{"id":498272,"date":"2018-07-30T11:16:44","date_gmt":"2018-07-30T18:16:44","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=498272"},"modified":"2018-10-16T20:13:41","modified_gmt":"2018-10-17T03:13:41","slug":"arcadia-a-rapid-prototyping-platform-for-real-time-tangible-interfaces-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/arcadia-a-rapid-prototyping-platform-for-real-time-tangible-interfaces-2\/","title":{"rendered":"ARcadia: A Rapid Prototyping Platform for Real-time Tangible Interfaces"},"content":{"rendered":"<p>Paper-based fabrication techniques offer powerful opportunities to prototype new technological interfaces. Typically, paper-based interfaces are either static mockups or require integration with sensors to provide real-time interactivity. The latter can be challenging and expensive, requiring knowledge of electronics, programming, and sensing. But what if computer vision could be combined with prototyping domain-aware programming tools to support the rapid construction of interactive, paper-based tangible interfaces? We designed a toolkit called ARcadia that allows for rapid, low-cost prototyping of TUIs that only requires access to a webcam, a web browser, and paper. ARcadia brings paper prototypes to life through the use of marker based augmented reality (AR). Users create mappings between real-world tangible objects and different UI elements. After a crafting and programming phase, all subsequent interactions take place with the tangible objects. We evaluated ARcadia in a workshop with 120 teenage girls and found that tangible AR technologies can empower novice technology designers to rapidly construct and iterate on their ideas.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Paper-based fabrication techniques offer powerful opportunities to prototype new technological interfaces. Typically, paper-based interfaces are either static mockups or require integration with sensors to provide real-time interactivity. The latter can be challenging and expensive, requiring knowledge of electronics, programming, and sensing. But what if computer vision could be combined with prototyping domain-aware programming tools to [&hellip;]<\/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":"","msr-author-ordering":null,"msr_publishername":"ACM","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"CHI 2018","msr_editors":"","msr_how_published":"","msr_isbn":"978-1-4503-5620-6","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"409:1--409:8","msr_page_range_start":"409:01:00","msr_page_range_end":"409:08:00","msr_series":"","msr_volume":"","msr_copyright":"Copyright held by the owner\/author(s). Publication rights licensed to ACM.","msr_conference_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","msr_doi":"10.1145\/3173574.3173983","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2018-04-21","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13554],"msr-publication-type":[193716],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-498272","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"CHI 2018","msr_affiliation":"","msr_published_date":"2018-04-21","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"409:1--409:8","msr_chapter":"","msr_isbn":"978-1-4503-5620-6","msr_journal":"","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":"498278","msr_publicationurl":"","msr_doi":"10.1145\/3173574.3173983","msr_publication_uploader":[{"type":"file","title":"pn3450-kellyA-5b5f558b28f83","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2018\/07\/pn3450-kellyA-5b5f558b28f83.pdf","id":498278,"label_id":0},{"type":"doi","title":"10.1145\/3173574.3173983","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Annie Kelly","user_id":0,"rest_url":false},{"type":"text","value":"R. 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