{"id":65874,"date":"2018-04-24T10:29:51","date_gmt":"2018-04-24T10:29:51","guid":{"rendered":"http:\/\/www.kriativ-tech.com\/?p=65874"},"modified":"2018-07-24T15:08:31","modified_gmt":"2018-07-24T15:08:31","slug":"visualizacao-de-informacao-para-a-descoberta-de-padroes-pessoais","status":"publish","type":"post","link":"https:\/\/www.kriativ-tech.com\/?p=65874","title":{"rendered":"Visualiza\u00e7\u00e3o de Informa\u00e7\u00e3o para a Descoberta de Padr\u00f5es Pessoais"},"content":{"rendered":"

[vc_row][vc_column width=”1\/2″][vc_custom_heading heading_semantic=”p” text_size=”h5″ text_height=”fontheight-843833″ text_font=”font-213936″]Kriativ-tech
\nVolume 1, Issue 1, March 2018, Pages: xxx
\nReceived: Nov. 28, 2017;<\/p>\n

Accepted: Dec. 8, 2017;<\/p>\n

Published: Feb. 24, 2018[\/vc_custom_heading][vc_custom_heading heading_semantic=”h3″ text_size=”h3″]Authors[\/vc_custom_heading][vc_custom_heading heading_semantic=”p” text_size=”h5″]Sandra Pereira Gama,<\/strong>\u00a0ISTEC \u2013 Departamento de Estudos e Investiga\u00e7\u00e3o em Tecnologias de Informa\u00e7\u00e3o e Sociedade,\u00a0Professora Adjunta do ISTEC[\/vc_custom_heading][\/vc_column][vc_column width=”1\/2″][vc_custom_heading]Media[\/vc_custom_heading][vc_button button_color=”accent” border_animation=”btn-ripple-out” border_width=”0″ link=”url:http%3A%2F%2Fwww.kriativ-tech.com%2Fwp-content%2Fuploads%2F2018%2F02%2FSANDRA-GAMA.pdf||target:%20_blank|”]PDF[\/vc_button][vc_custom_heading heading_semantic=”h4″ text_size=”h4″]To cite this article[\/vc_custom_heading][vc_custom_heading heading_semantic=”p” text_size=”h6″]Sandra Gama,\u00a0Visualiza\u00e7\u00e3o de Informa\u00e7\u00e3o para a Descoberta de Padr\u00f5es Pessoais<\/p>\n

DOI:<\/strong>\u00a010.31112\/kriativ-tech-2018-01-07[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row row_height_percent=”0″ overlay_alpha=”50″ gutter_size=”1″ column_width_percent=”100″ shift_y=”0″ z_index=”0″][vc_column column_width_percent=”100″ override_padding=”yes” column_padding=”1″ overlay_alpha=”50″ gutter_size=”0″ medium_width=”0″ mobile_width=”0″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ width=”1\/1″][vc_custom_heading heading_semantic=”h3″ text_size=”h3″]Abstract[\/vc_custom_heading][vc_custom_heading heading_semantic=”p” text_size=”h5″ text_height=”fontheight-843833″ text_font=”font-213936″]Nowadays, people have access to a variety of devices and applications to mediate their social interactions in any time and place. As a result, large amounts of information are generated which are not only heterogeneous but also dispersed, making it difficult to manage and analyze. Information Visualization presents a high potential to decrease cognitive load associated with data interpretation and to agglomerate information in a homogeneous way. Hence, it may potentially provide a comprehensive overview of such information, allowing users to understand their own patterns of social interaction in this personally relevant social context<\/span>. <\/span>This article introduces Trend Visualization (TreVi), which uses a variety of Information Visualization techniques to provide users with a unified view of their socially-generated personal information. It allows users to progressively explore the data in coherent and easily understandable items, allowing to maintain the context, while revealing personally relevant patterns.<\/span>[\/vc_custom_heading][vc_empty_space empty_h=”2″][vc_custom_heading heading_semantic=”h3″ text_size=”h3″]Keywords[\/vc_custom_heading][vc_custom_heading heading_semantic=”p” text_size=”h5″]Information Visualization, Social Personal Information, User Interaction.<\/span>[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row][vc_column column_width_percent=”100″ overlay_alpha=”50″ gutter_size=”0″ medium_width=”0″ mobile_width=”0″ shift_x=”0″ shift_y=”0″ shift_y_down=”0″ z_index=”0″ width=”1\/1″][vc_custom_heading heading_semantic=”h3″ text_size=”h3″]References[\/vc_custom_heading][vc_custom_heading heading_semantic=”p” text_size=”h5″ text_height=”fontheight-843833″ text_font=”font-213936″]<\/p>\n

