Search (5 results, page 1 of 1)

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Abstract

The "Screen Design Manual" provides designers of interactive media with a practical working guide for preparing and presenting information that is suitable for both their target groups and the media they are using. It describes background information and relationships, clarifies them with the help of examples, and encourages further development of the language of digital media. In addition to the basics of the psychology of perception and learning, ergonomics, communication theory, imagery research, and aesthetics, the book also explores the design of navigation and orientation elements. Guidelines and checklists, along with the unique presentation of the book, support the application of information in practice.

Date

22. 3.2008 14:29:25

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Abstract

Computers have become our companions in many of the activities we pursue in our life. They assist us, in particular, in searching relevant information that is needed to perform a variety of tasks, from professional usage to personal entertainment. They hold this information in a huge number of heterogeneous sources, either dedicated to a specific user community (e.g., enterprise databases) or maintained for the general public (e.g., websites and digital libraries). Whereas progress in basic information technology is nowadays capable of guaranteeing effective information management, information retrieval and dissemination has become a core issue that needs further accomplishments to achieve user satisfaction. The research communities in databases, information retrieval, information visualization, and human-computer interaction have already largely investigated these domains. However, the technical environment has so dramatically evolved in recent years, inducing a parallel and very significant evolution in user habits and expectations, that new approaches are definitely needed to meet current demand. One of the most evident and significant changes is the human-computer interaction paradigm. Traditional interactions relayed an programming to express user information requirements in formal code and an textual output to convey to users the information extracted by the system. Except for professional data-intensive application frameworks, still in the hands of computer speciahsts, we have basically moved away from this pattern both in terms of expressing information requests and conveying results. The new goal is direct interaction with the final user (the person who is looking for information and is not necessarily familiar with computer technology). The key motto to achieve this is "go visual." The well-known high bandwidth of the human-vision channel allows both recognition and understanding of large quantities of information in no more than a few seconds. Thus, for instance, if the result of an information request can be organized as a visual display, or a sequence of visual displays, the information throughput is immensely superior to the one that can be achieved using textual support. User interaction becomes an iterative query-answer game that very rapidly leads to the desired final result. Conversely, the system can provide efficient visual support for easy query formulation. Displaying a visual representation of the information space, for instance, lets users directly point at the information they are looking for, without any need to be trained into the complex syntax of current query languages. Alternatively, users can navigate in the information space, following visible paths that will lead them to the targeted items. Again, thanks to the visual support, users are able to easily understand how to formulate queries and they are likely to achieve the task more rapidly and less prone to errors than with traditional textual interaction modes.

Source

Encyclopedia of library and information science. Vol.72, [=Suppl.35]

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Content

1. Introduction Web search engines and digital libraries usually expect the users to use search terms that most accurately represent their information needs. Finding the most appropriate search terms to represent an information need is an age old problem in information retrieval. Keyword or phrase search may produce good search results as long as the search terms or phrase(s) match those used by the authors and have been chosen for indexing by the concerned information retrieval system. Since this does not always happen, a large number of false drops are produced by information retrieval systems. The retrieval results become worse in very large systems that deal with millions of records, such as the Web search engines and digital libraries. Vocabulary control tools are used to improve the performance of text retrieval systems. Thesauri, the most common type of vocabulary control tool used in information retrieval, appeared in the late fifties, designed for use with the emerging post-coordinate indexing systems of that time. They are used to exert terminology control in indexing, and to aid in searching by allowing the searcher to select appropriate search terms. A large volume of literature exists describing the design features, and experiments with the use, of thesauri in various types of information retrieval systems (see for example, Furnas et.al., 1987; Bates, 1986, 1998; Milstead, 1997, and Shiri et al., 2002).

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Content

"Die Recherche im "klassischen" OPAC verlangt eine exakte Formulierung der Suchanfrage, aber viele Bibliotheksbenutzer wissen nicht genau, wonach sie eigentlich suchen. So bleiben oft wertvolle Treffer oder sogar Teile des Bibliotheksbestandes von den Bibliotheksbenutzern unentdeckt. Ein neues Produkt in der Angebotspalette des Bibliothekssoftware-Herstellers BOND GmbH & Co. KG schafft Abhilfe: Der AquaBrowser Library. Er sprengt die Grenzen der konventionellen OPAC-Suche und bietet ein neues, "ergonomisches" Sucherlebnis: die erste progressive und interaktive Suchumgebung. AquaBrowser Library bezieht in die OPAC-Suche automatisch assoziative Begriffe, Synonyme, unterschiedliche Schreibweisen, Übersetzungen sowie den Kontext mit ein. So werden automatisch neue Suchpfade generiert, der Suchbereich und somit auch das Trefferspektrum erweitert. Als Ergebnis erhält der Informationssuchende eine umfangreichere und qualitativ präzisere Ergebnisliste. Das Suchergebnis geht weit über eine Suchliste hinaus: Der Suchbegriff eines Benutzers wird mit den im Bibliothekskatalog enthaltenen Metadaten verglichen. Dabei werden assoziative Begriffe, Synonyme, alternative Schreibweisen, Übersetzungen in Fremdsprachen sowie der Kontext mit einbezogen. Daraus generiert sich automatisch eine visuelle Karte, die so genannte "Word Cloud". Sie stellt alle Assoziationen oder Überblicke über interessante Themenbereiche grafisch logisch dar. Die Begriffe sind Vorschläge und Hilfestellungen für den Bibliotheksbenutzer. Per Klick auf die "Word Cloud" kann er so neue Informationen entdecken und seine Suchanfrage präzisieren und lenken. Beispielsweise werden Tippfehler erkannt und alternative Schreibweisen angeboten. Gibt ein Leser den Suchbegriff "Auto" ein, beinhaltet das Suchergebnis auch Medien zu "PKW", "Kraftfahrzeug" oder "KFZ". Es werden sogar Treffer angezeigt, bei denen der gesuchte Begriff in einer anderen Sprache (englisch, spanisch oder niederländisch) im Katalogisat hinterlegt ist (z.B. car). Bei jeder Suchabfrage erstellt AquaBrowser Library automatisch eine Liste relevanter Kriterien, nach denen der Benutzer seine Ergebnisse filtern kann. Ein Klick auf ein Kriterium genügt und schon werden die Suchergebnisse präzisiert. Auf diese Weise schränken Mediensuchende die Treffer zielgenau ein und gelangen so schnell und exakt zu der spezifischen Information, die sie brauchen. Die Verfeinerungskriterien sind übersichtlich anhand von Kategorien gegliedert (z.B. Schlagwort, Verfasser, Sprache, Personen, Thema, Reihe oder Jahr)."

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Date

22. 3.2008 14:35:21