{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:30:33Z","timestamp":1764588633410,"version":"3.41.0"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031949586","type":"print"},{"value":"9783031949593","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-94959-3_5","type":"book-chapter","created":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T17:23:05Z","timestamp":1749489785000},"page":"61-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the Potential and Limitations of Large Language Models to Control the Behavior of Embodied Persuasive Agents"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9783-5014","authenticated-orcid":false,"given":"Christian","family":"Corr\u00f2","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5975-4294","authenticated-orcid":false,"given":"Luca","family":"Chittaro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,2]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860643-2\/50011-1","volume-title":"Persuasive Technology: Using Computers to Change What We Think and Do","author":"BJ Fogg","year":"2003","unstructured":"Fogg, B.J.: Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann Publishers, Amsterdam; Boston (2003)"},{"key":"5_CR2","volume-title":"Embodied Conversational Agents","year":"2000","unstructured":"Cassell, J., Sullivan, J., Scott, P. (eds.): Embodied Conversational Agents. MIT Press, Cambridge, Mass (2000)"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"1248","DOI":"10.1093\/jamia\/ocy072","volume":"25","author":"L Laranjo","year":"2018","unstructured":"Laranjo, L., et al.: Conversational agents in healthcare: a systematic review. J. Am. Med. Inform. Assoc. 25, 1248\u20131258 (2018). https:\/\/doi.org\/10.1093\/jamia\/ocy072","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"5_CR4","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.6553","volume":"19","author":"S Provoost","year":"2017","unstructured":"Provoost, S., Lau, H.M., Ruwaard, J., Riper, H.: Embodied conversational agents in clinical psychology: a scoping review. J. Med. Internet Res. 19, e6553 (2017). https:\/\/doi.org\/10.2196\/jmir.6553","journal-title":"J. Med. Internet Res."},{"issue":"2","key":"5_CR5","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1145\/1067860.1067867","volume":"12","author":"TW Bickmore","year":"2005","unstructured":"Bickmore, T.W., Picard, R.W.: Establishing and maintaining long-term human-computer relationships. ACM Trans. Comput.-Hum. Interact. 12(2), 293\u2013327 (2005). https:\/\/doi.org\/10.1145\/1067860.1067867","journal-title":"ACM Trans. Comput.-Hum. Interact."},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1186\/s13063-020-04777-2","volume":"21","author":"S Provoost","year":"2020","unstructured":"Provoost, S., et al.: Improving adherence to an online intervention for low mood with a virtual coach: study protocol of a pilot randomized controlled trial. Trials 21, 860 (2020). https:\/\/doi.org\/10.1186\/s13063-020-04777-2","journal-title":"Trials"},{"key":"5_CR7","doi-asserted-by":"publisher","DOI":"10.2196\/52097","volume":"25","author":"J Mercado","year":"2023","unstructured":"Mercado, J., Espinosa-Curiel, I.E., Mart\u00ednez-Miranda, J.: Embodied conversational agents providing motivational interviewing to improve health-related behaviors: scoping review. J. Med. Internet Res. 25, e52097 (2023). https:\/\/doi.org\/10.2196\/52097","journal-title":"J. Med. Internet Res."},{"key":"5_CR8","doi-asserted-by":"publisher","unstructured":"Wei, J., et al.: Emergent Abilities of Large Language Models. http:\/\/arxiv.org\/abs\/2206.07682, (2022). https:\/\/doi.org\/10.48550\/arXiv.2206.07682","DOI":"10.48550\/arXiv.2206.07682"},{"key":"5_CR9","unstructured":"Vaswani, A., et al.: Attention is all you need. Advances in neural information processing systems. 30 (2017)"},{"key":"5_CR10","doi-asserted-by":"publisher","unstructured":"Park, J.S., O\u2019Brien, J., Cai, C.J., Morris, M.R., Liang, P., Bernstein, M.S.: Generative agents: interactive simulacra of human behavior. In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, pp. 1\u201322. Association for Computing Machinery, New York (2023). https:\/\/doi.org\/10.1145\/3586183.3606763","DOI":"10.1145\/3586183.3606763"},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1609\/icwsm.v18i1.31304","volume":"18","author":"SM Breum","year":"2024","unstructured":"Breum, S.M., Egdal, D.V., Gram Mortensen, V., M\u00f8ller, A.G., Aiello, L.M.: The persuasive power of large language models. Proc. Int. AAAI Conf. Web Soc. Media 18, 152\u2013163 (2024). https:\/\/doi.org\/10.1609\/icwsm.v18i1.31304","journal-title":"Proc. Int. AAAI Conf. Web Soc. Media"},{"key":"5_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-40231-1","volume":"18","author":"L Wang","year":"2024","unstructured":"Wang, L., et al.: A survey on large language model based autonomous agents. Front. Comput. Sci. 18, 186345 (2024). https:\/\/doi.org\/10.1007\/s11704-024-40231-1","journal-title":"Front. Comput. Sci."},{"issue":"CSCW1","key":"5_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3579592","volume":"7","author":"E Karinshak","year":"2023","unstructured":"Karinshak, E., Liu, S.X., Park, J.S., Hancock, J.T.: Working with AI to persuade: examining a large language model\u2019s ability to generate pro-vaccination messages. Proc. ACM Hum.-Comput. Interact. 7(CSCW1), 1\u201329 (2023). https:\/\/doi.org\/10.1145\/3579592","journal-title":"Proc. ACM Hum.-Comput. Interact."