{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T16:12:24Z","timestamp":1772208744151,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:00:00Z","timestamp":1751846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>AI-generated content has grown significantly in recent years. Today, AI-generated and human-made images coexist across various settings, including news media, social platforms, and beyond. However, we still know relatively little about how audiences interpret and evaluate these different types of images. The goal of this study was to examine whether image interpretation is influenced by the origin of the image (AI-generated vs. human-made). Additionally, we aimed to explore whether visual professionalization influences how images are interpreted. To this end, we presented 24 AI-generated images (produced using Midjourney, DALL\u00b7E, and Firefly) and 8 human-made images to 161 participants\u201471 visual professionals and 90 non-professionals. Participants were asked to evaluate each image based on the following: (1) the source they believed the image originated from, (2) the level of realism, and (3) the level of credibility they attributed to it. A total of 5152 responses were collected for each question. Our results reveal that human-made images are more readily recognized as such, whereas AI-generated images are frequently misclassified as human-made. We also find that human-made images are perceived as both more realistic and more credible than AI-generated ones. We conclude that individuals are generally unable to accurately determine the source of an image, which in turn affects their assessment of its credibility.<\/jats:p>","DOI":"10.3390\/jimaging11070227","type":"journal-article","created":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T11:19:27Z","timestamp":1751887167000},"page":"227","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Interpretation of AI-Generated vs. Human-Made Images"],"prefix":"10.3390","volume":"11","author":[{"given":"Daniela","family":"Vel\u00e1squez-Salamanca","sequence":"first","affiliation":[{"name":"M\u00e1ster Universitario en Contenidos de Comunicaci\u00f3n Audiovisual y Publicidad (MUCAP), Universitat Aut\u00f2noma de Barcelona, 08193 Barcelona, Spain"}]},{"given":"Miguel \u00c1ngel","family":"Mart\u00edn-Pascual","sequence":"additional","affiliation":[{"name":"Research and Development, Radio Televisi\u00f3n Espa\u00f1ola Instituto, 08174 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9845-8957","authenticated-orcid":false,"given":"Celia","family":"Andreu-S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Neuro-Com Research Group, Universitat Aut\u00f2noma de Barcelona, 08193 Barcelona, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1002\/jocb.600","article-title":"Artificial Intelligence Creates Art? An Experimental Investigation of Value and Creativity Perceptions","volume":"57","author":"Castrucci","year":"2023","journal-title":"J. Creat. Behav."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1616","DOI":"10.1007\/s00330-018-5674-x","article-title":"Demystification of AI-Driven Medical Image Interpretation: Past, Present and Future","volume":"29","author":"Savadjiev","year":"2019","journal-title":"Eur. Radiol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1038\/s41591-021-01614-0","article-title":"AI in Health and Medicine","volume":"28","author":"Rajpurkar","year":"2022","journal-title":"Nat. Med."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1038\/s41586-025-08675-y","article-title":"Multimodal Generative AI for Medical Image Interpretation","volume":"639","author":"Rao","year":"2025","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1056\/NEJMra2301725","article-title":"The Current and Future State of AI Interpretation of Medical Images","volume":"388","author":"Rajpurkar","year":"2023","journal-title":"N. Engl. J. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ijresmar.2024.09.002","article-title":"The Power of Generative Marketing: Can Generative AI Create Superhuman Visual Marketing Content?","volume":"42","author":"Hartmann","year":"2025","journal-title":"Int. J. Res. Mark."