{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:39:25Z","timestamp":1776357565833,"version":"3.51.2"},"reference-count":71,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T00:00:00Z","timestamp":1772409600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Entertainment Computing"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.entcom.2026.101111","type":"journal-article","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T20:39:56Z","timestamp":1772483996000},"page":"101111","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Fostering human\u2013AI collaboration in robotic dance creation through large language models"],"prefix":"10.1016","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1954-7271","authenticated-orcid":false,"given":"Allegra","family":"De Filippo","sequence":"first","affiliation":[]},{"given":"Michela","family":"Milano","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.entcom.2026.101111_b1","series-title":"A comprehensive overview of large language models","author":"Naveed","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b2","series-title":"An overview on language models: Recent developments and outlook","author":"Wei","year":"2023"},{"issue":"6650","key":"10.1016\/j.entcom.2026.101111_b3","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1126\/science.adh4451","article-title":"Art and the science of generative AI","volume":"380","author":"Epstein","year":"2023","journal-title":"Science"},{"key":"10.1016\/j.entcom.2026.101111_b4","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1613\/jair.1.15278","article-title":"Reinforcement learning for generative AI: state of the art, opportunities and open research challenges","volume":"79","author":"Franceschelli","year":"2024","journal-title":"J. Artificial Intelligence Res."},{"key":"10.1016\/j.entcom.2026.101111_b5","article-title":"Prompt engineering for ChatGPT: A quick guide to techniques, tips, and best practices","author":"Ekin","year":"2023","journal-title":"Authorea Prepr."},{"key":"10.1016\/j.entcom.2026.101111_b6","series-title":"Exploring prompt engineering with GPT language models for document-level machine translation: Insights and findings","first-page":"166","author":"Wu","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b7","first-page":"1","article-title":"On the creativity of large language models","author":"Franceschelli","year":"2024","journal-title":"AI & SOCIETY"},{"issue":"2","key":"10.1016\/j.entcom.2026.101111_b8","doi-asserted-by":"crossref","first-page":"81","DOI":"10.54097\/fcis.v2i2.4465","article-title":"The benefits and challenges of ChatGPT: An overview","volume":"2","author":"Deng","year":"2022","journal-title":"Front. Comput. Intell. Syst."},{"key":"10.1016\/j.entcom.2026.101111_b9","series-title":"Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals","first-page":"1","author":"Mirowski","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b10","series-title":"Towards symbiotic creativity: A methodological approach to compare human and AI robotic dance creations","first-page":"5806","author":"De Filippo","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b11","series-title":"2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES)","first-page":"1","article-title":"Automation using robots, machine learning, and artificial intelligence to enhance production and quality","author":"Sajja","year":"2024"},{"issue":"1","key":"10.1016\/j.entcom.2026.101111_b12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/01472526.2019.1575661","article-title":"Information technology and the arts: the evolution of computer choreography during the last half century","volume":"42","author":"Sagasti","year":"2019","journal-title":"Dance Chron."},{"issue":"2251","key":"10.1016\/j.entcom.2026.101111_b13","doi-asserted-by":"crossref","DOI":"10.1098\/rspa.2021.0071","article-title":"An extensive review of computational dance automation techniques and applications","volume":"477","author":"Joshi","year":"2021","journal-title":"Proc. R. Soc. A"},{"issue":"4","key":"10.1016\/j.entcom.2026.101111_b14","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1109\/MRA.2015.2415048","article-title":"Dancing humanoid robots: Systematic use of osid to compute dynamically consistent movements following a motion capture pattern","volume":"22","author":"Ramos","year":"2015","journal-title":"IEEE Robot. Autom. Mag."