{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:11:02Z","timestamp":1771035062097,"version":"3.50.1"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031476570","type":"print"},{"value":"9783031476587","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-47658-7_26","type":"book-chapter","created":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T21:30:04Z","timestamp":1698701404000},"page":"274-284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["What Is Waiting for\u00a0Us at\u00a0the\u00a0End? Inherent Biases of\u00a0Game Story Endings in\u00a0Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6824-2634","authenticated-orcid":false,"given":"Pittawat","family":"Taveekitworachai","sequence":"first","affiliation":[]},{"given":"Febri","family":"Abdullah","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3387-5551","authenticated-orcid":false,"given":"Mustafa Can","family":"Gursesli","sequence":"additional","affiliation":[]},{"given":"Mury F.","family":"Dewantoro","sequence":"additional","affiliation":[]},{"given":"Siyuan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Lanata","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Guazzini","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9001-5828","authenticated-orcid":false,"given":"Ruck","family":"Thawonmas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,31]]},"reference":[{"key":"26_CR1","unstructured":"Baek, S., Im, H., Ryu, J., et al.: PromptCrafter: crafting text-to-image prompt through mixed-initiative dialogue with LLM. arXiv preprint arXiv:2307.08985 (2023)"},{"key":"26_CR2","unstructured":"Christiano, P., Leike, J., Brown, T.B., et al.: Deep reinforcement learning from human preferences (2023)"},{"key":"26_CR3","unstructured":"Dang, H., Mecke, L., Lehmann, F., et al.: How to prompt? Opportunities and challenges of zero-and few-shot learning for human-AI interaction in creative applications of generative models. arXiv preprint arXiv:2209.01390 (2022)"},{"issue":"1","key":"26_CR4","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1080\/00933104.2018.1560713","volume":"47","author":"L Gilbert","year":"2019","unstructured":"Gilbert, L.: \u201cAssassin\u2019s Creed reminds us that history is human experience\u2019\u2019: students\u2019 senses of empathy while playing a narrative video game. Theory Res. Soc. Educ. 47(1), 108\u2013137 (2019). https:\/\/doi.org\/10.1080\/00933104.2018.1560713","journal-title":"Theory Res. Soc. Educ."},{"key":"26_CR5","unstructured":"Grace, L.: Game type and game genre (2005). Accessed 22 Feb 2009"},{"key":"26_CR6","unstructured":"Jozefowicz, R., Vinyals, O., Schuster, M., et al.: Exploring the limits of language modeling (2016)"},{"key":"26_CR7","doi-asserted-by":"publisher","unstructured":"Kasneci, E., Sessler, K., K\u00fcchemann, S., et al.: ChatGPT for good? On opportunities and challenges of large language models for education. Learn. Individ. Differ. 103, 102274 (2023). https:\/\/doi.org\/10.1016\/j.lindif.2023.102274. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1041608023000195","DOI":"10.1016\/j.lindif.2023.102274"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Khandelwal, U., He, H., Qi, P., et al.: Sharp nearby, fuzzy far away: how neural language models use context. arXiv preprint arXiv:1805.04623 (2018)","DOI":"10.18653\/v1\/P18-1027"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Lanzi, P.L., Loiacono, D.: ChatGPT and other large language models as evolutionary engines for online interactive collaborative game design (2023)","DOI":"10.1145\/3583131.3590351"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Lu, Y., Bartolo, M., Moore, A., et al.: Fantastically ordered prompts and where to find them: overcoming few-shot prompt order sensitivity. arXiv preprint arXiv:2104.08786 (2021)","DOI":"10.18653\/v1\/2022.acl-long.556"},{"key":"26_CR11","unstructured":"Murray, J.: From game-story to cyberdrama. In: First Person: New Media as Story, Performance, and Game, vol. 1, pp. 2\u201311 (2004)"},{"key":"26_CR12","unstructured":"OpenAI: Introducing ChatGPT (2022). https:\/\/openai.com\/blog\/chatgpt"},{"key":"26_CR13","unstructured":"OpenAI: GPT-4 technical report (2023)"},{"key":"26_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-642-10643-9_28","volume-title":"Interactive Storytelling","author":"J Porteous","year":"2009","unstructured":"Porteous, J., Cavazza, M.: Controlling narrative generation with planning trajectories: the role of constraints. In: Iurgel, I.A., Zagalo, N., Petta, P. (eds.) ICIDS 2009. LNCS, vol. 5915, pp. 234\u2013245. