Human Information Interaction

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Background and Aim: Collaborative information seeking is an interaction among members of a group who purposefully try to access and share joint information. Although collaboration is a key component of information seeking behavior, but most of the studies in this area are focused on individual information seeking behavior and collaborative aspects are considered much less. As a result, there is a need for understanding conceptual features as well as supportive technical methods of information behavior in collaborative activities. Method: The present review article has studied concepts and theories of collaborative information behavior using library method. Results: In this research, firstly, the concept of collaboration is explained and differences with other concepts like communication, coordination and cooperation are explained. Moreover, the concept of collaborative information behavior and collaborative information seeking behavior are discussed from different viewpoints and suggestions are offered for future research. Conclusion: collaborative information behavior is one of the most important concepts in human information interaction studies and it can be known as dynamic activities in a group including searching, combining, publishing and producing information.

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Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval systems field necessary. The objective of this study was to conduct a systematic review of papers on medical image retrieval systems appeared between 2000 and 2011.
Method: The major scientific databases (Medline, Scopus, Webof Knowledge (ISI), and Google Scholar) were searched, using standard keywords in English between 2000 and 2011. All papers reviewed using standard critical assessment and grading and papers with more than half of the quality scores were considered as qualified to enter to the next stage. Then, the data in selected studies were extracted and classified.
Results: Eighty sixreviewed papers were classified into 3 categories. The first category introduced new medical image retrieval systems (40%) and the second category presented a new framework for the major medical image retrieval systems (45%) and the last category was about medical image retrieval systems evaluation (15%). However, the growth rate was increasing during the period and the most papers published in 2009. The CBIR systems were used more (66%) and then hybrid systems (20%) respectively.  
Conclusion: Applying medical image retrieval systems with Decision Support Systems (DSS) and other information and computer technologies can help clinicians to present a better service and can help them in diagnosis as well. Meanwhile, these systems can be very useful in education and research, the medical image retrieval systems can be more successful if they are designed for a specific field and based on new and modern image features.

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Background and Aim: This research aimed to study emotions attribution style of users in information retrieval based on Weiner's theory.

Methods: The survey method was used in this study. Population consisted of graduate students in humanities at Imam Reza (AS) International University. Sample of 72 students was selected.  Data was collected by attribution style questionnaire (ASQ) and two researcher made questionnaires.

Results: Research findings showed that users attributed success and failure in information retrieval to internal causes. Also, consistent with Wiener theory, users attribute success to attempts and failure to inability and insufficient effort. On the other hand, it was found that there is significant relationship between users overall attribution style and information retrieval attribution style.

Conclusion: It can be determined that style of user attribution in information retrieval would strengthen correct attributions and destroys incorrect attributions in information retrieval and thereby provided better information retrieval.

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Abstract

Background and Aim: The socio-cognitive theory introduced in information science by Horland and Alberchtsen. The socio-cognitive view turns the traditional cognitive program upside down. The socio-cognitive theory emphasizes on different cultural and social structures of users. Hence, the aim of the article is to explain the role of socio - cognitive theory in information retrieval (IR).

Method: The role of the socio - cognitive theory in information retrieval was determined by reviewing of relevant literature and identifying its concepts. The current research methodology is descriptive, analytical and theoretical. The research paradigm is qualitative.

Results: The results revealed that the socio - cognitive theory can affect the information retrieval (IR), information behavior and relevancy. The socio - cognitive helps classification of a particular topic in information retrieval. It can change a thesaurus to ontology. Also, it can contribute to non-linguistic factors in understanding the meaning in ontologies and it can take account into the mediating factors in information-seeking behavior.

Conclusion. The result of this study showed that we can not only examine issues related to information retrieval, relevancy and information behavior through the traditional cognitive views. We have to sure that all the cultures and social factors are examined in our studies about IR.

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Background and Aim: The present study has been done in order to survey contextualized information retrieval behavior by the students of Kharazmi University.
Methods: This is descriptive applied research. Statistical population includes all the students currently studying at the Kharazmi University in the time of research. Sample of research includes 196 students selected by convenience sampling method. In order to collect information a researcher-designed questionnaire was used. The questionnaire’s reliability was 6.82 and its validity was confirmed some university professors. For analyzing data, One- sample T- test and independent samples T test were used.
Results: Results showed that the main efficient factor in information retrieval behavior of students was computer sites of the university. Students obtained their required scientific information through Internet resources via search engines. Their main aim in seeking scientific information was doing their assignments. Students primary aim of seeking scientific information was to collect educational information followed by research information.
Conclusion: The main impediment and problem on the way of information seeking at the university was low internet speed. Also, there was no significant differences between demographic factors (gender, marital status and resident’s status) and information retrieval behavior of students. Only in some research variables we found significant differences.
 
Keywords: Information retrieval behavior, Context, Students, Kharazmi University.