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Quan, H., Li, S., Zeng, C., Wei, H., and Hu, J. (2023). Big Data and AI-Driven Product Design: A Survey. Appl. Sci., 13.","DOI":"10.21203\/rs.3.rs-2899904\/v1"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"113385","DOI":"10.1016\/j.chaos.2023.113385","article-title":"Entropy and Complexity Analysis of AI-Generated and Human-Made Paintings","volume":"170","author":"Papia","year":"2023","journal-title":"Chaos Solitons Fractals"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ostmeyer, J., Schaerf, L., Buividovich, P., Charles, T., Postma, E., and Popovici, C. (2024). Synthetic Images Aid the Recognition of Human-Made Art Forgeries. PLoS ONE, 19.","DOI":"10.1371\/journal.pone.0295967"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Ha, A.Y.J., Passananti, J., Bhaskar, R., Shan, S., Southen, R., Zheng, H., and Zhao, B.Y. (2024, January 14\u201318). Organic or Diffused: Can We Distinguish Human Art from AI-Generated Images?. Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications SEcurity (CCS\u201924), Salt Lake City, UT, USA.","DOI":"10.1145\/3658644.3670306"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.1016\/j.neuroimage.2003.07.018","article-title":"The Musician\u2019s Brain: Functional Imaging of Amateurs and Professionals during Performance and Imagery","volume":"20","author":"Lotze","year":"2003","journal-title":"Neuroimage"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"9240","DOI":"10.1523\/JNEUROSCI.23-27-09240.2003","article-title":"Brain Structures Differ between Musicians and Non-Musicians","volume":"23","author":"Gaser","year":"2003","journal-title":"J. Neurosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"4454","DOI":"10.1002\/hbm.23321","article-title":"Brain Dynamics of Post-Task Resting State Are Influenced by Expertise: Insights from Baseball Players","volume":"37","author":"Muraskin","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1002\/hipo.20233","article-title":"London Taxi Drivers and Bus Drivers: A Structural MRI and Neuropsychological Analysis","volume":"16","author":"Maguire","year":"2006","journal-title":"Hippocampus"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"4398","DOI":"10.1073\/pnas.070039597","article-title":"Navigation-Related Structural Change in the Hippocampi of Taxi Drivers","volume":"97","author":"Maguire","year":"2000","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Andreu-S\u00e1nchez, C., Mart\u00edn-Pascual, M.\u00c1., Gruart, A., and Delgado-Garc\u00eda, J.M. (2017). Eyeblink Rate Watching Classical Hollywood and Post-Classical MTV Editing Styles, in Media and Non-Media Professionals. Sci. Rep., 7.","DOI":"10.1038\/srep43267"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Andreu-S\u00e1nchez, C., Mart\u00edn-Pascual, M.\u00c1., Gruart, A., and Delgado-Garc\u00eda, J.M. (2023). Beta-Band Differences in Primary Motor Cortex between Media and Non-Media Professionals When Watching Motor Actions in Movies. Front. Neurosci., 17.","DOI":"10.3389\/fnins.2023.1204809"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Andreu-S\u00e1nchez, C., Mart\u00edn-Pascual, M.\u00c1., Gruart, A., and Delgado-Garc\u00eda, J.M. (2021). The Effect of Media Professionalization on Cognitive Neurodynamics During Audiovisual Cuts. Front. Syst. Neurosci., 1.","DOI":"10.3389\/fnsys.2021.598383"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Andreu-S\u00e1nchez, C., Ngel Mart\u00edn-Pascual, M., Gruart, A., and Delgado-Garc\u00eda, J.M. (2017). Looking at Reality versus Watching Screens: Media Professionalization Effects on the Spontaneous Eyeblink Rate. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0176030"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4000\/13dwq","article-title":"\u201cPlatform Realism\u201d. AI Image Synthesis and the Rise of Generic Visual Content","volume":"9","author":"Meyer","year":"2025","journal-title":"Transbordeur"},{"key":"ref_21","unstructured":"Andreu-S\u00e1nchez, C., and Mart\u00edn-Pascual, M.\u00c1. (2024). Representaci\u00f3n Visual y Diversidad En La Inteligencia Artificial. Patrimonio y Competencias Digitales en la Sociedad Hiperconectada y Participativa, Dykinson."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1353\/tj.2018.0097","article-title":"Deepfakes, Artificial Intelligence, and Some Kind of Dystopia: The New Faces of Online Post-Fact Performance","volume":"70","author":"Fletcher","year":"2018","journal-title":"Theatre J."