Visual Research, Visual Data
Sheri R. Klein, Faith Agostinone-Wilson · Palgrave Macmillan eBooks · 2014
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About 10,000 papers for “Visual research”
Sheri R. Klein, Faith Agostinone-Wilson · Palgrave Macmillan eBooks · 2014
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2016
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2018
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Jerome W. Crowder, Jonathan S. Marion · 2023
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The SAGE Encyclopedia of Qualitative Research Methods · 2008
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2025
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Karen Wells · 2024
This chapter describes the use of visual methods to visualise and theorise the connections between children/childhood and economic development. Visual methods refer to three related, yet distinct epistemologies and ontologies which in turn generate different methods of data generation and data analysis: the use of images to elicit talk; the analysis of visual communication; and visual ethnography.
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Russ Bestley, Paul L. McNeil · Bloomsbury Publishing Plc eBooks · 2022
<JATS1:p>Packed with more than 200 colour illustrations, Visual Research explores a range of research methods that can be used by graphic designers and visual communicators in the development of clear and purposeful design solutions. The book introduces key terms and theories that underlie design research; examining the importance of visual grammar and design literacy, audience, communication theory and semiotics.</JATS1:p> <JATS1:p>Each chapter features case studies, many new to this edition, that demonstrate how the use of research methods can form the basis of effective visual communication and design problem solving, eschewing end-product analysis for a discussion of the way research feeds into the design process.</JATS1:p> <JATS1:p>With new case studies from Matt Cooke, Colette Sadlier and many others, this new edition also brings together all of the 'Key Concept' features and content from previous editions into their own distinct chapter, making it easier for readers to discover design-led tools and information design methods, for both print and on-screen design.</JATS1:p>
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2010
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Branch, James · EdShare Southampton (University of Southampton)
Understand representation and basic semiotic theory i.e. signs, meaning and myth \nUse visual analysis to decode an image
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Emmanuel Edward Te · 2016
A Subject Guide for the School of Visual Development Resources related to research practices in the field of [department]
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Wright, C, Darko, N, Standen, P et al. · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) · 2010
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2018
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Luc Pauwels · The Blackwell Encyclopedia of Sociology · 2016
Abstract Visual research methods in social science exemplify the view that valid and unique insights into culture and society can be acquired by carefully observing, analyzing, and theorizing its visual dimensions and manifestations: the visible behavior of people and aspects of material culture. This array of methods ranges from analyzing existing or “found” visual data from a variety of sources to the production of visual materials by the researcher (as intermediate data or as end products to communicate results). However, visual methods also include approaches that try to more actively involve the field under study through using visual materials in interview situations to trigger partly unanticipated factual information and projective comments (visual elicitation), or to prompt the subjects of research to become producers of their own visual data and views (respondent‐generated visuals) for scholarly or activist purposes. Visual approaches in social science do not just provide tools to collect or produce visual data but also embody opportunities to communicate insight into culture and society in novel ways (through data visualizations, visual essays, films, and multimedia products).
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RWTH Publications (RWTH Aachen)
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Douglas Harper, Karijn Kakebeeke · Visual Sociology · 2023
The chapter focuses on two common forms of visual research collaboration, photo elicitation (PE) and photovoice (PV). The author has extensive experience with PE and draws on examples of his published work to discuss pros and cons of the method. In short excerpts from studies of a small mechanic’s shop and an early stage of the mechanization of dairy farming he shows how conversations emerge between researcher and the researched individual from close reading of photos either made by the researcher or found in archives. For an examination of PV the author interviews a Dutch PV researcher with years of experience working both in the developing world and in her home country. Reflecting on several studies, the author and expert discuss PV used in on-site program evaluation and as in-depth study of the immigrant experience in Holland. The chapter also briefly reviews new forms of visual and collaborative research, including participatory filmmaking, mapmaking, curating museum exhibitions and drawing. One of the author’s overall conclusions is that participatory visual methods are among the most innovative visual methods currently in use.
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Wu, Ruifan · CSUN ScholarWorks (California State University, Northridge) · 2018
machine learning is an idea that feeding data to the machine model and it builds it own logic based on the data, and thus is able to generate results that approximate the aimed result. In this visual preference research, the goal is to train a machine model that can recognize people's faces. The model is named ResNet50, which is a Deep Convolutional Network model that is used to perform image classification task. The dataset includes 5500 people's face images that have a score of 1 through 5 of how attractive they are. Through using python, the dataset is preprocessed and the machine model is feed with those images. After 30 epoch of training and 200 times of validation set, the ResNet50 is able to score human face that closely approximates the scores of images were tagged.
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Iliana Ortega‐Alcázar · Elsevier eBooks · 2012
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Bonnie Pang · 2023
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Patricia A. L. Ong · 2024
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