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

نویسندگان

  • Xiangmin Zhang
  • Mark H. Chignell
چکیده

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, academic background, and computer experience. The repertory grid technique was used in the study. Using this method, important components of information retrieval systems were represented by nine concepts, based on four IR experts’ judgments. Users’ mental models were represented by factor scores that were derived from users’ matrices of concept ratings on different attributes of the concepts. The study found that educational and professional status, academic background, and computer experience had significant effects in differentiating users on their factor scores. First language had a borderline effect, but the effect was not significant enough at a 5 0.05 level. Specific different views regarding IR systems among different groups of users are described and discussed. Implications of the study for information science and IR system designs are suggested.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Behavioral Considerations in Developing Web Information Systems: User-centered Design Agenda

The current paper explores designing a web information retrieval system regarding the searching behavior of users in real and everyday life. Designing an information system that is closely linked to human behavior is equally important for providers and the end users.  From an Information Science point of view, four approaches in designing information retrieval systems were identified as system-...

متن کامل

Review of ranked-based and unranked-based metrics for determining the effectiveness of search engines

Purpose: Traditionally, there have many metrics for evaluating the search engine, nevertheless various researchers’ proposed new metrics in recent years. Aware of this new metrics is essential to conduct research on evaluation of the search engine field. So, the purpose of this study was to provide an analysis of important and new metrics for evaluating the search engines. Methodology: This is ...

متن کامل

Analysis of the Therapists’ Information Behavior in the diagnosis and treatment of mental disorders based on Kuhlthau's information retrieval process model

Background and Aim: Under the influence of various factors, people use different methods and methods to obtain information and express different information behaviors. These behaviors have been introduced in the form of patterns and models of information retrieval by information science experts in recent decades, which can be used in various fields. One of these areas that almost all people are...

متن کامل

Context-Aware Recommender Systems: A Review of the Structure Research

 Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...

متن کامل

QEA: A New Systematic and Comprehensive Classification of Query Expansion Approaches

A major problem in information retrieval is the difficulty to define the information needs of user and on the other hand, when user offers your query there is a vast amount of information to retrieval. Different methods , therefore, have been suggested for query expansion which concerned with reconfiguring of query by increasing efficiency and improving the criterion accuracy in the information...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JASIST

دوره 52  شماره 

صفحات  -

تاریخ انتشار 2001