{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T06:45:50Z","timestamp":1773557150191,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031582257","type":"print"},{"value":"9783031582264","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-58226-4_22","type":"book-chapter","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T19:02:25Z","timestamp":1712689345000},"page":"287-300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Counterfactual Reasoning Using Predicted Latent Personality Dimensions for\u00a0Optimizing Persuasion Outcome"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6425-6270","authenticated-orcid":false,"given":"Donghuo","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8909-635X","authenticated-orcid":false,"given":"Roberto S.","family":"Legaspi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4842-1608","authenticated-orcid":false,"given":"Yuewen","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8593-0586","authenticated-orcid":false,"given":"Xinshuai","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9563-760X","authenticated-orcid":false,"given":"Kazushi","family":"Ikeda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1385-190X","authenticated-orcid":false,"given":"Peter","family":"Spirtes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1343-9472","authenticated-orcid":false,"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,10]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Chakrabarty, T., Hidey, C., Muresan, S., McKeown, K., Hwang, A.: AMPERSAND: Argument mining for PERSuAsive oNline discussions. In: EMNLP-IJCNLP, pp. 2933\u20132943. ACL, Hong Kong, China (Nov 2019)","DOI":"10.18653\/v1\/D19-1291"},{"key":"22_CR2","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"issue":"6","key":"22_CR3","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1177\/0956797611436349","volume":"23","author":"JB Hirsh","year":"2012","unstructured":"Hirsh, J.B., Kang, S.K., Bodenhausen, G.V.: Personalized persuasion: tailoring persuasive appeals to recipients\u2019 personality traits. Psychol. Sci. 23(6), 578\u2013581 (2012)","journal-title":"Psychol. Sci."},{"key":"22_CR4","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1007\/978-3-030-20893-6_14","volume-title":"Computer Vision \u2013 ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2\u20136, 2018, Revised Selected Papers, Part III","author":"A Jaiswal","year":"2019","unstructured":"Jaiswal, A., AbdAlmageed, W., Wu, Y., Natarajan, P.: Bidirectional conditional generative adversarial networks. In: Jawahar, C.V., Li, H., Mori, G., Schindler, K. (eds.) Computer Vision \u2013 ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2\u20136, 2018, Revised Selected Papers, Part III, pp. 216\u2013232. Springer International Publishing, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20893-6_14"},{"key":"22_CR5","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.ijhcs.2015.01.004","volume":"77","author":"M Kaptein","year":"2015","unstructured":"Kaptein, M., Markopoulos, P., De Ruyter, B., Aarts, E.: Personalizing persuasive technologies: explicit and implicit personalization using persuasion profiles. Int. J. Hum Comput Stud. 77, 38\u201351 (2015)","journal-title":"Int. J. Hum Comput Stud."},{"key":"22_CR6","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"22_CR7","unstructured":"Lu, C., Huang, B., Wang, K., Hern\u00e1ndez-Lobato, J.M., Zhang, K., Sch\u00f6lkopf, B.: Sample-efficient reinforcement learning via counterfactual-based data augmentation. arXiv preprint arXiv:2012.09092 (2020)"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Matz, S., Teeny, J., Vaid, S.S., Harari, G.M., Cerf, M.: The potential of generative ai for personalized persuasion at scale (2023)","DOI":"10.31234\/osf.io\/rn97c"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Mnih, V., et\u00a0al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","DOI":"10.1038\/nature14236"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Orji, R., Tondello, G.F., Nacke, L.E.: Personalizing persuasive strategies in gameful systems to gamification user types. In: Proceedings of the 2018 CHI Conference On Human Factors in Computing Systems, pp. 1\u201314 (2018)","DOI":"10.1145\/3173574.3174009"},{"issue":"2","key":"22_CR11","first-page":"3","volume":"19","author":"J Pearl","year":"2000","unstructured":"Pearl, J., et al.: Models, reasoning and inference. Cambridge, UK: CambridgeUniversityPress 19(2), 3 (2000)","journal-title":"Cambridge, UK: CambridgeUniversityPress"},{"issue":"2","key":"22_CR12","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1017\/S0269888906000865","volume":"21","author":"H Prakken","year":"2006","unstructured":"Prakken, H.: Formal systems for persuasion dialogue. Knowl. Eng. Rev. 21(2), 163\u2013188 (2006)","journal-title":"Knowl. Eng. Rev."