},{"key":"5_CR14","doi-asserted-by":"publisher","unstructured":"Zhu, X., et al.: Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory, (2023). https:\/\/doi.org\/10.48550\/arXiv.2305.17144","DOI":"10.48550\/arXiv.2305.17144"},{"key":"5_CR15","unstructured":"Wang, Z., Cai, S., Chen, G., Liu, A., Ma, X.S., Liang, Y.: Describe, explain, plan and select: interactive planning with LLMs enables open-world multi-task agents. In: Advances in Neural Information Processing Systems, vol. 36 (2024)"},{"key":"5_CR16","unstructured":"Huang, W., Abbeel, P., Pathak, D., Mordatch, I.: Language models as zero-shot planners: extracting actionable knowledge for embodied agents. In: Proceedings of the 39th International Conference on Machine Learning, pp. 9118\u20139147. PMLR (2022)"},{"key":"5_CR17","unstructured":"Crouse, M., etal.: Formally Specifying the High-Level Behavior of LLM-Based Agents"},{"key":"5_CR18","first-page":"24824","volume":"35","author":"J Wei","year":"2022","unstructured":"Wei, J., et al.: Chain-of-thought prompting elicits reasoning in large language models. Adv. Neural. Inf. Process. Syst. 35, 24824\u201324837 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"5_CR19","unstructured":"Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K., Cao, Y.: ReAct: Synergizing Reasoning and Acting in Language Models. International Conference on Learning Representations (ICLR). (2023)"},{"key":"5_CR20","unstructured":"Shinn, N., Cassano, F., Gopinath, A., Narasimhan, K., Yao, S.: Reflexion: Language agents with verbal reinforcement learning. In: Advances in Neural Information Processing Systems, vol. 36 (2024)"},{"key":"5_CR21","unstructured":"Huang, W., et al.: Inner Monologue: Embodied Reasoning through Planning with Language Models (2022)"},{"key":"5_CR22","doi-asserted-by":"publisher","unstructured":"Shamekhi, A., Bickmore, T.: Breathe deep: a breath-sensitive interactive meditation coach. In: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 108\u2013117. ACM, New York NY USA (2018). https:\/\/doi.org\/10.1145\/3240925.3240940","DOI":"10.1145\/3240925.3240940"},{"key":"5_CR23","first-page":"22199","volume":"35","author":"T Kojima","year":"2022","unstructured":"Kojima, T., Gu, S.S., Reid, M., Matsuo, Y., Iwasawa, Y.: Large language models are zero-shot reasoners. Adv. Neural. Inf. Process. Syst. 35, 22199\u201322213 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"5_CR24","unstructured":"Wang, A., et al.: SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. In: Advances in Neural Information Processing Systems. Curran Associates, Inc. (2019)"},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"175","DOI":"10.3758\/BF03193146","volume":"39","author":"F Faul","year":"2007","unstructured":"Faul, F., Erdfelder, E., Lang, A.-G., Buchner, A.: G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175\u2013191 (2007). https:\/\/doi.org\/10.3758\/BF03193146","journal-title":"Behav. Res. Methods"},{"key":"5_CR26","doi-asserted-by":"publisher","DOI":"10.1186\/s13049-024-01266-2","author":"S Beck","year":"2024","unstructured":"Beck, S., Kuhner, M., Haar, M., Daubmann, A., Semmann, M., Kluge, S.: Evaluating the accuracy and reliability of AI chatbots in disseminating the content of current resuscitation guidelines: a comparative analysis between the ERC 2021 guidelines and both ChatGPTs 3.5 and 4. Scand J. Trauma Resusc. Emerg. Med. (2024). https:\/\/doi.org\/10.1186\/s13049-024-01266-2","journal-title":"Scand J. Trauma Resusc. Emerg. Med."},{"key":"5_CR27","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Measur. 20, 37\u201346 (1960). https:\/\/doi.org\/10.1177\/001316446002000104","journal-title":"Educ. Psychol. Measur."},{"key":"5_CR28","doi-asserted-by":"publisher","unstructured":"Bommasani, R., et al.: On the Opportunities and Risks of Foundation Models. ArXiv. (2022). https:\/\/doi.org\/10.48550\/arXiv.2108.07258","DOI":"10.48550\/arXiv.2108.07258"},{"key":"5_CR29","unstructured":"Gupta, R., et al.: The Shift from Models to Compound AI Systems. http:\/\/bair.berkeley.edu\/blog\/2024\/02\/18\/compound-ai-systems\/"},{"key":"5_CR30","unstructured":"Liu, J., Yu, C., Gao, J., Xie, Y., Liao, Q., Wu, Y., Wang, Y.: LLM-powered hierarchical language agent for real-time human-AI coordination. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. pp. 1219\u20131228. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC (2024)"},{"key":"5_CR31","doi-asserted-by":"publisher","unstructured":"Carrasco-Farre, C.: Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments, (2024). https:\/\/doi.org\/10.48550\/arXiv.2404.09329","DOI":"10.48550\/arXiv.2404.09329"},{"key":"5_CR32","unstructured":"Esin, D., Lovitt, L., Alex, T., Stuart, R., Jack, C., Ganguli, D.: Measuring the Persuasiveness of Language Models. https:\/\/www.anthropic.com\/news\/measuring-model-persuasiveness"},{"key":"5_CR33","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. In: Proceedings of the 34th International Conference on Neural Information Processing Systems, pp. 9459\u20139474. Curran Associates Inc., Red Hook, NY, USA (2020)"},{"key":"5_CR34","doi-asserted-by":"publisher","unstructured":"Ouyang, L., et al.: Training language models to follow instructions with human feedback (2022). https:\/\/doi.org\/10.48550\/arXiv.2203.02155","DOI":"10.48550\/arXiv.2203.02155"}],"container-title":["Lecture Notes in Computer Science","Persuasive Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-94959-3_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T17:23:11Z","timestamp":1749489791000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-94959-3_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031949586","9783031949593"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-94959-3_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"PERSUASIVE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Persuasive Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"persuasive2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.persuasivetech.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}