{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:03:56Z","timestamp":1772906636476,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Thanks to the publication of ChatGPT, Artificial Intelligence is now basically accessible and usable to all internet users. The technology behind it can be used in many chatbots, whereby the chatbots should be trained for the respective area of application. Depending on the application, the chatbot should react differently and thus, for example, also take on and embody personality traits to be able to help and answer people better and more personally. This raises the question of whether ChatGPT-4 is able to embody personality traits. Our study investigated whether ChatGPT-4\u2019s personality can be analyzed using personality tests for humans. To test possible approaches to measuring the personality traits of ChatGPT-4, experiments were conducted with two of the most well-known personality tests: the Big Five and Myers\u2013Briggs. The experiments also examine whether and how personality can be changed by user input and what influence this has on the results of the personality tests.<\/jats:p>","DOI":"10.3390\/info15060300","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T05:36:06Z","timestamp":1716528966000},"page":"300","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The Personification of ChatGPT (GPT-4)\u2014Understanding Its Personality and Adaptability"],"prefix":"10.3390","volume":"15","author":[{"given":"Leandro","family":"St\u00f6ckli","sequence":"first","affiliation":[{"name":"School of Business, University of Applied Sciences and Arts Northwestern Switzerland, 4600 Olten, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1613-3772","authenticated-orcid":false,"given":"Luca","family":"Joho","sequence":"additional","affiliation":[{"name":"School of Business, University of Applied Sciences and Arts Northwestern Switzerland, 4600 Olten, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9759-9608","authenticated-orcid":false,"given":"Felix","family":"Lehner","sequence":"additional","affiliation":[{"name":"School of Business, University of Applied Sciences and Arts Northwestern Switzerland, 4600 Olten, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5636-1660","authenticated-orcid":false,"given":"Thomas","family":"Hanne","sequence":"additional","affiliation":[{"name":"Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, 4600 Olten, Switzerland"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1631\/FITEE.1700826","article-title":"From Eliza to XiaoIce: Challenges and opportunities with social chatbots","volume":"19","author":"Shum","year":"2018","journal-title":"Front. Inf. Technol. Electron. Eng."},{"key":"ref_2","unstructured":"OpenAI (2023). GPT-4 Technical Report. arXiv."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/MC.2020.2996587","article-title":"A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect with Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence","volume":"53","author":"Akata","year":"2020","journal-title":"Computer"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Chen, B., Wang, G., Guo, H., Wang, Y., and Yan, Q. (2023, January 16\u201318). Understanding multi-turn toxic behaviors in open-domain chatbots. Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, Hong Kong, China.","DOI":"10.1145\/3607199.3607237"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Bodrunova, S.S., Koltsova, O., F\u00f8lstad, A., Halpin, H., Kolozaridi, P., Yuldashev, L., Smoliarova, A., and Niedermayer, H. (2019). Internet Science, Springer International Publishing.","DOI":"10.1007\/978-3-030-17705-8"},{"key":"ref_6","unstructured":"Matz, S., Chan, Y.W.F., and Kosinski, M. (2016). Emotions and Personality in Personalized Services: Models, Evaluation and Applications, Springer."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Chowdhary, K.R. (2020). Fundamentals of Artificial Intelligence, Springer.","DOI":"10.1007\/978-81-322-3972-7"},{"key":"ref_8","unstructured":"Eisenstein, J. (2019). Introduction to Natural Language Processing, MIT Press."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"102274","DOI":"10.1016\/j.lindif.2023.102274","article-title":"ChatGPT for good? On opportunities and challenges of large language models for education","volume":"103","author":"Kasneci","year":"2023","journal-title":"Learn. Individ. Differ."},{"key":"ref_10","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., and Polosukhin, I. (2017). Attention Is All You Need. arXiv, Available online: http:\/\/arxiv.org\/abs\/1706.03762."},{"key":"ref_11","unstructured":"Hariri, W. (2023). Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing. arXiv."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1146\/annurev.ps.45.020194.002041","article-title":"Personality Assessment","volume":"45","author":"Ozer","year":"1994","journal-title":"Annu. Rev. Psychol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1037\/h0075959","article-title":"The vectors of mind","volume":"41","author":"Thurstone","year":"1934","journal-title":"Psychol. Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1037\/0003-066X.48.1.26","article-title":"The structure of phenotypic personality traits","volume":"48","author":"Goldberg","year":"1993","journal-title":"Am. Psychol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1146\/annurev-psych-020821-114927","article-title":"Personality Psychology","volume":"73","author":"Roberts","year":"2022","journal-title":"Annu. Rev. Psychol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Asendorpf, J.B., and Neyer, F.J. (2012). Psychologie der Pers\u00f6nlichkeit, Springer.","DOI":"10.1007\/978-3-642-30264-0"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Rauthmann, J.F. (2017). Pers\u00f6nlichkeitspsychologie: Paradigmen\u2014Str\u00f6mungen\u2014Theorien, Springer.","DOI":"10.1007\/978-3-662-53004-7"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1111\/j.1742-9544.1995.tb01750.x","article-title":"Myers-Briggs Type Indicator (MBTI): Some psychometric limitations","volume":"30","author":"Boyle","year":"1995","journal-title":"Aust. Psychol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/0191-8869(96)00033-5","article-title":"The big five versus the big four: The relationship between the Myers-Briggs Type Indicator (MBTI) and NEO-PI five factor model of personality","volume":"21","author":"Furnham","year":"1996","journal-title":"Personal. Individ. Differ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1093\/mind\/LIX.236.433","article-title":"Computing Machinery and Intelligence","volume":"59","author":"Turing","year":"1950","journal-title":"Mind"},{"key":"ref_21","unstructured":"Laugwitz, B., Schubert, U., Ilmberger, W., Tamm, N., Held, T., and Schrepp, M. (2009). Subjektive Benutzerzufriedenheit Quantitativ erfassen: Erfahrungen Mit dem User Experience Questionnaire UEQ, Tagungsband UP09; Fraunhofer Verlag."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ahsan, M.M.T., Rahaman, M.S., and Anjum, N. (2023). From ChatGPT-3 to GPT-4: A Significant Leap in AI-Driven NLP Tools. SSRN Libr.","DOI":"10.2139\/ssrn.4404397"},{"key":"ref_23","unstructured":"Miotto, M., Rossberg, N., and Kleinberg, B. (2022). Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS), Association for Computational Linguistics. Available online: https:\/\/aclanthology.org\/2022.nlpcss-1.24.pdf."},{"key":"ref_24","unstructured":"Li, X., Li, Y., Liu, L., Bing, L., and Joty, S. (2022). Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. arXiv."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Rutinowski, J., Franke, S., Endendyk, J., Dormuth, I., and Pauly, M. (2023). The Self-Perception and Political Biases of ChatGPT. arXiv.","DOI":"10.1155\/2024\/7115633"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"106627","DOI":"10.1016\/j.chb.2020.106627","article-title":"Making conversations with chatbots more personalized","volume":"117","author":"Shumanov","year":"2021","journal-title":"Comput. Hum. Behav."},{"key":"ref_27","unstructured":"Jiang, G., Xu, M., Zhu, S.-C., Han, W., Zhang, C., and Zhu, Y. (2022). MPI: Evaluating and Inducing Personality in Pre-trained Language Models. arXiv."},{"key":"ref_28","unstructured":"T\u00f6rnberg, P. (2023). ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning. arXiv."},{"key":"ref_29","unstructured":"Kosinski, M. (2023). Theory of Mind May Have Spontaneously Emerged in Large Language Models. arXiv."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1093\/pan\/mps028","article-title":"Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts","volume":"21","author":"Grimmer","year":"2013","journal-title":"Political Anal."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1038\/s41591-019-0548-6","article-title":"Do no harm: A roadmap for responsible machine learning for healthcare","volume":"25","author":"Wiens","year":"2019","journal-title":"Nat. Med."},{"key":"ref_32","unstructured":"West, C.G. (2023). Advances in apparent conceptual physics reasoning in GPT-4. arXiv."},{"key":"ref_33","unstructured":"(2023, June 22). Rubynor. Free Open-Source BigFive Personality Traits Test. Bigfive. Available online: https:\/\/bigfive-test.com."},{"key":"ref_34","unstructured":"(2023, May 30). Truity. The TypeFinder Personality Test. Truity. Available online: https:\/\/www.truity.com\/test\/type-finder-personality-test-new."},{"key":"ref_35","unstructured":"Dong, W., Zhunis, A., Chin, H., Han, J., and Cha, M. (2024). I Am Not Them: Fluid Identities and Persistent Out-Group Bias in Large Language Models. arXiv."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/15\/6\/300\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:47:49Z","timestamp":1760107669000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/15\/6\/300"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,24]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["info15060300"],"URL":"https:\/\/doi.org\/10.3390\/info15060300","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,24]]}}}