Advances in Psychological Science ›› 2024, Vol. 32 ›› Issue (12): 2050-2066.doi: 10.3724/SP.J.1042.2024.02050
• Research Method • Previous Articles Next Articles
SHUI Xinyu1, XIAO Yaheng1, CHEN Jingjing2, HU Xin1, ZHANG Dan1()
Received:
2023-11-14
Online:
2024-12-15
Published:
2024-09-24
Contact:
ZHANG Dan
E-mail:dzhang@tsinghua.edu.cn
CLC Number:
SHUI Xinyu, XIAO Yaheng, CHEN Jingjing, HU Xin, ZHANG Dan. A profile-perspective on daily-life multi-situational individual differences assessment[J]. Advances in Psychological Science, 2024, 32(12): 2050-2066.
[1] |
侯婷婷, 陈潇, 孔德彭, 邵秀筠, 林丰勋, 李开云. (2022). 机器学习在自闭症儿童早期识别和诊断领域的应用. 心理科学进展, 30(10), 2321-2337.
doi: 10.3724/SP.J.1042.2022.02321 |
[2] | 侯艳天, 朱海东, 石耀慧, 贾晓珊. (2022). 大学生社交焦虑的潜在剖面及影响因素. 中国健康心理学杂志, 30(9), 1406-1412. |
[3] | 温忠麟, 谢晋艳, 王惠惠. (2023). 潜在类别模型的原理、步骤及程序. 华东师范大学学报(教育科学版), 41(1), 1-15. https://doi.org/10.16382/j.cnki.1000-5560.2023.01.001 |
[4] |
吴凡, 胡月琴. (2023). 人格动态性: 过程与特质整合视角. 心理科学进展, 31(7), 1269-1287.
doi: 10.3724/SP.J.1042.2023.01269 |
[5] |
郑舒方, 张沥今, 乔欣宇, 潘俊豪. (2021). 密集追踪数据分析: 模型及其应用. 心理科学进展, 29(11), 1948-1969.
doi: 10.3724/SP.J.1042.2021.01948 |
[6] | Adolphe M., Sawayama M., Maurel D., Delmas A., Oudeyer P., & Sauzéon H. (2022). An open-source cognitive test battery to assess human attention and memory. Frontiers in Psychology, 13, 880375. https://doi.org/10.3389/fpsyg.2022.880375 |
[7] | Adorni G. (2023). Neural networks for learning personality traits from natural language. arXiv.org. |
[8] | Ahmet A. K., Akarun L., & Aran O. (2017). Multi-domain and multi-task prediction of extraversion and leadership from meeting videos. EURASIP Journal on Image and Video Processing, 2017(1), 1-14. https://doi.org/10.1186/s13640-017-0224-z |
[9] | Alexander III L., Mulfinger E., & Oswald F. L. (2020). Using big data and machine learning in personality measurement: Opportunities and challenges. European Journal of Personality, 34(5), 632-648. https://doi.org/10.1002/per.2305 |
[10] | Allport G. W., & Odbert H. S. (1936). Trait-names: A psycho- lexical study. Psychological Monographs, 47(1), 171. https://doi.org/10.1037/h0093360 |
[11] | Antoine P., Dauvier B., Andreotti E., & Congard A. (2018). Individual differences in the effects of a positive psychology intervention: Applied psychology. Personality and Individual Differences, 122, 140-147. |
[12] | Arriaga O., Plöger P., & Valdenegro-Toro M. (2017). Image captioning and classification of dangerous situations. arXiv. org. |
[13] | Asparouhov T., Hamaker E. L., & Muthén B. (2018). Dynamic structural equation models. Structural Equation Modeling, 25(3), 359-388 |
[14] | Azucar D., Marengo D., & Settanni M. (2018). Predicting the big 5 personality traits from digital footprints on social media: A meta-analysis. Personality and Individual Differences, 124, 150-159. |
[15] | Baker S. J., Maurissen J. P., & Chrzan G. J. (1986). Simple reaction time and movement time in normal human volunteers: A long-term reliability study. Perceptual and Motor Skills, 63(2), 767-774. https://doi.org/10.2466/pms.1986.63.2.767 |
[16] | Barker R. G., & Wright H. F. (1951). One boy’s day. A specimen record of behavior. Harper & Row. |
[17] | Bauer D. J. (2011). Evaluating individual differences in psychological processes. Current Directions in Psychological Science, 20(2), 115-118. |
[18] | Berggren M., Kaati L., Pelzer B., Stiff H., Lundmark L., & Akrami N. (2024). The generalizability of machine learning models of personality across two text domains. Personality and Individual Differences, 217, 1-7. https://doi.org/10.1016/j.paid.2023.112465 |
[19] | Bergman L. R., & Trost K. (2006). The person-oriented versus the varia-ble-oriented approach: Are they complementary, opposites, or exploring different worlds? Merrill-Palmer Quarterly, 52(3), 601-632. https://doi.org/10.1353/mpq.2006.0023 |
[20] | Bergman L. R., & Wångby M. (2014). The person-oriented approach: A short theoretical and practical guide. Estonian Journal of Education, 2(1), 29-49. https://doi.org/10.12697/eha.2014.2.1.02b |
[21] |
Bi Y., Abrol A., Fu Z., & Calhoun V. (2022). Deep learning prediction and visualization of gender related brain changes from longitudinal structural MRI data in the ABCD study. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2022, 3814-3817.
