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Assessment of the effects of user characteristics on mental models of information retrieval systems

Xiangmin Zhang, Mark Chignell
2001 Journal of the American Society for Information Science and Technology  
This article reports the results of a study that investigated effects of four user characteristics on users' mental models of information retrieval systems: educational and professional status, first language  ...  Users' mental models were represented by factor scores that were derived from users' matrices of concept ratings on different attributes of the concepts.  ...  Our thanks also go to the anonymous reviewers for their valuable comments on an earlier draft of this article.  ... 
doi:10.1002/1532-2890(2001)9999:9999<::aid-asi1092>3.0.co;2-3 fatcat:dnvbfwwjtneaxixi6vs7tmhd3m

Assessment of the effects of user characteristics on mental models of information retrieval systems

Xiangmin Zhang, Mark Chignell
2001 Journal of the American Society for Information Science and Technology  
This article reports the results of a study that investigated effects of four user characteristics on users' mental models of information retrieval systems: educational and professional status, first language  ...  Users' mental models were represented by factor scores that were derived from users' matrices of concept ratings on different attributes of the concepts.  ...  Our thanks also go to the anonymous reviewers for their valuable comments on an earlier draft of this article.  ... 
doi:10.1002/1532-2890(2001)9999:9999<::aid-asi1092>3.3.co;2-v fatcat:plomrxtncvcmpbgumc2vl4pv3a

Page 37 of Library & Information Science Abstracts Vol. , Issue 6 [page]

1994 Library & Information Science Abstracts  
Current research into the retrieval effectiveness of 2 full text legal databases is evaluated in light of the behavioral theory and mental models developed.  ...  While topical relevance can be effective in evaluating indexing and retrieval approaches, it is ineffective for measuring the impact of systems on users.  ... 

Uses and Gratification Theory in Connection with Knowledge and Information Science: A Proposed Conceptual Model

Jafar Mehrad, Pegah Tajer
2016 International journal of information science and management  
Therefore, the components of uses and gratification conceptual model of knowledge and information science in traditional and modern contexts consist of vast types of information needs, society, end users  ...  Findings showed that UGT is in close connection with five laws of library science and their web version on one hand, and the user-oriented paradigm on the other hand.  ...  Conceptual models have an important role in the user' information seeking behaviors, selecting resources, and how new characteristics of information retrieval systems are used (Mirzabeigi, 2013) .  ... 
doaj:30370ce5a12947be9efcbef92a0cc212 fatcat:lrjxufe5jfbovmp4dlzpfb2xsm

Psychological determinants of information searching activity

L. Gorunova
2012 Work : A journal of Prevention, Assesment and rehabilitation  
Analysis of empirical researches showed that specific features of information search depend on how the user evaluates information resources, information, conditions and results of search.  ...  The research approach to the information retrieval activity based on the principles developed in the Russian theory of activity is described; and the fundamentals of G.  ...  Such approach allows focusing on a particular aspect, nevertheless retaining understanding and taking into account the system characteristics of the activity under study.  ... 
doi:10.3233/wor-2012-0538-2882 fatcat:5p7qdhatnrfjtjtltneacoijpq

Using the repertory grid and laddering technique to determine the user's evaluative model of search engines

Sarah E. Crudge, Frances C. Johnson
2007 Journal of Documentation  
The purpose is to determine the extent to which these elicited 'mental models' indicate the system aspects of importance to the user and from this their evaluative view of these tools.  ...  Originality/value of the paper The methodology has not previously been used to determine mental models of search engines and from these to understand users' evaluative view of systems.  ...  "Assessment of the effects of user characteristics on mental models of information retrieval systems", Journal of the American society for information science and technology, 52(6), pp. 445-459.  ... 
doi:10.1108/00220410710737213 fatcat:bxlrkfcjczhdzpkxcj2comzhoq

Clinical Decision Support Systems for Child Neuropsychiatric Disorders: The Time has Come?

Koposov Roman, Frodl Thomas, Nytrø Øystein, Leventhal Bennett, Sourander Andre, Quaglini Silvana, Molteni Massimo, Vayá María de la Iglesia, Prokosch Hans Ulrich, Barbarini Nicola, Milham Michael Peter, Castellanos Francisco Xavier (+1 others)
2017 Annals of Cognitive Science  
data in order to generate new information and models for clinic decision support at the level of the individual patient, using the already available informatics frameworks.  ...  The new clinical decision support system for child and adolescent mental disorders needs to integrate existing heterogeneous, geographically distinct, current and historical patient-specific and population-specific  ...  The retrieved information regarding the similar cases should then be used to support the decisions of the end-user.  ... 
doi:10.36959/447/335 fatcat:msi63wojabf77myppw6rj7sct4

