{"id":365819,"date":"2017-02-22T20:39:00","date_gmt":"2017-02-23T04:39:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=365819"},"modified":"2018-10-16T20:07:36","modified_gmt":"2018-10-17T03:07:36","slug":"expanding-research-methods-realistic-understanding-personal-visualization","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/expanding-research-methods-realistic-understanding-personal-visualization\/","title":{"rendered":"Expanding Research Methods for a Realistic Understanding of Personal Visualization"},"content":{"rendered":"<p>Personal visualizations have the great potential to provide the benefits of visualizations to everyone in their everyday lives. Their diverse goals combined with the personal data they contain and the contexts in which they are being used, however, make their evaluation particularly challenging and call for a wider perspective on empirical approaches. We need to devise new methods and adapt existing methods from other fields to account for the specific goals and challenges in this emerging research area. An open-minded approach to empirical methods may help us to gain a more realistic understanding of personal visualizations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Personal visualizations have the great potential to provide the benefits of visualizations to everyone in their everyday lives. Their diverse goals combined with the personal data they contain and the contexts in which they are being used, however, make their evaluation particularly challenging and call for a wider perspective on empirical approaches. We need 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":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","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":"2017-03-01","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":[13563,13554],"msr-publication-type":[193715],"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-365819","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":"IEEE","msr_edition":"","msr_affiliation":"","msr_published_date":"2017-03-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","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":"368243","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"ResearchMethods4PersonalVis-CGA","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/02\/ResearchMethods4PersonalVis-CGA.pdf","id":368243,"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":"Alice Thudt","user_id":0,"rest_url":false},{"type":"user_nicename","value":"bongshin","user_id":31276,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=bongshin"},{"type":"text","value":"Eun Kyoung Choe","user_id":0,"rest_url":false},{"type":"text","value":"Sheelagh Carpendale","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[371909],"msr_project":[365810],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":365810,"post_title":"Human-Data Interaction for Self-Monitoring","post_name":"human-data-interaction","post_type":"msr-project","post_date":"2017-02-24 09:52:42","post_modified":"2023-02-07 09:16:18","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/human-data-interaction\/","post_excerpt":"Empowering people to improve their lives by fully leveraging the data about themselves &nbsp; In recent years, we have witnessed rapid advancements in consumer health technologies. People are also increasingly tracking personal health data outside the clinic using wearable sensing devices and mobile health applications. For example, we have observed the rise of the Quantified Self (QS) movement, which aims to improve health, maximize work performance, and find new life experiences through self-tracking. 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