{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:47:58Z","timestamp":1776898078254,"version":"3.51.2"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032167071","type":"print"},{"value":"9783032167088","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-16708-8_35","type":"book-chapter","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:33:47Z","timestamp":1776897227000},"page":"441-452","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Large Language Models as\u00a0Digital Health Coaches: A Role-Play Approach to\u00a0Brief Action Planning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7789-2535","authenticated-orcid":false,"given":"Marco","family":"Bolpagni","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3021-6606","authenticated-orcid":false,"given":"Leonardo","family":"Sanna","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3356-7957","authenticated-orcid":false,"given":"Simone","family":"De Carli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7080-0615","authenticated-orcid":false,"given":"Silvia","family":"Gabrielli","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0380-6571","authenticated-orcid":false,"given":"Mauro","family":"Dragoni","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"35_CR1","doi-asserted-by":"publisher","unstructured":"Abbasian, M., Khatibi, E., Azimi, I., et\u00a0al.: Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative Ai. Npj Digit. Med. 7(1), 82 (2024). https:\/\/doi.org\/10.1038\/s41746-024-01074-z","DOI":"10.1038\/s41746-024-01074-z"},{"key":"35_CR2","doi-asserted-by":"publisher","unstructured":"Ayers, J.W., et al.: Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA Intern. Med. 183(6), 589\u2013596 (2023). https:\/\/doi.org\/10.1001\/jamainternmed.2023.1838","DOI":"10.1001\/jamainternmed.2023.1838"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Denecke, K.: Framework for guiding the development of high-quality conversational agents in healthcare. In: Healthcare, vol.\u00a011, p.\u00a01061. MDPI (2023)","DOI":"10.3390\/healthcare11081061"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Denecke, K., May, R., LLMHealthGroup, Rivera\u00a0Romero, O.: Potential of large language models in health care: Delphi study. J. Med. Internet Res. 26, e52399 (2024)","DOI":"10.2196\/52399"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Deng, Y., Lei, W., Huang, M., Chua, T.S.: Rethinking conversational agents in the era of llms: Proactivity, non-collaborativity, and beyond. In: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region. pp. 298\u2013301 (2023)","DOI":"10.1145\/3624918.3629548"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Fadhil, A., Gabrielli, S.: Addressing challenges in promoting healthy lifestyles: the al-chatbot approach. In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. pp. 261\u2013265 (2017)","DOI":"10.1145\/3154862.3154914"},{"issue":"1","key":"35_CR7","first-page":"17","volume":"21","author":"D Gutnick","year":"2014","unstructured":"Gutnick, D., Reims, K., Davis, C., Gainforth, H., Jay, M., Cole, S.: Brief action planning to facilitate behavior change and support patient self-management. JCOM 21(1), 17\u201329 (2014)","journal-title":"JCOM"},{"issue":"9","key":"35_CR8","first-page":"660","volume":"41","author":"K Hall","year":"2012","unstructured":"Hall, K., Gibbie, T., Lubman, D.I.: Motivational interviewing techniques: facilitating behaviour change in the general practice setting. Aust. Fam. Phys. 41(9), 660\u2013667 (2012)","journal-title":"Aust. Fam. Phys."},{"key":"35_CR9","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."},{"issue":"3","key":"35_CR10","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1071\/PY03044","volume":"9","author":"H Lindner","year":"2003","unstructured":"Lindner, H., Menzies, D., Kelly, J., Taylor, S., Shearer, M.: Coaching for behaviour change in chronic disease: a review of the literature and the implications for coaching as a self-management intervention. Aust. J. Prim. Health 9(3), 177\u2013185 (2003)","journal-title":"Aust. J. Prim. Health"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Lou, R., Zhang, K., Yin, W.: Large language model instruction following: a survey of progresses and challenges. Comput. Linguist. 