{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:19:35Z","timestamp":1783181975889,"version":"3.54.6"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32130045"],"award-info":[{"award-number":["32130045"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32361163611"],"award-info":[{"award-number":["32361163611"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113822","type":"journal-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T16:36:07Z","timestamp":1777307767000},"page":"113822","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["CMDPAD: A Chinese multimodal dynamic personality and affect dataset for affect prediction in conversations"],"prefix":"10.1016","volume":"179","author":[{"given":"Zisen","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuefei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhua","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengqi","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changsheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Lian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinming","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingsen","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaozheng","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.patcog.2026.113822_b1","first-page":"203","article-title":"Facial expressions are contagious","volume":"9","author":"LUNDQVIST","year":"1995","journal-title":"J. Psychophysiol."},{"issue":"1875","key":"10.1016\/j.patcog.2026.113822_b2","doi-asserted-by":"crossref","DOI":"10.1098\/rstb.2021.0472","article-title":"Neural mechanisms for emotional contagion and spontaneous mimicry of live facial expressions","volume":"378","author":"Hirsch","year":"2023","journal-title":"Philosophical Trans. R. Soc. B-Biological Sci."},{"issue":"2","key":"10.1016\/j.patcog.2026.113822_b3","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1037\/a0028723","article-title":"To have and to hold: Gratitude promotes relationship maintenance in intimate bonds","volume":"103","author":"Gordon","year":"2012","journal-title":"J. Pers. Soc. Psychol."},{"key":"10.1016\/j.patcog.2026.113822_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.jesp.2024.104600","article-title":"(Not) showing you feel good, can be bad: The consequences of breaking expressivity norms for positive emotions","volume":"113","author":"Manokara","year":"2024","journal-title":"J. Exp. Soc. Psychol."},{"issue":"11","key":"10.1016\/j.patcog.2026.113822_b5","doi-asserted-by":"crossref","first-page":"1988","DOI":"10.3724\/SP.J.1041.2025.1988","article-title":"Emotional capabilities evaluation of multimodal large language model in dynamic social interaction scenarios","volume":"57","author":"Zhou","year":"2025","journal-title":"Acta Psychol. Sin."},{"key":"10.1016\/j.patcog.2026.113822_b6","series-title":"Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligence","article-title":"Emotional chatting machine: Emotional conversation generation with internal and external memory","author":"Zhou","year":"2018"},{"key":"10.1016\/j.patcog.2026.113822_b7","series-title":"2024 IEEE 14TH International Symposium on Chinese Spoken Language Processing, ISCSLP 2024","first-page":"586","article-title":"E-chat: Emotion-sensitive spoken dialogue system with large language models","author":"Xue","year":"2024"},{"issue":"10","key":"10.1016\/j.patcog.2026.113822_b8","doi-asserted-by":"crossref","first-page":"6729","DOI":"10.1109\/TPAMI.2021.3094362","article-title":"Affective image content analysis: Two decades review and new perspectives","volume":"44","author":"Zhao","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"10.1016\/j.patcog.2026.113822_b9","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1109\/JPROC.2023.3309299","article-title":"Toward label-efficient emotion and sentiment analysis","volume":"111","author":"Zhao","year":"2023","journal-title":"Proc. IEEE"},{"issue":"4","key":"10.1016\/j.patcog.2026.113822_b10","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1109\/TAFFC.2016.2628787","article-title":"Predicting personalized image emotion perceptions in social networks","volume":"9","author":"Zhao","year":"2018","journal-title":"IEEE Trans. Affect. Comput."},{"key":"10.1016\/j.patcog.2026.113822_b11","doi-asserted-by":"crossref","first-page":"100943","DOI":"10.1109\/ACCESS.2019.2929050","article-title":"Emotion recognition in conversation: Research challenges, datasets, and recent advances","volume":"7","author":"Poria","year":"2019","journal-title":"IEEE Access"},{"issue":"23","key":"10.1016\/j.patcog.2026.113822_b12","doi-asserted-by":"crossref","first-page":"5982","DOI":"10.1073\/pnas.1616056114","article-title":"Mental models accurately predict emotion transitions","volume":"114","author":"Thornton","year":"2017","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"1","key":"10.1016\/j.patcog.2026.113822_b13","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1037\/0022-3514.61.1.132","article-title":"Personality and susceptibility to positive and negative emotional states","volume":"61","author":"LARSEN","year":"1991","journal-title":"J. Pers. Soc. Psychol."},{"issue":"1","key":"10.1016\/j.patcog.2026.113822_b14","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1177\/0146167298241007","article-title":"Person-environment fit and its limits: Agreeableness, neuroticism, and emotional reactivity to interpersonal conflict","volume":"24","author":"Suls","year":"1998","journal-title":"Pers. Soc. Psychol. Bull."