Price Mechanism for Knowledge Transfer: An Integrative Theory

Ming-Hui Huang, Eric T.G. Wang, Abraham Seidmann
2007 Journal of Management Information Systems  
User characteristics serve as control variables that remove the additional source of variance in knowledge preference models because the information retrieval skills of users and their knowledge levels  ...  The B vector can be obtained with maximum likelihood estimates. exp (Bj) where P. is the probability of j, given user i, with characteristics x,; Bis the vector of the effect of user characteristics on  ... 
doi:10.2753/mis0742-1222240303 fatcat:g3rjrqajlrd57cqw354a4a7hba

Individual differences in virtual environments?Introduction and overview

Chaomei Chen, Mary Czerwinski, Robert Macredie
2000 Journal of the American Society for Information Science  
The effects of individual differences on the use of these new technologies are yet to be found out.  ...  In particular, we highlight the notion of structure in the perception of individual users of an information system and the role of individuals' abilities to recognize and use such structures to perform  ...  Acknowledgments We would like to thank Don Kraft, the editor of JASIS, for his valuable help and support.  ... 
doi:10.1002/(sici)1097-4571(2000)51:6<499::aid-asi2>3.0.co;2-k fatcat:4p5snkpwzngwlk2fnfmzjy3k4m

Developing a Framework for Assessing Information Quality on the World Wide Web

Shirlee-Ann Knight, Janice Burn
2005 Informing Science  
This paper attempts to address some of the issues involved in determining what quality is, as it pertains to information retrieval on the Internet.  ...  The rapid growth of the Internet as an environment for information exchange and the lack of enforceable standards regarding the information it contains has lead to numerous information qual ity problems  ...  The focus on IQ from the perspective of Information Retrieval is a relatively new research area, but is absolutely critical if Information Retrieval Systems are to become effective tools for retrieving  ... 
doi:10.28945/493 fatcat:kfooyswwzvh7jfwvlstux323sy

Finding facts vs. browsing knowledge in hypertext systems

G. Marchionini, B. Shneiderman
1988 Computer  
Users' information retrieval depends on the cognitive representation (mental model) of a system's features, which is largely determined by the conceptual model designers provide through the human-computer  ...  Other determinants of successful retrieval include the users' knowledge of the task domain, information-seeking experience, and physical setting.  ...  Hypertext usage depends on what mental models users have for the system. These mental models in turn depend on the conceptual models used by designers to create and present the system.  ... 
doi:10.1109/2.222119 fatcat:hoczgqqaxbg3tega4amhnn4qaa

The Characteristic and Success Factors of an Organizational Memory Information System

Saidatul Rahah Hamidi, Kamaruzaman Jusoff
2009 Computer and Information Science  
The paper provides details of solution to academic management on the approach to making organizational memory information system work in practice.  ...  The approaches to manage memories in the model have yielded a number of benefits as demonstrated by a case study.  ...  Furthermore, OMIS success model will be the tools to self assess of the organization's OMIS implementation.  ... 
doi:10.5539/cis.v2n1p142 fatcat:x5baaqajjna4xkav2gml3tgrzu

Mental health discourse and social media: which mechanisms of cultural power drive discourse on Twitter

Alina Pavlova, Pauwke Berkers
2020 Social Science and Medicine  
Drawing on Twitter data, this research employs innovative methods of topic modeling, sentiment analysis, and panel data regression analyses.  ...  The global burden of mental health disorders has increased steadily during the past decade. Today, mental illness is the leading cause of total years lived with disability.  ...  The authors would like to thank the conference participants for feedback on the earlier version of this article.  ... 
doi:10.1016/j.socscimed.2020.113250 pmid:32862081 fatcat:rqk3osqhivdkta77msqycohgwe

Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis [article]

Jürgen Bernard and Christian Ritter and David Sessler and Matthias Zeppelzauer and Jörn Kohlhammer and Dieter Fellner
2017 arXiv   pre-print
Taking the example of soccer players, we present a visual-interactive system that learns users' mental models of similarity.  ...  The definition of similarity is a key prerequisite when analyzing complex data types in data mining, information retrieval, or machine learning.  ...  Proof of Concept -Fixed Mental Model The first experiment assesses whether the similarity model of the system is able to grasp the mental similarity model of a user.  ... 
arXiv:1703.03385v1 fatcat:xfzr3gp4rzdn5dad4oxuaifhui

Discovering Latent Depression Patterns in Online Social Media

Esteban A. Ríssola, David E. Losada, Fabio Crestani
2019 Italian Information Retrieval Workshop  
In this work, we present our research towards building automatic early detection systems based on user-generated content.  ...  CCS CONCEPTS • Information systems → Data stream mining; • Applied computing → Psychology.  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for the constructive suggestions. This work was supported in part by the Swiss Government Excellence Scholarships and Hasler Foundation.  ... 
dblp:conf/iir/RissolaLC19 fatcat:p2bnegvxrvalpan5kyisojnlyi
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