Identifying effective cognitive biases in information retrieval Gisoo Gomroki, Hassan Behzadi, Rahmatolloah Fattahi, Javad Salehi Fadardi Journal of Information Science, 2023 The purpose of this study is to identify the types of cognitive biases in the process of information retrieval. This research used a mixed-method approach for data collection. The research population consisted of 25 information retrieval specialists and 30 post-graduate students. We employed three tools for collecting data, including a checklist, log files and semi-structured interviews. The findings showed that from the perspective of information retrieval specialists, the cognitive biases such as ‘Familiarity’, ‘Anchoring’, ‘Rush to solve’ and ‘Curse of knowledge’ could be of the greatest importance in the field of information retrieval. Also, in terms of users’ searching, the ‘Rush to solve problems’ and ‘Mere exposure effects’ biases have the highest frequency, and the ‘Outcome’ and ‘Curse of knowledge’ biases have the lowest frequency in the process of user retrieval information. It can be concluded that, because cognitive biases occurring in information retrieval, designers of information retrieval systems and librarians should pay attention to this issue in designing and evaluating information systems.
Chatbot: an intelligent tool for libraries Majideh Sanji, Hassan Behzadi, Gisu Gomroki Library Hi Tech News, 2022 Purpose The purpose of this paper is to introduce chatbot as a new tool of artificial intelligence (AI) and represent the feasibility of using it in different sections of libraries. Design/methodology/approach The present paper is a theoretical paper that was conducted by the library research method. In this paper, while reviewing various articles in the field of a chatbot, has been tried to identify practical usage of chatbot in library and information centers and also illustrate it. Findings Findings show that although chatbot is used in some libraries, but this use is limited. Libraries must use the capabilities of this powerful tool for their own purposes and provide the satisfaction of their users. In addition to the benefits of a chatbot, there are some challenges that should be considered by librarians. Originality/value Few articles have addressed the usage of AI tools such as chatbot in libraries. So, this paper is one of the few articles that express the usage of chatbot in different sections of the library and gives practical examples of their usage in some libraries, mentions the challenges ahead of librarians in the face of this technology.
The role of demographic variables in frequency of cognitive biases in information retrieval Iranian Journal of Information Processing and Management, 2020
RECENT SCHOLAR PUBLICATIONS
Chatbot: an intelligent tool for libraries M Sanji, H Behzadi, G Gomroki Library Hi Tech News 39 (3), 17-20 , 2022 2022 Citations: 104
Identifying effective cognitive biases in information retrieval G Gomroki, H Behzadi, R Fattahi, J Salehi fadardi Journal of Information Science 49 (1) , 2021 2021 Citations: 40
The Role of Demographic Variables in Frequency of Cognitive Biases in Information Retrieval G Gomroki, H Behzadi, R Fattahi, J Salehi Fadardi Iranian Journal of Information Processing and Management 36 (1), 127-154 , 2020 2020 Citations: 1
Measuring Mashhad's academic librarians' attitudes to and readiness for mobile learning and its devices G Gomroki, H BEHZADI Library and Information Science Research 9 (117), 289-308 , 2019 2019 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Chatbot: an intelligent tool for libraries M Sanji, H Behzadi, G Gomroki Library Hi Tech News 39 (3), 17-20 , 2022 2022 Citations: 104
Identifying effective cognitive biases in information retrieval G Gomroki, H Behzadi, R Fattahi, J Salehi fadardi Journal of Information Science 49 (1) , 2021 2021 Citations: 40
Measuring Mashhad's academic librarians' attitudes to and readiness for mobile learning and its devices G Gomroki, H BEHZADI Library and Information Science Research 9 (117), 289-308 , 2019 2019 Citations: 5
The Role of Demographic Variables in Frequency of Cognitive Biases in Information Retrieval G Gomroki, H Behzadi, R Fattahi, J Salehi Fadardi Iranian Journal of Information Processing and Management 36 (1), 127-154 , 2020 2020 Citations: 1