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Yuan, X. (J.); Belkin, N.J.: Applying an information-seeking dialogue model in an interactive information retrieval system (2014)
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- Abstract
- Purpose - People often engage in different information-seeking strategies (ISSs) within a single information-seeking episode. A critical concern for the design of information retrieval (IR) systems is how to provide support for these different behaviors in a manner which searchers can easily understand, navigate and use, as they move from one ISS to another. The purpose of this paper is to describe a dialogue structure that was implemented in an experimental IR system, in order to address this concern. Design/methodology/approach - The authors conducted a user-centered experiment to evaluate the IR systems. Participants were asked to search for information on two different task types, with four different topics per task, in both the experimental system and a baseline system emulating state-of-the-art IR systems. The authors report here the results related explicitly to the use of the experimental system's dialogue structure. Findings - For one of the task types, most participants followed the search steps as predicted in the dialogue structures, and those who did so completed the task in fewer moves. For the other task type, predicted order of moves was often not followed, but participants again used fewer moves when following the predicted order. Results demonstrate that the dialogue structures the authors designed indeed support effective human information behavior patterns in a variety of ways, and that searchers can effectively use a system which changes to support different ISSs. Originality/value - This study shows that it is both possible and beneficial, to design an IR system which can support multiple ISSs, and that such a system can be understood and used successfully.
- Date
- 6. 4.2015 19:22:59
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Yuan, X.; Belkin, N.J.: Evaluating an integrated system supporting multiple information-seeking strategies (2010)
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- Abstract
- Many studies have demonstrated that people engage in a variety of different information behaviors when engaging in information seeking. However, standard information retrieval systems such as Web search engines continue to be designed to support mainly one such behavior, specified searching. This situation has led to suggestions that people would be better served by information retrieval systems which support different kinds of information-seeking strategies. This article reports on an experiment comparing the retrieval effectiveness of an integrated interactive information retrieval (IIR) system which adapts to support different information-seeking strategies with that of a standard baseline IIR system. The experiment, with 32 participants each searching on eight different topics, indicates that using the integrated IIR system resulted in significantly better user satisfaction with search results, significantly more effective interaction, and significantly better usability than that using the baseline system.
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Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010)
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- Abstract
- We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.
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Belkin, N.J.: ¬The use of multiple information problem representation for information retrieval (1994)
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- Abstract
- Discusses the general issues of the effect and use of multiple representations of the same information problem, or topics, on information retrieval system performance. It has been known for some time that different representations of the same information problem retrieve different sets (or lists) of documents, both relevant and non-relevant. More recently, there have been a number of studies investigating the effects of combining, in various ways, such different representations, in order to try to get a single response from the information retrieval system which is better than that for any of the single representations. Discusses the rationale, both empirical and theoretical, for such an approach, and surveys the results of recent research projects in this area. All of them demonstrate the same phenomenon; the more representations one can combine, the better the retrieval performance. Discusses the implications of these results for information retrieval system design and information retrieval
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Belkin, N.J.: Intelligent information retrieval : whose intelligence? (1996)
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- Abstract
- The concept of 'intelligent' information retrieval was first mooted in the late 1970s, but had lost currency within the information retrieval community by at least the early 1990s. With the popularity of the concept of 'intelligent agents', it appears that the idea of intelligent information retrieval is again in general vogue. In this paper, I attempt to show that the naive concept of intelligent information retrieval, based on the the idea of agency, misses the essence of intelligence in the information retrieval system, and will inevitably lead to dysfunctional information retrieval. As a counter-proposal, I suggest that true intelligence in information retrieval resides in appropriate allocation of responsibility amongst all the actors in the information retrieval system, and that intelligent information retrieval will be achieved through effective support of people in their various interactions with information
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Belkin, N.J.; Marchetti, P.G.; Albrecht, M.; Fusco, L.; Skogvold, S.; Stokke, H.; Troina, G.: User interfaces for information systems (1991)
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- Abstract
- This paper presents descriptions of four information / system interface projects in progress at ESRIN, the astablishment of the European Space Agency (ESA) in Italy. Each project demonstrates a somewhat different approach to interface design, but all share the commonality of responding to user goals, tasks and characteristics. It is suggested that next generation scientific information systems will have to be designed for direct access by end users to a large variety of information sources, through a common interface. Design of such systems, including their interfaces, should be based on a multi-level analysis of user goals, tasks and domain views.
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Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.109-145
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Belkin, N.J.; Marchetti, P.G.; Cool, C.: BRAQUE: design of an interface to support user interaction in information retrieval (1993)
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- Source
- Information processing and management. 29(1993) no.3, S.325-344
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Belkin, N.J.; Croft, W.B.: Information filtering and information retrieval : two sides of the same coin? (1992)
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- Source
- Communications of the Association for Computing Machinery. 35(1992) no.12, S.29-38
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Dumais, S.T.; Belkin, N.J.: ¬The TREC interactive tracks : putting the user into search (2005)
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- Date
- 29. 3.1996 18:16:49
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Li, Y.; Belkin, N.J.: ¬A faceted approach to conceptualizing tasks in information seeking (2008)
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- Date
- 22.11.2008 16:29:21
-
Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998)
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- Date
- 22. 9.1997 19:16:05
