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Pejtersen, A.M.: Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour (1984) 0.01

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Source: Social science information studies. 4(1984), S.167-183
Type: a

Solomon, P.: Access to fiction for children : a user-based assessment of options and opportunities (1997) 0.01

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Abstract: Reports on a study of children's intentions, purposes, search terms, strategies, successes and breakdowns in accessing fiction. Data was gathered using naturalistic methods of persistent, intensive observation and questioning with children in several school library media centres in the USA, including 997 OPAC transactions. Analyzes the data and highlights aspects of the broader context of the system which may help in development of mechanisms for electronic access
Footnote: Contribution to a special issue devoted to papers read at the 1996 Electronic Access to Fiction research seminar at Copenhagen, Denmark
Source: Information services and use. 17(1997) nos.2/3, S.139-146
Type: a

Knautz, K.; Dröge, E.; Finkelmeyer, S.; Guschauski, D.; Juchem, K.; Krzmyk, C.; Miskovic, D.; Schiefer, J.; Sen, E.; Verbina, J.; Werner, N.; Stock, W.G.: Indexieren von Emotionen bei Videos (2010) 0.00
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Abstract

Gegenstand der empirischen Forschungsarbeit sind dargestellte wie empfundene Gefühle bei Videos. Sind Nutzer in der Lage, solche Gefühle derart konsistent zu erschließen, dass man deren Angaben für ein emotionales Videoretrieval gebrauchen kann? Wir arbeiten mit einem kontrollierten Vokabular für neun tionen (Liebe, Freude, Spaß, Überraschung, Sehnsucht, Trauer, Ärger, Ekel und Angst), einem Schieberegler zur Einstellung der jeweiligen Intensität des Gefühls und mit dem Ansatz der broad Folksonomy, lassen also unterschiedliche Nutzer die Videos taggen. Versuchspersonen bekamen insgesamt 20 Videos (bearbeitete Filme aus YouTube) vorgelegt, deren Emotionen sie indexieren sollten. Wir erhielten Angaben von 776 Probanden und entsprechend 279.360 Schiebereglereinstellungen. Die Konsistenz der Nutzervoten ist sehr hoch; die Tags führen zu stabilen Verteilungen der Emotionen für die einzelnen Videos. Die endgültige Form der Verteilungen wird schon bei relativ wenigen Nutzern (unter 100) erreicht. Es ist möglich, im Sinne der Power Tags die jeweils für ein Dokument zentralen Gefühle (soweit überhaupt vorhanden) zu separieren und für das emotionale Information Retrieval (EmIR) aufzubereiten.

Source

Information - Wissenschaft und Praxis. 61(2010) H.4, S.221-236

Type

a
Andersson, R.; Holst, E.: Indexes and other depictions of fictions : a new model for analysis empirically tested (1996) 0.00
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Abstract

In this study descriptions of a novel by 100 users at 2 Swedish public libraries, Malmö and Molndal, Mar-Apr 95, were compared to the index terms used for the novels at these libraries. Describes previous systems for fiction indexing, the 2 libraries, and the users interviewed. Compares the AMP system with their own model. The latter operates with terms under the headings phenomena, frame and author's intention. The similarities between the users' and indexers' descriptions were sufficiently close to make it possible to retrieve fiction in accordance with users' wishes in Molndal, and would have been in Malmö, had more books been indexed with more terms. Sometimes the similarities were close enough for users to retrieve fiction on their own

Type

a

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