[1] Dix, A. Finlay, J, Abowd, G, Beale, R. (1998). Human-Computer Interaction (2nd Edition). Prentice Hall.<\/p>\n

[2] Andrews, K., Evaluating Information Visualizations. Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization. ACM.<\/p>\n

[3] Chen, C. (2006). Information Visualization: Beyond the Horizon. Springer.<\/p>\n

[4] Shneiderman<\/a>, B., Plaisant, C. (2006) Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies. Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization. ACM.<\/p>\n

[5] Spence, R. (2007). Information Visualization – Design for Interaction (2nd Edition). Pearson Education Limited.<\/p>\n

[6] Mazza., R. (2009). Introduction to Information Visualization. Morgan Kaufmann<\/p>\n

 <\/p>\n

[7] Preece, J., Rogers, Y., Sharp, H. (2011). Interaction Design: Beyond Human-Computer Interaction (3rd Edition).\u00a0John Wiley & Sons.<\/p>\n

[8] Fonseca, M.J., Campos, P., Gon\u00e7alves, D. (2012). Introdu\u00e7\u00e3o ao Design de Interfaces. FCA.<\/p>\n

[9] Ware, C. (2012). Information Visualization: Perception for Design. Elsevier.<\/p>\n

[10] Gama, S., Gon\u00e7alves, D. (2014). Studying the Perception of Color Components’ Relative Amount in Blended Colors.\u00a0\u00a0In Proceedings NordiCHI 2014, the 8th Nordic Conference on Human-Computer Interaction. Helsinki, Finland. ACM Press.<\/p>\n

[11] Gama, S., Gon\u00e7alves, D. (2014). Studying Color Blending for Data Visualization.\u00a0 In Proceedings EuroVis 2014. pp 121-125. Swansea, Wales, UK. Eurographics.<\/p>\n

[12] Gama, S., Gon\u00e7alves, D. (2014). Guidelines for Using Color Blending in Data Visualization. In AVI ’14: International Working Conference on Advanced Visual Interfaces. pp 363-364. Como, Italy. ACM Press.<\/p>\n

[13] Gama, S., Gon\u00e7alves, D. (2014). Studying Color Blending for Visualizing Social Artifacts. In Proceedings EPCG2014 – 21 Encontro Portugu\u00eas de Computa\u00e7\u00e3o Gr\u00e1fica. Leiria, Portugal.<\/p>\n

[14] Munzner, T. (2014). Visualization Design and Analysis: Abstractions, Principles, and Methods. AK Peters<\/p>\n

[\/vc_custom_heading][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

Author: Sandra Gama
\nDOI: 10.31112\/kriativ-tech-2018-01-07<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[66],"tags":[],"_links":{"self":[{"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=\/wp\/v2\/posts\/65874"}],"collection":[{"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=65874"}],"version-history":[{"count":4,"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=\/wp\/v2\/posts\/65874\/revisions"}],"predecessor-version":[{"id":65961,"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=\/wp\/v2\/posts\/65874\/revisions\/65961"}],"wp:attachment":[{"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=65874"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=65874"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kriativ-tech.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=65874"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}