{"id":561297,"date":"2020-02-22T16:50:07","date_gmt":"2019-01-15T17:08:39","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=561297"},"modified":"2022-10-18T15:12:07","modified_gmt":"2022-10-18T22:12:07","slug":"strategies-for-auditory-display-of-social-media","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/strategies-for-auditory-display-of-social-media\/","title":{"rendered":"Strategies for Auditory Display of Social Media"},"content":{"rendered":"
Social media is an overwhelmingly visual medium, and we ask the simple question: How can the data and images of social media posts be transformed into something as meaningful and vivid in the auditory sense? Such a design would be useful for eyes-free browsing and could enhance the existing visual media. Our strategy first uses artificial intelligence systems to transform low-level input data into high-level sociocultural features. These features are then conveyed using a multifactored temporal design that uses speech, sonification, auditory scenes, and music.<\/p>\n","protected":false},"excerpt":{"rendered":"
Social media is an overwhelmingly visual medium, and we ask the simple question: How can the data and images of social media posts be transformed into something as meaningful and vivid in the auditory sense? Such a design would be useful for eyes-free browsing and could enhance the existing visual media. Our strategy first uses […]<\/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":[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-561297","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2019-1-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Ergonomics in Design","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","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":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/01\/WintersED2019.pdf","id":"561300","title":"wintersed2019","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":561300,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/01\/WintersED2019.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Mike Winters","user_id":40621,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Mike Winters"},{"type":"user_nicename","value":"Neel Joshi","user_id":33073,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Neel Joshi"},{"type":"user_nicename","value":"Ed Cutrell","user_id":31490,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ed Cutrell"},{"type":"user_nicename","value":"Meredith Ringel Morris","user_id":32884,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Meredith Ringel Morris"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[283244,371909,694407],"msr_project":[638784],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":638784,"post_title":"Image Accessibility","post_name":"image-accessibility","post_type":"msr-project","post_date":"2020-02-25 16:46:03","post_modified":"2020-09-28 14:53:07","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/image-accessibility\/","post_excerpt":"Digital imagery pervades modern life. More than a billion images per day are produced and uploaded to social media sites, and we also encounter digital images within websites, apps, digital documents, and eBooks. Engaging with digital imagery is part of the fabric of participation in contemporary society, including education, the professions, e-commerce, civic participation , entertainment, and social interactions. However, most digital images remain inaccessible to the 39 million people worldwide who are blind. 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