Human Information Interaction

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Background and Aim: Pregnant women are the most active users of health information with regard to the growing use of the Internet as an important source of information. This research studies the information interactions of pregnant women in Ninisite forum, andis to create awareness of pregnant women. This site is the largest Persian-language site for women's issues, pregnancy and parenting.
Methods: This applied research uses qualitative content analysis and semiotic analysis techniques. Content analysis method was used to identify the topics of the exchanged messages. Semiotic method was used to explore the dimensions of trust between users. All messages in the two sections of before and during pregnancy in a 6-month period (from October to March 2013) were studied.
Results: Analyzing two forums related to before and during pregnancy showed that users talk about different aspects of life. Medical, sales, education, recreation, friendships and communing, religion and lifestyle and empathy were the main themes of discussions. Most common information needs of women are: infertility disorders, diagnosis and treatment, the symptoms and complications of pregnancy, the fetus disorders, the pregnancy and delivery and birth. Cognitive and affective dimensions were the main components of trust among users.
Conclusion: Results reveals the potential of forums for information exchange, therefore, applying forums for the dissemination of health information is recommended. It is also important that health officials control the quality of health information on the 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: Automatic identification and classification of the Iranian traditional music scales (Dastgāh) and melody models (Gusheh) has attracted the attention of the researchers for more than a decade. The current research aims to review conducted researches on this area and consider its different approached and obstacles.
Method: The research approach is content analysis and data collection method is based on the documentary-library study.
Results: Findings indicated that the main obstacles and reasons for the inefficiency of this area researches are due to performing the researches in parallel and individually, lack of a coherent dataset for Iranian traditional music and also, lack of researcher’s knowledge of the theoretical foundations of Iranian traditional music.
Conclusion: It could be considered two main approaches for researches in automatic identification of the Iranian traditional music. The major researches has been published until now, is conducted based on Macro approach, which merely considers the scales of five Dastgāhs in distinguishing them from each other. Since Dastgāhs division does not have enough authenticity and there is no consensus on the number of Dastgāhs and their boundaries among the Iranian music theorists, Micro approach has been suggested for future researches, which tries to identify short melody models (Gushehs) based of melody sequences of representative phrase of the Gusheh. 

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Background and Aim: This study attempted to investigate Khouzestan Institute for Higher Education students' viewpoints on librarians' nonverbal communication skills and their roles to attract the audience.
Methods: This is an analytical survey which used a researcher-made questionnaire to measure librarians’ communication skills in five dimensions by 39 statements. It also measured students’ satisfaction of librarians’ performance through one question. The population consisted of 3500 bachelor students enrolled in second semester of 2016-2017 academic year. According to Krejcie and Morgan Table, 346 students were determined as the sample. Using SPSS v.20 software, descriptive and inferential statistics were applied.
Results: From the students point of view the total score of nonverbal communication skills of librarians was 4.58±0.71. The highest means belonged to “facial expression” (4.70±.30) and “their situations and hints (4.64±.468). The score of students’ satisfaction with librarians was 4.68±0.47, accordingly.   
Conclusion: There are a lot of research on non-verbal communications skills in general; however, there was no sufficient research on librarian's non-verbal communication skills. Library in academic institutions, where librarians interact with the youth, non-verbal communication skills may prevent many unnecessary encounters.

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Background and Aim: A review of the National Library's clients' viewes on receiving reference services through mobile-based social networks.
Methods: First, through the documentary-library research method, the components of reference services were identified, then, by using a researcher-made questionnaire, the perspective of members of the National Library, was surveyed. Based on the average number of daily visitors to the National Library, the sample size of 217 people was selected based on Morgan's table as a simple random sampling and finally 147 returned questionnaires were analyzed using SPSS software. The Reliability of the questionnaire was confirmed by Cronbach's alpha and its Validity confirmed based on the opinion of 6 experts in library and information science.
Results: 98% of the members of the National Library are users of mobile social networks, and in addition to gaining news and family communication, 63% use it to retrieve scientific information. The average total component of reference services showed that subjects were willing to use this platform to receive reference services.
Conclusion: Mobile social networks have a scientific function for clients of the National Library, and they have already started using social networks for research purposes. From the users' point of view, these networks are a good communication channel for providing reference services, especially information literacy training and answering research questions.
 

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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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Background and Aim: The meaning of cross-domain recommendation is that instead of dealing with each domain independently, transfer knowledge gained in one domain (source) to another domain (target) and use it. The present article systematically reviews the research in this field in terms of foundations, applications and challenges.
Method: The Prisma guidelines had been used. Search in Persian and English scientific information sources with related keywords were conducted and 98 English language sources were found in the period 2007 to 2021. Applying the initial refinement, inclusion and exclusion criteria by experts, 28 English documents were selected to enter in the systematic review.
Findings: There are four levels of cross-domain recommendations: Attributes, types, items and systems. Machine learning algorithms are used to predict user rating in cross-domain recommendations, and three categories of:  Prediction, ranking, and classification criteria are used to evaluate predictions based on confusion matrix. Cross-domain recommendations can be used to increase the accuracy of recommendations, resolve cold start problems, cross-sell, and improve personalization by transferring knowledge between domains. The most challengeable recommendations of cross-domain is the differences between domains. These differences include the mismatch between the properties of the domains and/or unclear relationships between the domains. In addition, differences in domain size and poor performance of basic algorithms in predicting user rating are other challenges in cross-domain recommendations.
Conclusion: While this subject has been shaped in the last decade, but the keen attention of computer science and information researchers shows its importance. Items level are the main category of cross-domain recommendations. Due to the formation of e-business groups, in the future, cross-domain recommendations at the system level will be given more consideration. Cross-domain recommendations could be used to improve the performance of recommender systems, user modeling in human-computer interaction, and e-commerce.

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Purpose: Study aimed to identify the applications of data mining in the provision of services, collection and management of digital libraries.
Methodology: This is an applied study in terms of purpose and in terms of method is qualitative research that have been done by systematic review method. For this purpose, articles have been obtained by searching databases of Springer, Emerald, ProQuest, Web of Science, Google Scholar, Science Direct, and Semantic Scholar.
Articles published between 2000 and 2021 have been scrutinized. The systematic review model of Kitchenham and Charter (2007) was surveyed. According to the inclusion criteria, 1296 articles have been extracted after initial refinement, and among them, 77 articles related to the subject have been identified by reviewing the titles of articles and entered the final review by reviewing the full text. In conclusion, 29 articles were chosen for final analysis. The Qualitative content- coding method was used for data analysis and qualitative analysis was performed by two coders. The agreement of the evaluators based on the formula of Miles and Haberman for the performed analyzes, 78.5 was obtained.
Findings: Based on the results of qualitative analysis, 74 basic, 13 organizing and 3 comprehensive themes of "digital services,” “digital library management" and "digital collection" have been identified, which in total define the application of data mining in digital libraries represented.
Conclusion: Using data mining techniques in digital libraries, a variety of information can be stored seamlessly in different classes so that the end user of the information could meet their information needs in the shortest possible time. On the other hand, libraries can provide more useful resources by analyzing their users' information interests, and this can be considered a turning point in situations where libraries are facing financial difficulties.
 

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