{"id":1093152,"date":"2024-10-11T16:19:44","date_gmt":"2024-10-11T23:19:44","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=1093152"},"modified":"2024-10-11T16:22:48","modified_gmt":"2024-10-11T23:22:48","slug":"dreamgarden-a-designer-assistant-for-growing-games-from-a-single-prompt","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/dreamgarden-a-designer-assistant-for-growing-games-from-a-single-prompt\/","title":{"rendered":"DreamGarden: A Designer Assistant for Growing Games from a Single Prompt"},"content":{"rendered":"
Coding assistants are increasingly leveraged in game design, both generating code and making high-level plans. To what degree can these tools align with developer workflows, and what new modes of human-computer interaction can emerge from their use? We present DreamGarden, an AI system capable of assisting with the development of diverse game environments in Unreal Engine. At the core of our method is an LLM-driven planner, capable of breaking down a single, high-level prompt — a dream, memory, or imagined scenario provided by a human user — into a hierarchical action plan, which is then distributed across specialized submodules facilitating concrete implementation. This system is presented to the user as a garden of plans and actions, both growing independently and responding to user intervention via seed prompts, pruning, and feedback. Through a user study, we explore design implications of this system, charting courses for future work in semi-autonomous assistants and open-ended simulation design.<\/p>\n","protected":false},"excerpt":{"rendered":"
Coding assistants are increasingly leveraged in game design, both generating code and making high-level plans. To what degree can these tools align with developer workflows, and what new modes of human-computer interaction can emerge from their use? We present DreamGarden, an AI system capable of assisting with the development of diverse game environments in Unreal […]<\/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":[13556,13554],"msr-publication-type":[193726],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[246691],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1093152","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-field-of-study-computer-science"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2024-10-1","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":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/arxiv.org\/abs\/2410.01791","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Sam Earle","user_id":0,"rest_url":false},{"type":"text","value":"Samyak Parajuli","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Andrzej Banburski-Fahey","user_id":43299,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Andrzej Banburski-Fahey"}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[144931],"msr_project":[1030176],"publication":[],"video":[],"download":[],"msr_publication_type":"unpublished","related_content":{"projects":[{"ID":1030176,"post_title":"Speaking the World into Existence","post_name":"speaking-the-world-into-existence","post_type":"msr-project","post_date":"2024-05-01 12:41:29","post_modified":"2024-10-11 16:20:12","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/speaking-the-world-into-existence\/","post_excerpt":"AI co-creation has the potential to transform the way we interact with virtual worlds and bring about the early VR hopes of speaking shared environments into existence, allowing for novel modes of communicating ideas. The Speaking the world into existence research effort aims to apply the recent progress in large language models to prompt-based creation of interactive 3d scenes. 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