Abstract
Purpose - This paper presents the results of the second stage of a research project aiming to develop a bilingual interface for the retrieval of digital images. The main objective of this phase was to investigate the roles and usefulness of search characteristics and functionalities for image retrieval in a bilingual context.Design/methodology/approach - A bilingual (English and French) questionnaire containing closed and open questions was developed and administered to two groups of participants: 20 English-speaking and 20 French-speaking respondents. The quantitative data was analyzed according to statistical methods while the content of the open-ended questions was analyzed and coded to identify emergent themes.Findings - This study shows that the image search process still presents difficulties and frustration from the image searchers’ point of view. The findings established that keyword search remains the main method compared with the use of predefined categories or searching with a similar image or a drawing. They emphasized the importance of several functionalities as an integral part of the image search process and revealed the importance of being able to search for images with words extracted from more than one language.Originality/value - The main contribution of this exploratory study is to provide an understanding of how real users search for images. Combined with the exploration of best practices for image retrieval, the analysis of real image searchers’ behaviours provides the foundation for the initial organization of the search interface model we will develop in the ultimate stage of the research project.
Purpose - This paper presents the results of the second stage of a research project aiming to develop a bilingual interface for the retrieval of digital images. The main objective of this phase was to investigate the roles and usefulness of search characteristics and functionalities for image retrieval in a bilingual context.Design/methodology/approach - A bilingual (English and French) questionnaire containing closed and open questions was developed and administered to two groups of participants: 20 English-speaking and 20 French-speaking respondents. The quantitative data was analyzed according to statistical methods while the content of the open-ended questions was analyzed and coded to identify emergent themes.Findings - This study shows that the image search process still presents difficulties and frustration from the image searchers’ point of view. The findings established that keyword search remains the main method compared with the use of predefined categories or searching with a similar image or a drawing. They emphasized the importance of several functionalities as an integral part of the image search process and revealed the importance of being able to search for images with words extracted from more than one language.Originality/value - The main contribution of this exploratory study is to provide an understanding of how real users search for images. Combined with the exploration of best practices for image retrieval, the analysis of real image searchers’ behaviours provides the foundation for the initial organization of the search interface model we will develop in the ultimate stage of the research project.