},{"key":"10.1016\/j.patcog.2026.113822_b15","series-title":"Noba Textbook Series: Psychology","first-page":"4","article-title":"Personality traits","author":"Diener","year":"2020"},{"issue":"4","key":"10.1016\/j.patcog.2026.113822_b16","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1037\/pspp0000519","article-title":"Are state-trait fit and state-situation fit relevant for within-person dynamics of personality states?","volume":"127","author":"Kritzler","year":"2024","journal-title":"J. Pers. Soc. Psychol."},{"issue":"1","key":"10.1016\/j.patcog.2026.113822_b17","doi-asserted-by":"crossref","first-page":"27386","DOI":"10.1525\/collabra.27386","article-title":"Be yourself and behave appropriately: Exploring associations between incongruent personality states and positive affect, tiredness, and cognitive performance","volume":"7","author":"Kritzler","year":"2021","journal-title":"Collabra: Psychol."},{"key":"10.1016\/j.patcog.2026.113822_b18","series-title":"Big Five Ass.","first-page":"281","article-title":"Analyzing personality-related adjectives from an etic-emic perspective: The big five marker scales (BFMS) and the Italian AB5c tax","author":"Perugini","year":"2002"},{"issue":"2","key":"10.1016\/j.patcog.2026.113822_b19","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1109\/TAFFC.2018.2884461","article-title":"AMIGOS: A dataset for affect, personality and mood research on individuals and groups","volume":"12","author":"Miranda-Correa","year":"2021","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"1","key":"10.1016\/j.patcog.2026.113822_b20","doi-asserted-by":"crossref","first-page":"117+","DOI":"10.1037\/pspp0000096","article-title":"The next big five inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power","volume":"113","author":"Soto","year":"2017","journal-title":"J. Pers. Soc. Psychol."},{"key":"10.1016\/j.patcog.2026.113822_b21","series-title":"The Thirty-Ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track","article-title":"egoEMOTION: Egocentric vision and physiological signals for emotion and personality recognition in real-world tasks","author":"Jammot","year":"2025"},{"issue":"5","key":"10.1016\/j.patcog.2026.113822_b22","doi-asserted-by":"crossref","DOI":"10.1145\/3655616","article-title":"Personality-affected emotion generation in dialogue systems","volume":"42","author":"Wen","year":"2024","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.patcog.2026.113822_b23","series-title":"CPED: A large-scale Chinese personalized and emotional dialogue dataset for conversational AI","author":"Chen","year":"2022"},{"issue":"01","key":"10.1016\/j.patcog.2026.113822_b24","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1109\/TAFFC.2025.3637088","article-title":"Bridging speech emotion recognition and personality: Dataset and temporal interaction condition network","volume":"17","author":"Gao","year":"2026","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"9","key":"10.1016\/j.patcog.2026.113822_b25","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1037\/amp0001108","article-title":"A generalizable framework for assessing the role of emotion during choice","volume":"77","author":"FeldmanHall","year":"2022","journal-title":"Am. Psychol."},{"issue":"10","key":"10.1016\/j.patcog.2026.113822_b26","doi-asserted-by":"crossref","first-page":"3505","DOI":"10.1093\/cercor\/bhx216","article-title":"Theories of person perception predict patterns of neural activity during mentalizing","volume":"28","author":"Thornton","year":"2018","journal-title":"Cerebral Cortex"},{"issue":"3875","key":"10.1016\/j.patcog.2026.113822_b27","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1126\/science.164.3875.86","article-title":"Pan-cultural elements in facial displays of emotion","volume":"164","author":"EKMAN","year":"1969","journal-title":"Science"},{"key":"10.1016\/j.patcog.2026.113822_b28","series-title":"Proceedings of the 33rd ACM International Conference on Multimedia","article-title":"Benchmarking and bridging emotion conflicts for multimodal emotion reasoning","author":"Han","year":"2025"},{"key":"10.1016\/j.patcog.2026.113822_b29","series-title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Vol 1: (Long Papers)","first-page":"5699","article-title":"M3ED: Multi-modal multi-scene multi-label emotional dialogue database","author":"Zhao","year":"2022"},{"issue":"05","key":"10.1016\/j.patcog.2026.113822_b30","doi-asserted-by":"crossref","first-page":"5793","DOI":"10.1109\/TPAMI.2026.3653457","article-title":"MERBench: A unified evaluation benchmark for multimodal emotion recognition","volume":"48","author":"Lian","year":"2026","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"06","key":"10.1016\/j.patcog.2026.113822_b31","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MIS.2016.94","article-title":"Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages","volume":"31","author":"Zadeh","year":"2016","journal-title":"IEEE Intell. Syst."},{"key":"10.1016\/j.patcog.2026.113822_b32","doi-asserted-by":"crossref","unstructured":"S. Zafeiriou, D. Kollias, M.A. Nicolaou, A. Papaioannou, G. Zhao, I. Kotsia, Aff-Wild: Valence and Arousal \u2018in-the-wild\u2019 Challenge, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, (ISSN: 2160-7508) ISBN: 978-1-5386-0733-6, 2017, pp. 1980\u20131987, http:\/\/dx.doi.org\/10.1109\/CVPRW.2017.248.","DOI":"10.1109\/CVPRW.2017.248"},{"issue":"4","key":"10.1016\/j.patcog.2026.113822_b33","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/s10579-008-9076-6","article-title":"IEMOCAP: interactive emotional dyadic motion capture database","volume":"42","author":"Busso","year":"2008","journal-title":"Lang. Resour. Eval."