Image use within the work task model: Images as information and illustration

McCay‐Peet, Lori; Toms, Elaine G.

doi:10.1002/asi.21202

Cited by 36 publications

(44 citation statements)

References 46 publications

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“…Applying these categories to Fidel's (1997) data-object image continuum, they report that 53.6 percent of image use in their study was object (illustration) oriented, 24 percent was data (information) related, and 21.4 percent was both. These figures, reflecting Fidel's image use continuum, support the findings of the study by McCay-Peet and Toms (2009).…”

Section: Related Studiessupporting

confidence: 88%

A framework of image use among archaeologists, architects, art historians and artists

Beaudoin

2014

Journal of Documentation

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Purpose -The purpose of this paper is to report on a research study which examined how and why images were used by professional image users to inform the design and development of information systems and services. Design/methodology/approach -A total of 20 participants in four user groups, archaeologist, architect, art historian and artist, took part in this qualitative research study. Data was collected through a survey and one-on-one semi-structured interview and data analysis was completed using case-ordered displays and the constant comparative method. Findings -The findings revealed that image use varied according to profession. Archaeologists and art historians identified using images within their lecture presentations, and for research and publications. While architects and artists noted using images for research and design creation, their work products differed. Several reasons why these professionals used images in their work were identified: knowledge, conceptual model, inspiration, cognitive recall, critical thinking, emotion, engagement, marketing, proof, social connection, translation, and trust. Research limitations/implications -Study limitations include the small number of user groups, and methods dependent on participants' abilities to recall and clearly articulate past activities.Originality/value -The study clarifies the varied roles visual information plays in the work of archaeologists, architects, art historians and artists. As the paper reveals how and why images are used, its contents are particularly useful for systems designers, librarians and other individuals who support image users.

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Section: Related Studiessupporting

confidence: 88%

A framework of image use among archaeologists, architects, art historians and artists

Beaudoin

2014

Journal of Documentation

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“…More recently, as an important way of investigating users' image information needs, contextual factors affecting image needs and search behaviours, such as image use, are now being examined [1,[3][4][5]. In this sense, this study aims to examine the general users' needs for images in context of image uses for non-domain-specific collections.…”

Section: Image Needs In Context Of Usesmentioning

confidence: 99%

“…Although there have not been any clear definitions and constituent elements regarding the context of the images [3][4][5], the context of the users and their information needs is a significant factor. In particular, in various contexts, image use has been recognized as one of the crucial elements in realizing the image needs of users [1]. As Fidel [6] pointed out, unlike textual documents, images can be used in diverse ways (e.g.…”

Section: Introductionmentioning

confidence: 99%

Image needs in the context of image use: An exploratory study

Chung

Yoon

2011

Journal of Information Science

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As a way of understanding the image needs of users, researchers in the image retrieval field have investigated contextual factors affecting image needs and search behaviours. In terms of both general users' groups and non-domain-specific collections on the web, the purpose of this study is to investigate how image needs are interwoven with intended uses which are in varying degrees of image use purposes. Thus, the image-seeking questions posted in a social Q&A service were analysed for their content. The findings of this study indicate that image uses as sources of objects are found more frequently than image uses as sources of data. Moreover, in order to analyse a more detailed underlying structure of image needs and uses, image attributes were examined in terms of three categories including semantics (e.g. ofness and aboutness), non-visual features (e.g. bibliographic information) and syntactic features (e.g. focal point). This study indicates that abstract attributes and specific attributes were distinctively recognized depending on image uses, even though proportion generic attributes were found more frequently. Users are likely to seek images using abstract attributes when they intend to use images as sources of object and specific attributes when using the images as sources of data. More importantly, among the contextual attributes, a similarity component was found to be a universal attribute that was used in all seven image uses, while the attributes in the non-visual and syntactic categories were not frequently used. The findings of this study can be applied to image retrieval systems in terms of improving image indexing practices and expanding search interfaces.

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“…They have shown that images may have several types of functions in different contexts, such as illustrative, informative, persuasive, attention-related (e.g., attracting and holding attention), aesthetic (e.g., adorning something), and affective functions (e.g., establishing a mood). Further work has been conducted for example on the effects of work task on the use of images as illustration or information (McCay-Peet & Toms, 2009). In categorization, each image is assigned to a group of images, creating a link between these images.…”

Section: Attributes Beyond Contentmentioning

confidence: 99%

Development and evaluation of a multifaceted magazine image categorization model

Westman

Laine-Hernandez

Oittinen

2010

J. Am. Soc. Inf. Sci.

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The development of visual retrieval methods requires information about user interaction with images, including their description and categorization. This article presents the development of a categorization model for magazine images based on two user studies. In Study 1, we elicited 10 main classes of magazine image categorization criteria through sorting tasks with nonexpert and expert users (N = 30). Multivariate methods, namely, multidimensional scaling and hierarchical clustering, were used to analyze similarity data. Content analysis of category names gave rise to classes that were synthesized into a categorization framework. The framework was evaluated in Study 2 by experts (N = 24) who categorized another set of images consistent with the framework and found it to be useful in the task. Based on the evaluation study the framework was solidified into a model for categorizing magazine imagery. Connections between classes were analyzed both from the original sorting data and from the evaluation study and included into the final model. The model is a practical categorization tool that may be used in workplaces, such as magazine editorial offices. It may also serve to guide the development of computational methods for image understanding, selection of concepts for automatic detection, and approaches to support browsing and exploratory image search.

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Image use within the work task model: Images as information and illustration

Cited by 36 publications

References 46 publications

A framework of image use among archaeologists, architects, art historians and artists

A framework of image use among archaeologists, architects, art historians and artists

Image needs in the context of image use: An exploratory study

Development and evaluation of a multifaceted magazine image categorization model

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