{"id":161310,"date":"2013-01-01T00:00:00","date_gmt":"2013-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/measuring-social-behaviour-as-an-indicator-of-experience\/"},"modified":"2018-10-16T22:05:21","modified_gmt":"2018-10-17T05:05:21","slug":"measuring-social-behaviour-as-an-indicator-of-experience","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/measuring-social-behaviour-as-an-indicator-of-experience\/","title":{"rendered":"Measuring social behaviour as an indicator of experience"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper explores and evaluates two techniques that measure aspects of social behaviour as an indicator of experience. The rationale driving the work is the idea that experience is entwined with social interaction and so, while experience itself is difficult to quantify, we might tap into it by measuring aspects of conversation that are related to it. Two techniques are considered as possible ways of doing this: (i) process measures of social behaviour derived from video analysis, and (ii) thin-slice ratings ascribed by na\u00efve judges. Regarding (i), process measures of conversational equality, freedom and number of turns are shown to be reliable, sensitive, and linked to unfolding experience. Regarding (ii), a Thin Slice Enjoyment Scale is developed and shown to be a reliable and less time-consuming, but also less sensitive, alternative to the process measures. Both methods are of interest to researchers and practitioners who would wish to assess user experience in a group context. Additionally, analysis of the process measures is of broader relevance to researchers who conduct quantitative analyses of talk.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper explores and evaluates two techniques that measure aspects of social behaviour as an indicator of experience. The rationale driving the work is the idea that experience is entwined with social interaction and so, while experience itself is difficult to quantify, we might tap into it by measuring aspects of conversation that are related [&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":"","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-161310","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"Taylor & Francis","msr_edition":"Behaviour and Information Technology","msr_affiliation":"","msr_published_date":"2013-01-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"968-925","msr_chapter":"","msr_isbn":"","msr_journal":"Behaviour and Information Technology","msr_volume":"32","msr_number":"10","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":"205660","msr_publicationurl":"","msr_doi":"10.1080\/0144929X.2011.582148","msr_publication_uploader":[{"type":"file","title":"LindleyMonk_BIT%20pre-print.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/LindleyMonk_BIT20pre-print.pdf","id":205660,"label_id":0},{"type":"doi","title":"10.1080\/0144929X.2011.582148","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":205660,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/LindleyMonk_BIT20pre-print.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"sianl","user_id":33651,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=sianl"},{"type":"text","value":"Andrew F. 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