},{"key":"10.1016\/j.entcom.2026.101111_b15","series-title":"Concept and construction of a dance robot system","first-page":"161","author":"Shinozaki","year":"2007"},{"key":"10.1016\/j.entcom.2026.101111_b16","series-title":"Construction and evaluation of a robot dance system","first-page":"83","author":"Shinozaki","year":"2008"},{"issue":"2","key":"10.1016\/j.entcom.2026.101111_b17","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/MIS.2008.22","article-title":"Cheek to chip: Dancing robots and AI\u2019s future","volume":"23","author":"Aucouturier","year":"2008","journal-title":"IEEE Intell. Syst."},{"key":"10.1016\/j.entcom.2026.101111_b18","article-title":"DanXe: An extended artificial intelligence framework to analyze and promote dance heritage","volume":"33","author":"Stacchio","year":"2024","journal-title":"Digit. Appl. Archaeol. Cult. Herit."},{"issue":"8","key":"10.1016\/j.entcom.2026.101111_b19","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.11591\/telkomnika.v10i8.1327","article-title":"Empiric evaluation of robot dancing framework based","volume":"10","author":"Oliveira","year":"2012","journal-title":"TELKOMNIKA"},{"key":"10.1016\/j.entcom.2026.101111_b20","series-title":"Do you like dancing robots? AI can tell you why","first-page":"45","author":"De Filippo","year":"2022"},{"issue":"2s","key":"10.1016\/j.entcom.2026.101111_b21","first-page":"1","article-title":"Artificial intelligence, artists, and art: attitudes toward artwork produced by humans vs. artificial intelligence","volume":"15","author":"Hong","year":"2019","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. (TOMM)"},{"key":"10.1016\/j.entcom.2026.101111_b22","series-title":"Large language models for human-AI co-creation of robotic dance performances","first-page":"7627","author":"De Filippo","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2023.102372","article-title":"Generative AI: Here to stay, but for good?","volume":"75","author":"S\u00e6tra","year":"2023","journal-title":"Technol. Soc."},{"key":"10.1016\/j.entcom.2026.101111_b24","series-title":"Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration","first-page":"277","author":"Fiona","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b25","series-title":"Personality traits in large language models","author":"Serapio-Garc\u00eda","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b26","series-title":"Large language models and cognitive science: A comprehensive review of similarities, differences, and challenges","author":"Niu","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b27","series-title":"Large language models: A survey","author":"Minaee","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b28","series-title":"A prompt pattern catalog to enhance prompt engineering with chatgpt","author":"White","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b29","series-title":"Open-domain question answering","first-page":"34","author":"Chen","year":"2020"},{"key":"10.1016\/j.entcom.2026.101111_b30","series-title":"The power of scale for parameter-efficient prompt tuning","author":"Lester","year":"2021"},{"key":"10.1016\/j.entcom.2026.101111_b31","first-page":"22199","article-title":"Large language models are zero-shot reasoners","volume":"35","author":"Kojima","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.entcom.2026.101111_b32","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109199","article-title":"HADA: An automated tool for hardware dimensioning of AI applications","volume":"251","author":"De Filippo","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.entcom.2026.101111_b33","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.aiopen.2021.08.002","article-title":"Pre-trained models: Past, present and future","volume":"2","author":"Han","year":"2021","journal-title":"AI Open"},{"key":"10.1016\/j.entcom.2026.101111_b34","series-title":"How to tame your anticipatory algorithm","first-page":"1071","author":"De Filippo","year":"2019"},{"key":"10.1016\/j.entcom.2026.101111_b35","series-title":"Creativity support in the age of large language models: An empirical study involving professional writers","first-page":"132","author":"Chakrabarty","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b36","series-title":"Advances in Neural Information Processing Systems","first-page":"26135","article-title":"Free-bloom: Zero-shot text-to-video generator with LLM director and ldm animator","volume":"36","author":"Huang","year":"2023"},{"issue":"CSCW1","key":"10.1016\/j.entcom.2026.101111_b37","doi-asserted-by":"crossref","DOI":"10.1145\/3637361","article-title":"\u201cIt felt like having a second mind\u201d: Investigating human-ai co-creativity in prewriting with large language models","volume":"8","author":"Wan","year":"2024","journal-title":"Proc. ACM Hum.