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-10643-9_28"},{"key":"26_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-319-27036-4_8","volume-title":"Interactive Storytelling","author":"M Roemmele","year":"2015","unstructured":"Roemmele, M., Gordon, A.S.: Creative help: a story writing assistant. In: Schoenau-Fog, H., Bruni, L.E., Louchart, S., Baceviciute, S. (eds.) ICIDS 2015. LNCS, vol. 9445, pp. 81\u201392. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-27036-4_8"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Sallam, M.: ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare 11(6) (2023). https:\/\/www.mdpi.com\/2227-9032\/11\/6\/887","DOI":"10.3390\/healthcare11060887"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Shaikh, O., Zhang, H., Held, W., et al.: On second thought, let\u2019s not think step by step! bias and toxicity in zero-shot reasoning (2023)","DOI":"10.18653\/v1\/2023.acl-long.244"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Taveekitworachai, P., Abdullah, F., Dewantoro, M.F., et al.: ChatGPT4PCG competition: character-like level generation for science birds (2023)","DOI":"10.1109\/CoG57401.2023.10333206"},{"key":"26_CR19","unstructured":"Touvron, H., Martin, L., Stone, K., et al.: LLaMA 2: open foundation and fine-tuned chat models (2023)"},{"key":"26_CR20","unstructured":"Venkit, P.N., Gautam, S., Panchanadikar, R., et al.: Nationality bias in text generation (2023)"},{"key":"26_CR21","doi-asserted-by":"publisher","unstructured":"V\u00e4rtinen, S., H\u00e4m\u00e4l\u00e4inen, P., Guckelsberger, C.: Generating role-playing game quests with GPT language models. IEEE Trans. Games 1\u201312 (2022). https:\/\/doi.org\/10.1109\/TG.2022.3228480","DOI":"10.1109\/TG.2022.3228480"},{"key":"26_CR22","unstructured":"Wang, G., Xie, Y., Jiang, Y., et al.: Voyager: an open-ended embodied agent with large language models (2023)"},{"key":"26_CR23","doi-asserted-by":"crossref","unstructured":"Wang, Z., Xie, Q., Ding, Z., et al.: Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study (2023)","DOI":"10.18653\/v1\/2023.newsum-1.1"},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Webson, A., Pavlick, E.: Do prompt-based models really understand the meaning of their prompts? arXiv preprint arXiv:2109.01247 (2021)","DOI":"10.18653\/v1\/2022.naacl-main.167"},{"key":"26_CR25","unstructured":"Wei, J., Tay, Y., Bommasani, R., et al.: Emergent abilities of large language models (2022)"},{"key":"26_CR26","unstructured":"White, J., Fu, Q., Hays, S., et al.: A prompt pattern catalog to enhance prompt engineering with ChatGPT (2023)"},{"key":"26_CR27","unstructured":"Wu, M., Aji, A.F.: Style over substance: Evaluation biases for large language models (2023)"},{"key":"26_CR28","doi-asserted-by":"publisher","unstructured":"Yuan, A., Coenen, A., Reif, E., et\u00a0al.: Wordcraft: story writing with large language models. In: 27th International Conference on Intelligent User Interfaces, IUI 2022, pp. 841\u2013852. Association for Computing Machinery, New York (2022). https:\/\/doi.org\/10.1145\/3490099.3511105","DOI":"10.1145\/3490099.3511105"},{"key":"26_CR29","unstructured":"Zhao, W.X., et al.: A survey of large language models (2023)"},{"key":"26_CR30","unstructured":"Zhou, Y., Muresanu, A.I., Han, Z., et al.: Large language models are human-level prompt engineers. arXiv preprint arXiv:2211.01910 (2022)"}],"container-title":["Lecture Notes in Computer Science","Interactive Storytelling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47658-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,24]],"date-time":"2023-12-24T23:31:38Z","timestamp":1703460698000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47658-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031476570","9783031476587"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47658-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Interactive Digital Storytelling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kobe","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icids2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icids2023.ardin.online\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}