},{"issue":"1","key":"10.1016\/j.patcog.2026.113822_b34","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/0005-7916(94)90063-9","article-title":"Measuring emotion - the self-assessment mannequin and the semantic differential","volume":"25","author":"BRADLEY","year":"1994","journal-title":"J. Behav. Ther. Exp. Psychiatry"},{"key":"10.1016\/j.patcog.2026.113822_b35","series-title":"Advancing face-to-face emotion communication: A multimodal dataset (AFFEC)","author":"Sekiavandi","year":"2025"},{"issue":"2","key":"10.1016\/j.patcog.2026.113822_b36","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1109\/TAFFC.2016.2625250","article-title":"ASCERTAIN: Emotion and personality recognition using commercial sensors","volume":"9","author":"Subramanian","year":"2018","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"1","key":"10.1016\/j.patcog.2026.113822_b37","doi-asserted-by":"crossref","DOI":"10.1038\/s41597-025-06214-y","article-title":"An enhanced valence-arousal multimodal emotion dataset for emotion recognition","volume":"12","author":"Huang","year":"2025","journal-title":"Sci. Data"},{"key":"10.1016\/j.patcog.2026.113822_b38","series-title":"2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW)","first-page":"1","article-title":"Context-mare personality inference in dyadic scenarios: Introducing the UDIVA dataset","author":"Palmero","year":"2021"},{"issue":"2","key":"10.1016\/j.patcog.2026.113822_b39","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2044-8309.1992.tb00959.x","article-title":"Do people believe behaviours are consistent with attitudes? Towards a cultural psychology of attribution processes","volume":"31","author":"Kashima","year":"1992","journal-title":"Br. J. Soc. Psychol."},{"issue":"4","key":"10.1016\/j.patcog.2026.113822_b40","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1177\/0022022197284003","article-title":"Self-enhancement, generality of self-evaluation, and affectivity in Israel and Singapore","volume":"28","author":"Kurman","year":"1997","journal-title":"J. Cross-Cultural Psychol."},{"issue":"3","key":"10.1016\/j.patcog.2026.113822_b41","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1177\/0022022104264122","article-title":"Standardization to account for cross-cultural response bias: A classification of score adjustment procedures and review of research in JCCP","volume":"35","author":"Fischer","year":"2004","journal-title":"J. Cross-Cultural Psychol."},{"key":"10.1016\/j.patcog.2026.113822_b42","series-title":"Handbook of personality: Theory and research","first-page":"114","article-title":"Paradigm shift to the integrative big five trait taxonomy","volume":"vol. 3","author":"John","year":"2008"},{"key":"10.1016\/j.patcog.2026.113822_b43","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"2191","article-title":"PSA-MF: Personality-sentiment aligned multi-level fusion for multimodal sentiment analysis","volume":"vol. 40","author":"Xie","year":"2026"},{"key":"10.1016\/j.patcog.2026.113822_b44","series-title":"International Conference on Machine Learning","first-page":"28492","article-title":"Robust speech recognition via large-scale weak supervision","author":"Radford","year":"2023"},{"key":"10.1016\/j.patcog.2026.113822_b45","series-title":"Funaudiollm: Voice understanding and generation foundation models for natural interaction between humans and llms","author":"An","year":"2024"},{"key":"10.1016\/j.patcog.2026.113822_b46","series-title":"Interspeech 2022","first-page":"2063","article-title":"Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to-end speech recognition","author":"Gao","year":"2022"},{"key":"10.1016\/j.patcog.2026.113822_b47","series-title":"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)","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019"},{"key":"10.1016\/j.patcog.2026.113822_b48","first-page":"12449","article-title":"Wav2vec 2.0: A framework for self-supervised learning of speech representations","volume":"33","author":"Baevski","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.patcog.2026.113822_b49","series-title":"Fine-tuned XLSR-53 large model for speech recognition in Chinese","author":"Grosman","year":"2021"},{"issue":"9","key":"10.1016\/j.patcog.2026.113822_b50","doi-asserted-by":"crossref","first-page":"10745","DOI":"10.1109\/TPAMI.2023.3263585","article-title":"Dawn of the transformer era in speech emotion recognition: closing the valence gap","volume":"45","author":"Wagner","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113822_b51","series-title":"International Conference on Learning Representations","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"10.1016\/j.patcog.2026.113822_b52","doi-asserted-by":"crossref","unstructured":"Z. Liu, H. Mao, C.-Y. Wu, C. Feichtenhofer, T. Darrell, S. Xie, A convnet for the 2020s, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 11976\u201311986.","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"10.1016\/j.patcog.2026.113822_b53","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326007879?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326007879?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T15:59:08Z","timestamp":1783180748000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326007879"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":53,"alternative-id":["S0031320326007879"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113822","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CMDPAD: A Chinese multimodal dynamic personality and affect dataset for affect prediction in conversations","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113822","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113822"}}