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Khodabakhsh, A., Ramachandra, R., and Busch, C. (2019, January 5). Subjective Evaluation of Media Consumer Vulnerability to Fake Audiovisual Content. Proceedings of the 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX), Belin, Germany.","DOI":"10.1109\/QoMEX.2019.8743316"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3407","DOI":"10.1007\/s43681-024-00587-3","article-title":"Appealing, but Misleading: A Warning against a Naive AI Realism","volume":"5","author":"Skulmowski","year":"2025","journal-title":"AI Ethics"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"38999","DOI":"10.1109\/ACCESS.2023.3267968","article-title":"Analysis of Appeal for Realistic AI-Generated Photos","volume":"11","author":"Goring","year":"2023","journal-title":"IEEE Access"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"108079","DOI":"10.1016\/j.visres.2022.108079","article-title":"Are You for Real? Decoding Realistic AI-Generated Faces from Neural Activity","volume":"199","author":"Moshel","year":"2022","journal-title":"Vis. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.cognition.2007.07.017","article-title":"Seeing Is Believing: The Effect of Brain Images on Judgments of Scientific Reasoning","volume":"107","author":"McCabe","year":"2008","journal-title":"Cognition"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/s40593-019-00188-w","article-title":"Impact of an Artificial Intelligence Research Frame on the Perceived Credibility of Educational Research Evidence","volume":"30","author":"Cukurova","year":"2020","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1108\/JSTP-03-2023-0108","article-title":"AI Credibility and Consumer-AI Experiences: A Conceptual Framework","volume":"34","author":"Khan","year":"2024","journal-title":"J. Serv. Theory Pract."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.chb.2017.02.022","article-title":"Intrusion of Software Robots into Journalism: The Public\u2019s and Journalists\u2019 Perceptions of News Written by Algorithms and Human Journalists","volume":"71","author":"Jung","year":"2017","journal-title":"Comput. Hum. Behav."},{"key":"ref_31","unstructured":"Mirbabaie, M., and Stieglitz, S. (2021, January 14\u201316). Do You Trust an AI-Journalist? A Credibility Analysis of News Content with AI-Authorship. Proceedings of the ECIS 2021 Research Papers, Marrakesh, Morocco."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e13570","DOI":"10.1111\/exsy.13570","article-title":"A Review of Deep Learning-Based Approaches for Deepfake Content Detection","volume":"41","author":"Passos","year":"2024","journal-title":"Expert Syst."},{"key":"ref_33","first-page":"134","article-title":"Detection of Fake Images Using Deep Learning","volume":"19","author":"Komali","year":"2024","journal-title":"Tanz"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"21503","DOI":"10.1007\/s00521-021-06086-4","article-title":"Predicting Image Credibility in Fake News over Social Media Using Multi-Modal Approach","volume":"34","author":"Singh","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"ref_35","first-page":"203","article-title":"The Baroque Definition of the Real in Descartes in Light of Su\u00e1rezian Metaphysics","volume":"39","year":"2022","journal-title":"An. Semin. Hist. Filos."},{"key":"ref_36","first-page":"1","article-title":"Credibility of Online Press: A Strategy for Distinction and Audience Generation","volume":"29","year":"2020","journal-title":"Prof. Inf."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1177\/02537176241247934","article-title":"How Sensitive Are the Free AI-Detector Tools in Detecting AI-Generated Texts? A Comparison of Popular AI-Detector Tools","volume":"47","author":"Kar","year":"2025","journal-title":"Indian J. Psychol. Med."},{"key":"ref_38","first-page":"e290309","article-title":"Fake Images of the SARS-CoV-2 Coronavirus in the Communication of Information at the Beginning of the First COVID-19 Pandemic","volume":"29","year":"2020","journal-title":"Prof. Inf."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Andreu-S\u00e1nchez, C., and Mart\u00edn-Pascual, M.\u00c1. (2021). The Attributes of the Images Representing the SARS-CoV-2 Coronavirus Affect People\u2019s Perception of the Virus. PLoS ONE, 16.","DOI":"10.1371\/journal.pone.0253738"},{"key":"ref_40","first-page":"1","article-title":"Scientific Illustrations of SARS-CoV-2 in the Media: An Imagedemic on Screens","volume":"9","year":"2022","journal-title":"Humanit Soc. Sci. Commun."