{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:25:42Z","timestamp":1769552742962,"version":"3.49.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031781032","type":"print"},{"value":"9783031781049","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"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\/978-3-031-78104-9_24","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T21:44:22Z","timestamp":1733089462000},"page":"351-366","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Benchmarking AI in\u00a0Mental Health: A Critical Examination of\u00a0LLMs Across Key Performance and\u00a0Ethical Metrics"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7849-1407","authenticated-orcid":false,"given":"Rui","family":"Yuan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9232-2811","authenticated-orcid":false,"given":"Wanting","family":"Hao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3590-6676","authenticated-orcid":false,"given":"Chun","family":"Yuan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"issue":"236","key":"24_CR1","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1093\/mind\/LIX.236.433","volume":"59","author":"AM Turing","year":"1950","unstructured":"Turing, A.M.: Computing machinery and intelligence. Mind 59(236), 433\u2013460 (1950)","journal-title":"Mind"},{"key":"24_CR2","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge, MA, USA (2016)"},{"key":"24_CR3","unstructured":"Vaswani, A., et al.: Attention is all You need. In: Advances in Neural Information Processing Systems (NeurIPS), pp. 5998\u20136008 (2017)"},{"key":"24_CR4","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. 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. 4171\u20134186. Association for Computational Linguistics, Minneapolis, MN, USA (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"24_CR5","unstructured":"Brown, T.B., et al.: Language models are few-shot learners. arXiv preprint arXiv:2005.14165 (2020)"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Abdulhai, M., Serapio-Garcia, G., Crepy, C., Valter, D., Canny, J., Jaques, N.: Moral foundations of large language models. arXiv preprint arXiv:2310.15337, October 2023","DOI":"10.18653\/v1\/2024.emnlp-main.982"},{"key":"24_CR7","doi-asserted-by":"publisher","unstructured":"Sorensen, T., et al.: Value kaleidoscope: engaging AI with pluralistic human values, rights, and duties. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, no. 18, pp. 19937\u201319947 (2024). https:\/\/doi.org\/10.1609\/aaai.v38i18.29970","DOI":"10.1609\/aaai.v38i18.29970"},{"key":"24_CR8","unstructured":"Xu, C., et al.: Align on the fly: adapting chatbot behavior to established norms. arXiv preprint arXiv:2312.15907 (2023)"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Huang, J.-T., Wang, W., Lam, M., Li, E., Jiao, W., Lyu, M.: Revisiting the reliability of psychological scales on large language models. arXiv preprint arXiv:2308.03656 (2023)","DOI":"10.18653\/v1\/2024.emnlp-main.354"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Ganesan, A., Lal, Y., Nilsson, A., Schwartz, H.A.: Systematic evaluation of GPT-3 for zero-shot personality estimation. arXiv preprint arXiv:2306.01183 (2023)","DOI":"10.18653\/v1\/2023.wassa-1.34"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., Yang, D.: Can large language models transform computational social science? arXiv preprint arXiv:2304.08967 (2023)","DOI":"10.1162\/coli_a_00502"},{"key":"24_CR12","unstructured":"Song, X., Gupta, A., Mohebbizadeh, K., Hu, S., Singh, A.: Have large language models developed a personality?: Applicability of self-assessment tests in measuring personality in LLMs. arXiv preprint arXiv:2305.14693 (2023)"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"JPark, J.S., O\u2019Brien, J.C., Cai, C.J., Morris, M.R., Liang, P., Bernstein, M.S.: Generative agents: interactive simulacra of human behavior. arXiv preprint arXiv:2304.03442 (2023)","DOI":"10.1145\/3586183.3606763"},{"key":"24_CR14","unstructured":"Jiang, G., Xu, M., Zhu, S.-C., Han, W., Zhang, C., Zhu, Y.: MPI: evaluating and inducing personality in pre-trained language models. arXiv preprint arXiv:2205.04187 (2022)"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Liu, B.: Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, vol. 5, no. 1, pp. 1\u2013167. Morgan & Claypool Publishers (2012)","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"issue":"2","key":"24_CR16","first-page":"119","volume":"12","author":"S Li","year":"2020","unstructured":"Li, S., Deng, W.: Deep facial expression recognition: a survey. IEEE Trans. Affect. Comput. 12(2), 119\u2013135 (2020)","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"4","key":"24_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253","volume":"8","author":"L Zhang","year":"2018","unstructured":"Zhang, L., Wang, S., Liu, B.: Deep learning for sentiment analysis: a survey. Wiley Interdisc. Rev. Data Mining Knowl. Discovery 8(4), e1253 (2018)","journal-title":"Wiley Interdisc. Rev. Data Mining Knowl. Discovery"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"De Choudhury, M., Gamon, M., Counts, S., Horvitz, E.: Predicting depression via social media. In: Proceedings of the 7th International AAAI Conference on Weblogs and Social Media (ICWSM), Cambridge, MA, USA, pp. 128\u2013137 (2013)","DOI":"10.1609\/icwsm.v7i1.14432"},{"key":"24_CR19","doi-asserted-by":"publisher","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: Why should I trust You?: Explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135\u20131144 (2016). https:\/\/doi.org\/10.1145\/2939672.2939778","DOI":"10.1145\/2939672.2939778"},{"key":"24_CR20","volume-title":"An Introduction to MultiAgent Systems","author":"M Wooldridge","year":"2002","unstructured":"Wooldridge, M.: An Introduction to MultiAgent Systems. John Wiley & Sons Ltd, Chichester, UK (2002)"},{"key":"24_CR21","volume-title":"Artificial Intelligence: A Modern Approach","author":"SJ Russell","year":"2016","unstructured":"Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Pearson, Upper Saddle River, NJ, USA (2016)","edition":"3"},{"key":"24_CR22","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511973031","volume-title":"Security and Game Theory: Algorithms, Deployed Systems","author":"M Tambe","year":"2011","unstructured":"Tambe, M.: Security and Game Theory: Algorithms, Deployed Systems. Lessons Learned. Cambridge University Press, New York, NY, USA (2011)"},{"issue":"9","key":"24_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1057\/s41599-020-0492-1","volume":"7","author":"S Lo Piano","year":"2020","unstructured":"Lo Piano, S.: Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward. Humanit. Soc. Sci. Commun. 7(9), 1\u20137 (2020). https:\/\/doi.org\/10.1057\/s41599-020-0492-1","journal-title":"Humanit. Soc. Sci. Commun."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78104-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T23:30:46Z","timestamp":1733095846000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78104-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"ISBN":["9783031781032","9783031781049"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78104-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}