{"id":168343,"date":"2015-04-01T00:00:00","date_gmt":"2015-04-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/designing-engaging-data-in-communities\/"},"modified":"2018-10-16T20:16:08","modified_gmt":"2018-10-17T03:16:08","slug":"designing-engaging-data-in-communities","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/designing-engaging-data-in-communities\/","title":{"rendered":"Designing Engaging Data in Communities"},"content":{"rendered":"<p>Tim Regan, David Sweeney, John Helmes, Vasillis Vlachokyriakos, Si\u00e2n Lindley, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/ast.io\/about-alex-taylor\/\" target=\"_blank\">Alex S. Taylor<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (2015) <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/ast.io\/download\/2226\/designing-engaging-data-2015.pdf\" target=\"_blank\">Designing Engaging Data in Communities<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <em>CHI EA &#8217;15<\/em>, p. 271-274, New York, NY, USA: ACM<\/p>\n<div class=\"asset-content\">\n<blockquote><p>We present two sets of \u2018data technologies\u2019 that we have designed to collect and display local data, both derived from our engagement with a community. The first, Bullfrog, is a bespoke voting device. The second, a series of physical charts, respond to the increasing sophistication of data visualisations by making playful use of pie charts and bar graphs, reimagining them in mechanical forms that are compelling but easily readable.<\/p><\/blockquote>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tim Regan, David Sweeney, John Helmes, Vasillis Vlachokyriakos, Si\u00e2n Lindley, Alex S. Taylor (2015) Designing Engaging Data in Communities, CHI EA &#8217;15, p. 271-274, New York, NY, USA: ACM We present two sets of \u2018data technologies\u2019 that we have designed to collect and display local data, both derived from our engagement with a community. The [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13554,13559],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-168343","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-research-area-social-sciences","msr-locale-en_us"],"msr_publishername":"ACM - Association for Computing Machinery","msr_edition":"CHI EA '15, Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing 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