{"id":1077624,"date":"2024-08-19T06:35:03","date_gmt":"2024-08-19T13:35:03","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=1077624"},"modified":"2025-06-19T06:59:46","modified_gmt":"2025-06-19T13:59:46","slug":"productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/productivity-implications-for-generative-ai-role-based-prompts-as-a-networked-hermeneutic\/","title":{"rendered":"Commentary: Productivity implications for generative AI role-based prompts as a networked hermeneutic"},"content":{"rendered":"<p>Commentary for <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/17504813241267068\">Membership categorisation, sociological description and role prompt engineering with ChatGPT &#8211; William Housley, Patrik Dahl, 2024<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p>As <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/17504813241267068\">Housley and Dahl (2024)<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> demonstrate, role-based prompts for Generative AI (GenAI) systems are based on vernacular resources of membership categorization and action description, representing a networked hermeneutic of lay and professional sociology. As a Microsoft Human-Computer Interaction researcher, I see three implications for designing GenAI systems for productivity.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Commentary for Membership categorisation, sociological description and role prompt engineering with ChatGPT &#8211; William Housley, Patrik Dahl, 2024 As Housley and Dahl (2024) demonstrate, role-based prompts for Generative AI (GenAI) systems are based on vernacular resources of membership categorization and action description, representing a networked hermeneutic of lay and professional sociology. As a Microsoft Human-Computer [&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":[{"type":"user_nicename","value":"Sean Rintel","user_id":"33579"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"Discourse & Communication","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"[OnlineFirst reference] Rintel, S. (2024). Productivity implications for generative AI role-based prompts as a networked hermeneutic. Discourse & Communication, 0(0). https:\/\/doi.org\/10.1177\/17504813241271444","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":"2024-8-1","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":null,"footnotes":""},"msr-research-highlight":[],"research-area":[13556,13554,13559],"msr-publication-type":[193715],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[250612],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1077624","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-research-area-social-sciences","msr-locale-en_us","msr-field-of-study-social-science"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2024-8-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Discourse & Communication","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\/2024\/08\/rintel-2024-Commentary_HousleyDahl2024.pdf","id":"1077627","title":"rintel-2024-commentary_housleydahl2024","label_id":"243132","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"https:\/\/doi.org\/10.1177\/17504813241271444","label_id":"243106","label":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":[{"id":1077627,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/rintel-2024-Commentary_HousleyDahl2024.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Sean Rintel","user_id":33579,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Sean Rintel"}],"msr_impact_theme":[],"msr_research_lab":[199561],"msr_event":[],"msr_group":[1142579],"msr_project":[1053711,717493],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":1053711,"post_title":"Tools for Thought","post_name":"tools-for-thought","post_type":"msr-project","post_date":"2024-07-03 05:21:39","post_modified":"2026-03-24 16:28:04","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/tools-for-thought\/","post_excerpt":"Better thinking through AIA People-Centric AI Project \"What would you rather have: a tool that thinks for you, or a tool that makes you think?\" Senior Researcher Advait Sarkar presented at TEDAI (opens in new tab) in Vienna on September 26th 2025. \u00a9 TEDAI Vienna \/ Robert Leslie Many AI tools focus on solving specific tasks like content generation or process automation. Though useful and powerful, these systems may affect how we think, learn, build&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1053711"}]}},{"ID":717493,"post_title":"The New Future of Work","post_name":"the-new-future-of-work","post_type":"msr-project","post_date":"2021-01-25 07:40:51","post_modified":"2026-02-23 14:40:27","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/the-new-future-of-work\/","post_excerpt":"This cross-company initiative is dedicated to creating solutions for a future of work that is meaningful, productive, and equitable. The focus has shifted from remote to hybrid to the role of artificial intelligence in changing work practices.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/717493"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/1077624","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/1077624\/revisions"}],"predecessor-version":[{"id":1077636,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/1077624\/revisions\/1077636"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1077624"}],"wp:term":[{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=1077624"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1077624"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=1077624"},{"taxonomy":"msr-publisher","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publisher?post=1077624"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=1077624"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1077624"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1077624"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=1077624"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=1077624"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=1077624"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1077624"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1077624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}