Perception of Meta-Information Representation: A Psychophysical Approach

Autor:	Jonathan Pfautz, Michael Jenkins, Allen L. Nagy, Emilie M. Roth, Ann M. Bisantz, Michael Farry, Nicholas Fortenbery, Jean-Francois D’Arcy, Gina Thomas
Rok vydání:	2012
Předmět:	Medical Terminology Engineering drawing Human–computer interaction Computer science Perception media_common.quotation_subject Information representation Psychophysical scaling Saturation (chemistry) Empirical evidence Medical Assisting and Transcription media_common Visualization
Zdroj:	Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 56:218-222
ISSN:	1071-1813 2169-5067
DOI:	10.1177/1071181312561053
Popis:	Previous research has identified many effective methods to visualize different types of meta-information, or information qualifiers; however, these methods are often incorporated without understanding how the graphical codes are perceived and how the encoded information is interpreted by display users. This results in display designers selecting graphical codes to represent meta-information without empirical evidence to determine the appropriateness of these selections. To help address this lack of guidance, this paper presents a systematic study of how people perceive two graphical codes (saturation and opacity) and relate those codes to different types of meta-information. Results were generated using psychophysical scaling methods, and provide visualization designers with a means to more appropriately design meta-information representations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::486a567a780a20e321e307e68600138e https://doi.org/10.1177/1071181312561053 Zobrazit plný text záznamu