays using SuperBook than they did with the conventional text, and their subjective ratings of the documentation strongly favored SuperBook. This work is a case study of formative design-evaluation. Behavioral evaluation of the first version of SuperBook showed how design factors and user strategies affected search and established baseline performance measures with printed text. The second version of SuperBook was implemented with the goal of improving search accuracy and speed. User strategies that had proved effective in the first study were made very easy and attractive to use. System response time for common operations was greatly improved. Behavioral evaluation of the new SuperBook demonstrated its superiority to printed text and suggested additional improvements that were incorporated into “MiteyBook,” a SuperBook implementation for PC-size screens. Search with MiteyBook proved to be approximately 25 percent faster and 25 percent more accurate than that obtained with a conventional printed book.

The introduction of automated information retrieval (IR) systems was met with great enthusiasm and predictions that manual literature searching soon would be replaced. Three decades later, IR systems have not progressed to the stage where any but the dedicated few can operate them without a highly skilled human intermediary acting as interface between user and system. In the interim, we have learned that the retrieval process is extremely complex both in terms of understanding people and their communication and in terms of understanding scientific information and technical vocabulary. Experiments with new techniques suggest to many the possibility of eliminating the human intermediary, either in large part or altogether; others would argue that the retrieval problems are too complex to be resolved for more than highly restricted domains. The possibility of eliminating the human intermediary is of current research interest to the several disciplines that are represented on this panel.

This paper describes a new approach for dealing with the vocabulary problem in human-computer interaction. Most approaches to retrieving textual materials depend on a lexical match between words in users' requests and those in or assigned to database objects. Because of the tremendous diversity in the words people use to describe the same object, lexical matching methods are necessarily incomplete and imprecise [5]. The latent semantic indexing approach tries to overcome these problems by automatically organizing text objects into a semantic structure more appropriate for matching user requests. This is done by taking advantage of implicit higher-order structure in the association of terms with text objects. The particular technique used is singular-value decomposition, in which a large term by text-object matrix is decomposed into a set of about 50 to 150 orthogonal factors from which the original matrix can be approximated by linear combination. Terms and objects are represented by 50 to 150 dimensional vectors and matched against user queries in this “semantic” space. Initial tests find this completely automatic method widely applicable and a promising way to improve users' access to many kinds of textual materials, or to objects and services for which textual descriptions are available.

In a new method for automatic indexing and retrieval, implicit higher-order structure in the association of terms with documents is modeled to improve estimates of term-document association, and therefore the detection of relevant documents on the basis of terms found in queries. Singular-value decomposition is used to decompose a large term by document matrix into 50 to 150 orthogonal factors from which the original matrix can be approximated by linear combination; both documents and terms are represented as vectors in a 50- to 150- dimensional space. Queries are represented as pseudo-documents vectors formed from weighted combinations of terms, and documents are ordered by their similarity to the query. Initial tests find this automatic method very promising.

Important progress has been made in the methodology for making computer systems easier to use.Highlights are the "Wizard-of-Oz" technique and rapid iterative developmental testing.It is argued that more fundamental advances, inventions of truly new and useful computer-based cognitive tools, will result from deeper behavioral analysis of the capabilities and limitations of human performance.Three such analysis methods are described; failure analysis, individual difference analysis, and time profile analysis.A few dramatic success stories are recounted.Promising targets for "synthesis by analysis" are proposed.The reason for this meeting is a shared desire to make computers better tools for people to use in the pursuit of their goals.I'm going to talk about how to go about doing that.First I'll review what I believe to be highlights of what's been learned so far about how to do our business.Then I'll propose some ways in which I think we can make our future efforts have even broader and more profound effects.

Much of the work in the field of computer human interaction consists of finding out what is wrong with existing interfaces or which of several existing alternatives is better. Over the next few decades, the possibilities for computer human interaction will explode. This will be due to: 1) continued decrease in the costs of processing and memory, 2) new technologies being invented and existing technologies (e.g., handwriting recognition, speech synthesis) being extended, 3) new applications and 4) new ideas about how people can interact with computers.

Psychological research methods have been used with increasing frequency in work on computer-human interaction. Judging from the state of the literature and from remarks heard in the halls at conferences such as this, the utility and appropriate roles of such methods are not yet clear. Panel members, who are all research psychologists working on issues related to human use of computers, will present a variety of contrasting views on how to go about such research, and on its proper goals. John Gould will describe two different but complimentary approaches, applied research on general design issues, and formative human factors participation in development. John Anderson will discuss the use of formal models of human cognition. Phil Barnard will consider the role of applied research in the discovery of underlying principles to guide design. Tom Landauer will propose that psychological research can be the basis for invention of new “;cognitive tools”. Short synopses of the positions they will take e given below. Panel members hope that the audience will join them in bringing out important differences between the various approaches and methods and arguing their absolute and relative merits.

Goal items were selected by a series of touch-menu choices among sequentially subdivided ranges of integers or alphabetically ordered words. The number of alternatives at each step, b, was varied, and, inversely, the size of the target area for the touch. Mean response time for each screen was well described by T = k+clogb, in agreement with the Hick-Hyman and Fitts' laws for decision and movement components in series. It is shown that this function favors breadth over depth in menus, whereas others might not. Speculations are offered as to when various functions could be expected.

The successful use of menu-based information retrieval systems depends critically on users understanding the category names and partitions used by system designers. Some of the problems in this endeavor are psychological and have to do with naming large and ill-defined categories so that users can understand their contents, and effectively partitioning large sets of objects. Systems of interest (like home information systems) often consist of new and frequently changing content in large and varied domains, and are particularly prone to these problems. We explored several ways in which one might name categories in one such domain (Yellow Page category headings) - category names, category names plus examples, and examples alone. We found that three examples alone were essentially as good a way to name these categories as either an expertly chosen name or a name plus examples. Examples provide a promising possibility both as a means of flexibly naming menu categories and as a methodological tool to study certain categorization problems.

The descriptors or categories assigned to entries in an information system form the basis of most retrieval mechanisms (e.g., menu or key word). These descriptors are the primary means of communication between system designers and end users. In this paper we analyze some of the factors which influence this communication link. Our goal is to uncover some psychological principles that will help us to understand naming and describing behavior and thus improve the communication between designers and users.