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Doss, C., Mondschein, J., Shu, D., Wolfson, T., Kopecky, D., Fitton-Kane, V.A., Bush, L., and Tucker, C. (2023). Deepfakes and Scientific Knowledge Dissemination. Sci. Rep., 13.","DOI":"10.1038\/s41598-023-39944-3"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Lim, W.M. (2023). Fact or Fake? The Search for Truth in an Infodemic of Disinformation, Misinformation, and Malinformation with Deepfake and Fake News. J. Strateg. Mark., 1\u201337.","DOI":"10.1080\/0965254X.2023.2253805"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Gortler, S.J., and Myszkowski, K. (2011). Measuring the Perception of Visual Realism in Images. Proceedings of the Rendering Techniques 2001. EGSR 2001. Eurographics, Springer.","DOI":"10.1007\/978-3-7091-6242-2"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2185520.2185580","article-title":"Understanding and Improving the Realism of Image Composites","volume":"31","author":"Xue","year":"2012","journal-title":"ACM Trans. Graph."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.tics.2021.02.008","article-title":"The Treachery of Images: How Realism Influences Brain and Behavior","volume":"25","author":"Snow","year":"2021","journal-title":"Trends Cogn. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"107383","DOI":"10.1016\/j.chb.2022.107383","article-title":"Perceived Credibility of an AI Instructor in Online Education: The Role of Social Presence and Voice Features","volume":"136","author":"Kim","year":"2022","journal-title":"Comput. Hum. Behav."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/0304-422X(94)00014-W","article-title":"Emotion in Aesthetics: Reactive and Reflective Models","volume":"23","author":"Cupchik","year":"1994","journal-title":"Poetics"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1348\/0007126042369811","article-title":"A Model of Aesthetic Appreciation and Aesthetic Judgments","volume":"95","author":"Leder","year":"2004","journal-title":"Br. J. Psychol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1179\/019713696806113676","article-title":"The Artist\u2019s Intentions and the Intentional Fallacy in Fine Arts Conservation","volume":"35","author":"Dykstra","year":"1996","journal-title":"J. Am. Inst. Conserv."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1037\/1089-2680.9.4.342","article-title":"Emotional Responses to Art: From Collation and Arousal to Cognition and Emotion","volume":"9","author":"Silvia","year":"2005","journal-title":"Rev. Gen. Psychol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1111\/bjop.12084","article-title":"Ten Years of a Model of Aesthetic Appreciation and Aesthetic Judgments: The Aesthetic Episode\u2014Developments and Challenges in Empirical Aesthetics","volume":"105","author":"Leder","year":"2014","journal-title":"Br. J. Psychol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/978-3-030-63823-8_78","article-title":"Variable-Depth Convolutional Neural Network for Text Classification","volume":"Volume 5","author":"Chan","year":"2020","journal-title":"Neural Information Processing"},{"key":"ref_53","first-page":"1","article-title":"Speech Emotion Recognition Based on Graph-LSTM Neural Network","volume":"40","author":"Li","year":"2023","journal-title":"EURASIP J. Audio Speech Music Process"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.bandc.2008.08.004","article-title":"Brain Correlates of Aesthetic Expertise: A Parametric FMRI Study","volume":"69","author":"Kirk","year":"2008","journal-title":"Brain Cogn"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Bruny\u00e9, T.T., Carney, P.A., Allison, K.H., Shapiro, L.G., Weaver, D.L., and Elmore, J.G. (2014). Eye Movements as an Index of Pathologist Visual Expertise: A Pilot Study. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0103447"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Ericksson, K.A., Charness, N., Feltovich, P.J., and Hoffman, R.R. (2006). Brain Changes in the Development of Expertise: Neuroanatomical and Neurophysiological Evidence about Skill-Based Adaptations. The Cambridge Handbook of Expertise and Expert Performance, Cambridge University Press.","DOI":"10.1017\/CBO9780511816796"}],"container-title":["Journal of Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2313-433X\/11\/7\/227\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:06:08Z","timestamp":1760033168000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2313-433X\/11\/7\/227"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,7]]},"references-count":56,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["jimaging11070227"],"URL":"https:\/\/doi.org\/10.3390\/jimaging11070227","relation":{},"ISSN":["2313-433X"],"issn-type":[{"value":"2313-433X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,7]]}}}