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Background and Aim: The aim of this study was to measure the overlap of 4 local Persian search engines of Parsijoo, Yooz, Parseek, and Rismoun and to compare the capabilities of these engines in covering indexable web.
Methods: This was an applied and evaluative research. To collect data, a keyword-based method was used. First, the selected keywords were entered into the search engines and then a sample was extracted of the retrieved records. Finally, based on the existence or absence of these records in the search engines, the necessary data were gathered. Accordingly to analyze the data, inferential statistical methods were used.
Results: The relative overlap of the Parseek compared to that of Parsijoo and Parsijoo's one compared to Yooz was 26 percent on average and Parseek had the most recall. Rismoun had not any common records with the other investigated search engines. Three search engines (Parseekc, Parsijoo and Yooz retrieved 27 common records out of 225 recalled records; there was a significant difference between the relative overlap of the 4 search engines. Also, on average, Parseel, Parsigoo, Yooz and Rismoun covered respectively 38, 31, 26, and 6 percent of the indexable web. There was a significant difference between the coverage of the 4 search engines.
Conclusion: It seems that each search engine has a different indexing policy, and users need to search for more than one search engine to get comprehensive information about an issue. It can be predicted that by foraging in two search engines, Parseek and Parsijoo, one may access 70 percent of the indexable web.

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Background and Aim: The current research aims at prototyping query-by-humming music information retrieval systems for smart phones.
Methods: This multi-method research follows simulation technique from mixed models of the operations research methodology, and the documentary research method, simultaneously. Two chromatic harmonica albums comprised the research population. To achieve the purpose of research, 24 homophonic tracks were splitted by using Helium Audio Splitter software. The splits were processed by Sonic Visualiser software; and 168 XML documents were produced. On the other hand, 4 research participants hummed and recorded splits. Hummed tracks were converted by using AMR to MP3 Converter software, processed by Sonic Visualiser, and resulted in 672 XML documents. MATLAB software was learned by the first group of XML documents (168), and then, processed the second group of XML documents (672) for providing desirable outputs. Outputs were compared by using Image Comparer software.
Results: Findings indicated a high degree of similarity (99 %) between outputs of two groups of XML documents. It has also been found that the gender and the music skill do not have any impact on the results.
Conclusion: It could be acknowledged that designing query-by-humming systems based on converting audio to XML documents, and document matching, is an appropriate strategy towards developing music retrieval applications for smart phones.

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Background and Aim: The aim of the study is to investigate the prevailing views in the field of information retrieval in information science (system-oriented, user-oriented and domain-oriented) and to enlighten the new view of "semiotics."  The research seeks to answer the following questions: What are the main components of the views in information science? What are the characteristics of the semiotic view  and what is its added value compared to other perspectives?
Methods: Researches  that have used the concepts, models and theories of semiotics in various fields of information science were searched in the databases of Emerald, Scopus, Google Scholar. The retrieved articles were reviewed with the selection of 23 Articles.  The title, abstract and results of the articles as well as the full text of 5 articles associated to the purpose of the research were analyzed via content analysis method.
Results: Findings showed that most of the research in the field was published between 2000 and 2018 by mostly researchers in Denmark. Some articles have explained and defined the concept of information based on the concepts and theories of semiotics and had presented a new view on information science based on the classification, called the semiotic view.
Conclusion: The results showed that system-oriented, user-oriented and domain-oriented views emphasized the document and each of them emphasized an aspect. The semiotic point of view, information is intended as sign and can combine the characteristics of the three views and define the information regardless of the media that carries it and remove the boundaries of the document.

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Background and Aim: The object of the  study was to Analyze IFLA Library Reference Model (LRM) Entities and Attributes for Iranian Traditional Music Resources, Case Study: Morq-e Sahar Song.
Method: The  study inherits an applied content analysis method. All Entities and Attributes of  IFlA LRM Model based on  two checklists include:  Final report of IFlA LRM on August 2017 and Transition Mappings User Tasks, Entities, Attributes, and Relationships in FRBR, FRAD, and FRSAD mapped to their equivalents in the IFLA Library Reference Model Analyzed for Morq-e Sahar Song data elements. The research sample size involves Fifty different performances of Morq-e sahar Song.
Results: The results show that all the eleven Entities and the Thirty -Seven Attributes of IFLA-LRM except for Cartographic scale attribute parallels  in Morq-e sahar  song data elements.
Conclusion: As a first step,  the results of  the study  in identifying conveniences of this model for organizing traditional Iranian music resources, realizing IFlA LRM Model’s Entities and Attributes which is  appropriate in Iranian traditional music organization is operational.  The results are also practical for experts of Information organization and designers of Information retrieval system.