},{"key":"22_CR13","unstructured":"Raghu, A., Komorowski, M., Ahmed, I., Celi, L., Szolovits, P., Ghassemi, M.: Deep reinforcement learning for sepsis treatment. arXiv preprint arXiv:1711.09602 (2017)"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Rieger, A., Shaheen, Q.U.A., Sierra, C., Theune, M., Tintarev, N.: Towards healthy engagement with online debates: An investigation of debate summaries and personalized persuasive suggestions. In: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, pp. 192\u2013199 (2022)","DOI":"10.1145\/3511047.3537692"},{"issue":"6","key":"22_CR15","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1177\/0146167202289008","volume":"28","author":"S Roccas","year":"2002","unstructured":"Roccas, S., Sagiv, L., Schwartz, S.H., Knafo, A.: The big five personality factors and personal values. Pers. Soc. Psychol. Bull. 28(6), 789\u2013801 (2002)","journal-title":"Pers. Soc. Psychol. Bull."},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Shi, W., Wang, X., Oh, Y.J., Zhang, J., Sahay, S., Yu, Z.: Effects of persuasive dialogues: testing bot identities and inquiry strategies. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1\u201313 (2020)","DOI":"10.1145\/3313831.3376843"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Su, H., Shen, X., Hu, P., Li, W., Chen, Y.: Dialogue generation with gan. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.12158"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Torning, K., Oinas-Kukkonen, H.: Persuasive system design: state of the art and future directions. In: Proceedings of the 4th International Conference on Persuasive Technology, pp.\u00a01\u20138 (2009)","DOI":"10.1145\/1541948.1541989"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Tran, N., Alikhani, M., Litman, D.: How to ask for donations? learning user-specific persuasive dialogue policies through online interactions. In: Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, pp. 12\u201322 (2022)","DOI":"10.1145\/3503252.3531313"},{"key":"22_CR20","doi-asserted-by":"crossref","unstructured":"Wachsmuth, H., et al.: Computational argumentation quality assessment in natural language. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pp. 176\u2013187 (2017)","DOI":"10.18653\/v1\/E17-1017"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: Persuasion for good: Towards a personalized persuasive dialogue system for social good. In: Korhonen, A., Traum, D.R., M\u00e0rquez, L. (eds.) ACL 2019, pp. 5635\u20135649. ACL (2019)","DOI":"10.18653\/v1\/P19-1566"},{"key":"22_CR22","doi-asserted-by":"crossref","unstructured":"Wei, Z., Liu, Y., Li, Y.: Is this post persuasive? ranking argumentative comments in online forum. In: Erk, K., Smith, N.A. (eds.) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 195\u2013200. ACL, Berlin, Germany (Aug 2016)","DOI":"10.18653\/v1\/P16-2032"},{"key":"22_CR23","doi-asserted-by":"crossref","unstructured":"Wei, Z., Liu, Y., Li, Y.: Is this post persuasive? ranking argumentative comments in online forum. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 195\u2013200 (2016)","DOI":"10.18653\/v1\/P16-2032"},{"key":"22_CR24","doi-asserted-by":"crossref","unstructured":"Yang, D., Chen, J., Yang, Z., Jurafsky, D., Hovy, E.: Let\u2019s make your request more persuasive: Modeling persuasive strategies via semi-supervised neural nets on crowdfunding platforms. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 3620\u20133630 (2019)","DOI":"10.18653\/v1\/N19-1364"},{"key":"22_CR25","unstructured":"Yoshino, K., Ishikawa, Y., Mizukami, M., Suzuki, Y., Sakti, S., Nakamura, S.: Dialogue scenario collection of persuasive dialogue with emotional expressions via crowdsourcing. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (2018)"}],"container-title":["Lecture Notes in Computer Science","Persuasive Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58226-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T19:11:14Z","timestamp":1712689874000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58226-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031582257","9783031582264"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58226-4_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"Wollongong, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"persuasive2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.persuasivetech.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}