-Comput. Interact."},{"key":"10.1016\/j.entcom.2026.101111_b38","series-title":"Prompt Engineering Guide","author":"Saravia","year":"2022"},{"key":"10.1016\/j.entcom.2026.101111_b39","series-title":"Art or artifice? Large language models and the false promise of creativity","author":"Chakrabarty","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b40","series-title":"Exploring the supportive role of artificial intelligence in participatory design: a systematic review","first-page":"37","author":"van den Broek","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b41","series-title":"AI song contest: Human-AI co-creation in songwriting","author":"Huang","year":"2020"},{"key":"10.1016\/j.entcom.2026.101111_b42","series-title":"MusiComb: a sample-based approach to music generation through constraints","first-page":"194","author":"Giuliani","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b43","series-title":"Towards Artificial Musicians: Modeling Style for Music Composition, Performance, and Synthesis via Machine Learning","author":"Dai","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b44","series-title":"Shaping human-AI collaboration: Varied scaffolding levels in co-writing with language models","first-page":"1","author":"Dhillon","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b45","series-title":"DiaryMate: Understanding user perceptions and experience in human-ai collaboration for personal journaling","first-page":"1","author":"Kim","year":"2024"},{"key":"10.1016\/j.entcom.2026.101111_b46","doi-asserted-by":"crossref","DOI":"10.1016\/j.entcom.2025.100948","article-title":"Bring game characters to the social space: Developing storytelling community AI agents driven by LLMs","author":"Sun","year":"2025","journal-title":"Entertain. Comput."},{"key":"10.1016\/j.entcom.2026.101111_b47","series-title":"Entertainment Computing\u2013ICEC 2025: 24th IFIP TC 14 International Conference, Tokyo, Japan, August 27\u201330, 2025, Proceedings","first-page":"151","article-title":"Initializing interactive treasure hunts in cultural heritage sites: An LLM-based","author":"Guti\u00e9rrez-S\u00e1nchez","year":"2025"},{"key":"10.1016\/j.entcom.2026.101111_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.entcom.2024.100822","article-title":"Application of digital media entertainment technology based on soft computing in immersive experience of remote piano teaching","volume":"52","author":"Wang","year":"2025","journal-title":"Entertain. Comput.","ISSN":"https:\/\/id.crossref.org\/issn\/1875-9521","issn-type":"print"},{"key":"10.1016\/j.entcom.2026.101111_b49","doi-asserted-by":"crossref","first-page":"193335","DOI":"10.1109\/ACCESS.2025.3631594","article-title":"How LLMs are shaping the future of virtual reality","volume":"13","author":"\u00d6zkaya","year":"2025","journal-title":"IEEE Access"},{"key":"10.1016\/j.entcom.2026.101111_b50","doi-asserted-by":"crossref","DOI":"10.1016\/j.entcom.2024.100781","article-title":"Influence of social robots and digital media based on edge computing on dance performance entertainment environment","volume":"52","author":"Pei","year":"2025","journal-title":"Entertain. Comput."},{"key":"10.1016\/j.entcom.2026.101111_b51","first-page":"25128","article-title":"Enhancing entertainment translation for Indian languages using adaptive context, style and LLMs","volume":"vol. 39","author":"Singh","year":"2025"},{"key":"10.1016\/j.entcom.2026.101111_b52","first-page":"1","article-title":"AI: artistic collaborator?","author":"Anscomb","year":"2024","journal-title":"AI & SOCIETY"},{"key":"10.1016\/j.entcom.2026.101111_b53","series-title":"AI-generated dance and the subjectivity challenge","author":"Wallace","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b54","series-title":"Two systems for automatic music genre recognition: What are they really recognizing?","first-page":"69","author":"Sturm","year":"2012"},{"issue":"2","key":"10.1016\/j.entcom.2026.101111_b55","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/MSP.2006.1598089","article-title":"Automatic genre classification of music content: a survey","volume":"23","author":"Scaringella","year":"2006","journal-title":"IEEE Signal Process. Mag."