50(3), 1053\u20131095 (2024)","DOI":"10.1162\/coli_a_00523"},{"issue":"1","key":"35_CR12","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/s41398-023-02592-2","volume":"13","author":"M Malgaroli","year":"2023","unstructured":"Malgaroli, M., Hull, T.D., Zech, J.M., Althoff, T.: Natural language processing for mental health interventions: a systematic review and research framework. Transl. Psychiatry 13(1), 309 (2023)","journal-title":"Transl. Psychiatry"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Marvin, G., Hellen, N., Jjingo, D., Nakatumba-Nabende, J.: Prompt engineering in large language models. In: International conference on data intelligence and cognitive informatics, pp. 387\u2013402. Springer, Cham (2023)","DOI":"10.1007\/978-981-99-7962-2_30"},{"key":"35_CR14","doi-asserted-by":"publisher","DOI":"10.2196\/50638","volume":"25","author":"B Mesk\u00f3","year":"2023","unstructured":"Mesk\u00f3, B.: Prompt engineering as an important emerging skill for medical professionals: tutorial. J. Med. Internet Res. 25, e50638 (2023)","journal-title":"J. Med. Internet Res."},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Meyer, S., Elsweiler, D.: Llm-based conversational agents for behaviour change support: A randomized controlled trial examining efficacy, safety, and the role of user behaviour. Safety, and the role of user behaviour. Int. J. Human-Comput. Stud. 200, 103514 (2025)","DOI":"10.1016\/j.ijhcs.2025.103514"},{"issue":"6","key":"35_CR16","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1037\/a0016830","volume":"64","author":"WR Miller","year":"2009","unstructured":"Miller, W.R., Rose, G.S.: Toward a theory of motivational interviewing. Am. Psychol. 64(6), 527 (2009)","journal-title":"Am. Psychol."},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Montenegro, J.L.Z., da Costa, C.A., da Rosa Righi, R.: Survey of conversational agents in health. Expert Syst. Appl. 129, 56\u201367 (2019)","DOI":"10.1016\/j.eswa.2019.03.054"},{"key":"35_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2023.105272","volume":"181","author":"I Otero-Gonz\u00e1lez","year":"2024","unstructured":"Otero-Gonz\u00e1lez, I., Pacheco-Lorenzo, M.R., Fern\u00e1ndez-Iglesias, M.J., Anido-Rif\u00f3n, L.E.: Conversational agents for depression screening: A systematic review. Int. J. Med. Inform. 181, 105272 (2024)","journal-title":"Int. J. Med. Inform."},{"key":"35_CR19","doi-asserted-by":"publisher","unstructured":"Ozolcer, M., Yang, Y., Kate, S., Samant, P., Bae, S.W.: Toward enhancing user experience and adoption of ai chatbot apps for mental health: Insights from natural language processing of user reviews. In: Salado, A., Valerdi, R., Steiner, R., Head, L. (eds.) Conference on Systems Engineering Research. pp. 569\u2013586. Springer (2024). https:\/\/doi.org\/10.1007\/978-3-031-62554-1_37","DOI":"10.1007\/978-3-031-62554-1_37"},{"issue":"6","key":"35_CR20","doi-asserted-by":"publisher","first-page":"365","DOI":"10.4082\/kjfm.20.0165","volume":"41","author":"JH Park","year":"2020","unstructured":"Park, J.H., Moon, J.H., Kim, H.J., Kong, M.H., Oh, Y.H.: Sedentary lifestyle: overview of updated evidence of potential health risks. Korean J. Fam. Med. 41(6), 365 (2020)","journal-title":"Korean J. Fam. Med."},{"key":"35_CR21","doi-asserted-by":"publisher","unstructured":"Patil, R., Heston, T.F., Bhuse, V.: Prompt engineering in healthcare. Electronics 13(15) (2024). https:\/\/doi.org\/10.3390\/electronics13152961, https:\/\/www.mdpi.com\/2079-9292\/13\/15\/2961","DOI":"10.3390\/electronics13152961"},{"issue":"1","key":"35_CR22","doi-asserted-by":"publisher","first-page":"38","DOI":"10.4278\/0890-1171-12.1.38","volume":"12","author":"JO Prochaska","year":"1997","unstructured":"Prochaska, J.O., Velicer, W.F.: The transtheoretical model of health behavior change. Am. J. Health Promot. 