The visualization research community can and should reach broader audiences beyond data-savvy groups of people, because these audiences could also greatly benefit from visual access to data. In this paper, we discuss four research topics\u2014personal data visualization, data visualization on mobile devices, inclusive data visualization, and multimodal interaction for data visualization\u2014that, individually and collaboratively, would help us reach broader audiences with data visualization, making data more accessible.<\/p>\n","protected":false},"excerpt":{"rendered":"
The visualization research community can and should reach broader audiences beyond data-savvy groups of people, because these audiences could also greatly benefit from visual access to data. In this paper, we discuss four research topics\u2014personal data visualization, data visualization on mobile devices, inclusive data visualization, and multimodal interaction for data visualization\u2014that, individually and collaboratively, would […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563,13554],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-650649","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2020-3-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"IEEE Computer Graphics and Applications","msr_volume":"40","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"2","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":0,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/04\/ReachingBroaderAudiences-CGA2020.pdf","id":"650652","title":"reachingbroaderaudiences-cga2020","label_id":"243109","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"10.1109\/MCG.2020.2968244","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":650652,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/04\/ReachingBroaderAudiences-CGA2020.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Bongshin Lee","user_id":31276,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Bongshin Lee"},{"type":"guest","value":"eun-kyoung-choe","user_id":365921,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=eun-kyoung-choe"},{"type":"text","value":"Petra Isenberg","user_id":0,"rest_url":false},{"type":"text","value":"Kim Marriott","user_id":0,"rest_url":false},{"type":"text","value":"John Stasko","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[371909,379814],"msr_project":[882351],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":882351,"post_title":"Inclusive Data Visualization","post_name":"inclusive-data-visualization","post_type":"msr-project","post_date":"2022-10-01 18:39:58","post_modified":"2022-10-01 18:40:00","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/inclusive-data-visualization\/","post_excerpt":"We now live in a data-driven world, where big data are generated and captured by computing devices and sensors on and around us. As critical decisions are made based on data, understanding data has become a core part of information work. Both experts and lay individuals have access to large amounts of data. Data visualization is a powerful means to understand, analyze, and explore data, as well as to identify and communicate data insights. 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