},{"key":"10.1016\/j.entcom.2026.101111_b56","series-title":"Plan2Dance: Planning based choreographing from music","first-page":"13624","author":"Liu","year":"2020"},{"key":"10.1016\/j.entcom.2026.101111_b57","article-title":"Music choreography algorithm based on feature matching and fragment segmentation","volume":"2022","author":"Wang","year":"2022","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.entcom.2026.101111_b58","series-title":"Why johnny can\u2019t prompt: how non-AI experts try (and fail) to design LLM prompts","first-page":"1","author":"Zamfirescu-Pereira","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b59","series-title":"Unleashing the potential of prompt engineering in large language models: a comprehensive review","author":"Chen","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b60","series-title":"Instruction-following evaluation for large language models","author":"Zhou","year":"2023"},{"key":"10.1016\/j.entcom.2026.101111_b61","unstructured":"OpenAI, Six strategies for getting better results, Tech. rep, 2024, URL https:\/\/platform.openai.com\/docs\/guides\/prompt-engineering. (Accessed December 2024)."},{"issue":"4","key":"10.1016\/j.entcom.2026.101111_b62","doi-asserted-by":"crossref","first-page":"151","DOI":"10.52866\/ijcsm.2023.04.04.012","article-title":"Prompt engineering: Guiding the way to effective large language models","volume":"4","author":"Aljanabi","year":"2023","journal-title":"Iraqi J. Comput. Sci. Math."},{"key":"10.1016\/j.entcom.2026.101111_b63","series-title":"Rethinking the evaluation for conversational recommendation in the era of large language models","author":"Wang","year":"2023"},{"issue":"1","key":"10.1016\/j.entcom.2026.101111_b64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jebo.2011.08.009","article-title":"Experimental methods: Between-subject and within-subject design","volume":"81","author":"Charness","year":"2012","journal-title":"J. Econ. Behav. Organ."},{"issue":"1","key":"10.1016\/j.entcom.2026.101111_b65","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1177\/1359105318763510","article-title":"Decision fatigue: A conceptual analysis","volume":"25","author":"Pignatiello","year":"2020","journal-title":"J. Health Psychol."},{"key":"10.1016\/j.entcom.2026.101111_b66","series-title":"Cost-effective hyperparameter optimization for large language model generation inference","author":"Wang","year":"2023"},{"issue":"1","key":"10.1016\/j.entcom.2026.101111_b67","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10869-022-09864-6","article-title":"A paradigm shift from \u201chuman writing\u201d to \u201cmachine generation\u201d in personality test development: An application of state-of-the-art natural language processing","volume":"38","author":"Lee","year":"2023","journal-title":"J. Bus. Psychol."},{"key":"10.1016\/j.entcom.2026.101111_b68","unstructured":"OpenAI, Mastering temperature and top_p in ChatGPT API, Tech. rep., 2023, URL https:\/\/community.openai.com\/. (Accessed December 2024)."},{"issue":"8","key":"10.1016\/j.entcom.2026.101111_b69","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1093\/cercor\/bhj057","article-title":"The neural basis of human dance","volume":"16","author":"Brown","year":"2006","journal-title":"Cerebral Cortex"},{"key":"10.1016\/j.entcom.2026.101111_b70","doi-asserted-by":"crossref","DOI":"10.1002\/9780470479216.corpsy0491","article-title":"Kruskal-wallis test","author":"McKight","year":"2010","journal-title":"Corsini Encycl. Psychol."},{"key":"10.1016\/j.entcom.2026.101111_b71","doi-asserted-by":"crossref","DOI":"10.1002\/9780470479216.corpsy0524","article-title":"Mann-whitney u test","author":"McKnight","year":"2010","journal-title":"Corsini Encycl. Psychol."}],"container-title":["Entertainment Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1875952126000339?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1875952126000339?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T04:02:03Z","timestamp":1776052923000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1875952126000339"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":71,"alternative-id":["S1875952126000339"],"URL":"https:\/\/doi.org\/10.1016\/j.entcom.2026.101111","relation":{},"ISSN":["1875-9521"],"issn-type":[{"value":"1875-9521","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Fostering human\u2013AI collaboration in robotic dance creation through large language models","name":"articletitle","label":"Article Title"},{"value":"Entertainment Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.entcom.2026.101111","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"101111"}}