12(1), 38\u201348 (1997)","journal-title":"Am. J. Health Promot."},{"issue":"7987","key":"35_CR23","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1038\/s41586-023-06647-8","volume":"623","author":"M Shanahan","year":"2023","unstructured":"Shanahan, M., McDonell, K., Reynolds, L.: Role play with large language models. Nature 623(7987), 493\u2013498 (2023)","journal-title":"Nature"},{"key":"35_CR24","doi-asserted-by":"publisher","DOI":"10.2196\/52597","volume":"26","author":"V Sorin","year":"2024","unstructured":"Sorin, V., et al.: Large language models and empathy: Systematic review. J. Med. Internet Res. 26, e52597 (2024)","journal-title":"J. Med. Internet Res."},{"key":"35_CR25","doi-asserted-by":"publisher","unstructured":"Steenstra, I., Nouraei, F., Arjmand, M., Bickmore, T.: Virtual agents for alcohol use counseling: Exploring llm-powered motivational interviewing. In: Proceedings of the 24th ACM International Conference on Intelligent Virtual Agents. IVA \u201924, Association for Computing Machinery, New York, NY, USA (2024). https:\/\/doi.org\/10.1145\/3652988.3673932","DOI":"10.1145\/3652988.3673932"},{"key":"35_CR26","doi-asserted-by":"crossref","unstructured":"Wang, J., et\u00a0al.: Review of large vision models and visual prompt engineering. Meta-Radiol. 1(3), 100047 (2023)","DOI":"10.1016\/j.metrad.2023.100047"},{"key":"35_CR27","doi-asserted-by":"publisher","unstructured":"Wu, X., et al.: From language modeling to instruction following: Understanding the behavior shift in LLMs after instruction tuning. In: Duh, K., Gomez, H., Bethard, S. (eds.) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pp. 2341\u20132369. Association for Computational Linguistics, Mexico City, Mexico (2024).https:\/\/doi.org\/10.18653\/v1\/2024.naacl-long.130, https:\/\/aclanthology.org\/2024.naacl-long.130\/","DOI":"10.18653\/v1\/2024.naacl-long.130"},{"issue":"1","key":"35_CR28","doi-asserted-by":"publisher","DOI":"10.2196\/59908","volume":"11","author":"Y Yang","year":"2024","unstructured":"Yang, Y., Tavares, J., Oliveira, T., et al.: A new research model for artificial intelligence-based well-being chatbot engagement: survey study. JMIR Hum. Factors 11(1), e59908 (2024)","journal-title":"JMIR Hum. Factors"},{"key":"35_CR29","doi-asserted-by":"publisher","DOI":"10.2196\/60501","volume":"26","author":"J Zaghir","year":"2024","unstructured":"Zaghir, J., Naguib, M., Bjelogrlic, M., N\u00e9v\u00e9ol, A., Tannier, X., Lovis, C.: Prompt engineering paradigms for medical applications: scoping review. J. Med. Internet Res. 26, e60501 (2024)","journal-title":"J. Med. Internet Res."},{"key":"35_CR30","doi-asserted-by":"publisher","unstructured":"Zhang, J., et al.: The potential and pitfalls of using a large language model such as chatgpt, gpt-4, or llama as a clinical assistant. J. Am. Med. Inform. Assoc. 31(9), 1884\u20131891 (2024). https:\/\/doi.org\/10.1093\/jamia\/ocae184","DOI":"10.1093\/jamia\/ocae184"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-16708-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:33:50Z","timestamp":1776897230000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-16708-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032167071","9783032167088"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-16708-8_35","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HC_AIxIA_HYDRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Workshop on Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bologna","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"25 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hc_aixia_hydra2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/unical.it\/hcaixia-hydra-2025\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}