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Purpose: There are several metrics for evaluating search engines. Though, many researchers have proposed new metrics in recent years. Familiarity with new metrics is essential. So, the purpose is to provide an analysis of important and new metrics to evaluate search engines.
Methodology: This review article critically studied the efficiency of metrics of evaluation. So, “evaluation metrics,” “evaluation measure,” “search engine evaluation,” “information retrieval system evaluation,” “relevance evaluation measure” and “relevance evaluation metrics” were investigated in “MagIran” “Sid” and Google Scholar search engines. Articles gathered to inspect and analyse existing approaches in evaluation of information retrieval systems. Descriptive-analytical approach used to review the search engine assessment metrics.
Findings: Theoretical and philosophical foundations determine research methods and techniques. There are two well-known “system-oriented” and “user-oriented” approaches to evaluating information retrieval systems. So, researchers such as Sirotkin (2013) and Bama, Ahmed, & Saravanan (2015) group the precision and recall metrics in a system-oriented approach. They also believe that Average Distance, normalized discounted cumulative gain, Rank Eff and B pref are rooted in the user-oriented approach. Nowkarizi and Zeynali Tazehkandi (2019) introduced comprehensiveness metric instead of Recall metric. They argue that their metric is rooted in a user-oriented approach, while the goal is not fully met. On the other hand, Hjørland(2010) emphasizes that we need a third approach to eliminate this dichotomy. In this regard, researchers such as Borlund, Ingwersen (1998), Borlund (2003), Thornley, Gibb (2007) have mentioned a third approach for evaluating information retrieval systems that refer to interact and compose two mentioned approaches. Incidentally, Borlund, Ingwersen(1998) proposed a Jaccard Association and Cosine Association measures to evaluate information retrieval systems. It seems that these two metrics have failed to compose the system-oriented and user-oriented approaches completely,  and need further investigation.
Conclusion: Search engines involve different components including: Crawler, Indexer, Query Processor, Retrieval Software, and Ranker. Scholars  wish to apply the most efficient search engines for retrieving required information resources. Each   metrics measures a specific component, to measure all, it is suggested to select metrics from all three mentioned groups in their search.

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Background: The study was conducted to achieve three axes of goals (users, publishers and the system) by way of objectives related to: A) Users - measuring the level of their satisfaction with Taktab system and also use of various methods of data retrieval;  B) Publishers - Measuring the level of their satisfaction with Taktab system and also their expectations of the existence of a recommending arrangement in the Taktab system; C) Taktab system and assessment of the five components (facilities and services, equipment, finance, admission, knowledge and skills) in it as well as measuring the shortcomings of the recommending scheme in the system.  
Method:  A descriptive survey inspecting five components of feasibility for using Taktab system besides an analytical case study was used.  In the study, 2 researcher-made questionnaires for users (50 actual users) and publishers (18 publishers available by sampling) as well as interviews, an evaluation and observation checklists were incorporated. The population was three groups of managers, information technology engineers and actual users of the Taktab system. According to the set objectives Excel software tables were used to describe the data and a chi-square test for checklist evaluation.  Cronbach's Alpha was used to evaluate the reliability of the opinion poll.
Findings: Findings could be used as a first step in examining the possibilities of the Taktab system, the level of users^, interest and publishers, to create a book recommending system, and also the feasibility study of creating this system. Findings indicate that the use of recommender systems in digital library information retrieval can be a better way to identify the needs and interests and information resources of users and publishers and be an effective step to improve services in digital libraries. Focusing on the use of these systems can also be used as a new way for information organization professionals and designers of information retrieval systems to advance their goals in the age of technology and information retrieval.
Conclusion:  The initial steps to implement the design of a recommender system and the executive structure related to this system have been created in it. Based on the result, in the Taktab structure, it is possible to design and build a book recommendation system.

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Background and Aim: Mind map is a full-color illustrated note-taking in which, main idea or subject is situated. The main ideas then branch out from the center, which are linked to the central idea. This is a relatively new topic, and slight research has been conducted to show its effectiveness worldwide. The aim is to examine the effectiveness of mind maps in the information retrieval process.
Method: This is an applied in terms of purpose and in order to collect information about the familiarity and use of graduate students with mind maps by survey method. The present study also investigates the effect of mental map tools on quasi-experimental information retrieval. The statistical population of the present study includes all graduate students (Master and PhD) of Ferdowsi University of Mashhad in 2016-2017, in four areas: humanities, basic sciences, engineering and agricultural sciences. The statistical sample size of the first phase of the research includes 224 graduate students and 127 doctoral students. The total size of the laboratory population is 30 people. The sampling method of the first stage is stochastic research of relative classes. The sample size of the second stage of the laboratory is purposeful. A questionnaire was used to collect data in this study. Cronbach's alpha of questionnaire number one is more than 0.8 and questionnaire number two and three is more than 7%.
Results: Analysis show that the level of familiarity with mind maps and its use by graduate students at Ferdowsi University is below average. The average overall level search satisfaction with the whole search process in the second stage (3.833) is higher than the first stage (3.704). The average effectiveness of the whole search process in the second stage - with the help of mental map (359/3) is more than the first stage of the search process - without mental map (2.332).
Conclusion: Mind maps are effective tools in the process of information retrieval that can be used with careful, purposeful planning and in consultation with experts in the field of information retrieval and information science. Information systems, search engines, information needs, etc. are among the areas in which mind maps can be examined.

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