doi: 10.1109/EMBC48229.2022.9871150 pmid: 36086576 |
[22] | Bieker F. (2022). The right to data protection: Individual and structural dimensions of data protection in EU law. The Hague: T.M.C. Asser Press. |
[23] | Bond M. H., & Wickham R. E. (2023). Using dynamic structural equation modeling to examine between- and within- persons factor structure of the DASS-21. Assessment, 30(7), 2115-2127. https://doi.org/10.1177/10731911221137541 |
[24] | Boogert N. J., Madden J. R., Morand-Ferron J., & Thornton A. (2018). Measuring and understanding individual differences in cognition. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 373(1756). https://doi.org/10.1098/rstb.2017.0280 |
[25] | Brose A., Neubauer A. B., & Schmiedek F. (2022). Integrating state dynamics and trait change: A tutorial using the example of stress reactivity and change in well-being. European Journal of Personality, 36(2), 180-199. https://doi.org/10.1177/08902070211014055 |
[26] | Brown N. A., Blake A. B., & Sherman R. A. (2017). A snapshot of the life as lived: Wearable cameras in social and personality psychological science. Social Psychological and Personality Science, 8(5), 592-600. https://doi.org/10.1177/1948550617703170 |
[27] | Caputo A. (2017). Social desirability bias in self-reported well-being measures: Evidence from an online survey. Universitas Psychologica, 16(2). https://doi.org/10.11144/Javeriana.upsy16-2.sdsw |
[28] | Chen P.-H. A., Jolly E., Cheong J. H., & Chang L. J. (2020). Intersubject representational similarity analysis reveals individual variations in affective experience when watching erotic movies. NeuroImage, 216, 116851. https://doi.org/10.1016/j.neuroimage.2020.116851 |
[29] | Chiba Y., & Higashinaka R. (2023). Dialogue situation recognition in everyday conversation from audio, visual, and linguistic information. IEEE Access, 11, 70819-70832. https://doi.org/10.1109/ACCESS.2023.3293846 |
[30] |
Clark L. A., & Watson D. (1988). Mood and the mundane: Relations between daily life events and self-reported mood. Journal of Personality and Social Psychology, 54(2), 296-308. https://doi.org/10.1037/0022-3514.54.2.296
URL pmid: 3346815 |
[31] | Cohen S., & Hamrick N. (2003). Stable individual differences in physiological response to stressors: Implications for stress-elicited changes in immune related health. Brain, Behavior, and Immunity, 17(6), 407-414. https://doi.org/10.1016/S0889-1591(03)00110-7 |
[32] | Costa P. T., & McCrae R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653-665. https://doi.org/10.1016/0191-8869(92)90236-I |
[33] |
Darzi A., Wondra T., McCrea S., & Novak D. (2019). Classification of multiple psychological dimensions in computer game players using physiology, performance, and personality characteristics. Frontiers in Neuroscience, 13, 1278. https://doi.org/10.3389/fnins.2019.01278
doi: 10.3389/fnins.2019.01278 URL pmid: 31849589 |
[34] | Dávid B., Láncz G., & Hunyady G. (2019). Highway situation analysis with scenario classification and neural network based risk estimation for autonomous vehicles. IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, Herl’any, Slovakia. |
[35] | Davidson K. (2007). Cognitive therapy for personality disorders: A guide for clinicians. Taylor & Francis Group. |
[36] | Dawes A. J., Keogh R., Andrillon T., & Pearson J. (2020). A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-65705-7 |
[37] | Dubois J., Galdi P., Paul L. K., & Adolphs R. (2018). A distributed brain network predicts general intelligence from resting-state human neuroimaging data. Philosophical Transactions of the Royal Society of London.Series B, Biological Sciences, 373(1756). https://doi.org/10.1098/rstb.2017.0284 |
[38] |
Epstein S., & O'Brien E. J. (1985). The person-situation debate in historical and current perspective. Psychological Bulletin, 98(3), 513-537.
pmid: 4080897 |
[39] | Eysenck H. J., & Eysenck S. B. G. (1969). Personality structure and measurement. London Routledge & Kegan Paul. |
[40] | Favini A., Gerbino M., Eisenberg N., Lunetti C., & Thartori E. (2018). Personality profiles and adolescents' maladjustment: A longitudinal study. Personality and Individual Differences, 129, 119-125. |
[41] | Finn E. S., Glerean E., Khojandi A. Y., Nielson D., Molfese P. J., Handwerker D. A., & Bandettini P. A. (2020). Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging. NeuroImage, 215, 12. https://doi.org/10.1016/j.neuroimage.2020.116828 |
[42] |
Fiske D. W. (1949). Consistency of the factorial structures of personality ratings from different sour sources. Journal of Abnormal Psychology, 44(3), 329-344.
pmid: 18146776 |
[43] |
Fleeson W. (2001). Toward a structure- and process-integrated view of personality: Traits as density distributions of states. Journal of Personality and Social Psychology, 80(6), 1011-1027.
pmid: 11414368 |
[44] | Fleeson W. (2004). Moving personality beyond the person- situation debate: The challenge and the opportunity of within-person variability. Current Directions in Psychological Science, 13(2), 83-87. https://doi.org/10.1111/j.0963-7214.2004.00280.x |
[45] |
Fleeson W., & Jayawickreme E. (2015). Whole trait theory. Journal of Research in Personality, 56, 82-92.
pmid: 26097268 |
[46] | Fleeson W., & Noftle E. (2008). The end of the person- situation debate: An emerging synthesis in the answer to the consistency question. Social and Personality Psychology Compass, 2(4), 1667-1684. |
[47] | Fossati A. (2011). Towards an approach to mental disorders based on individual differences. World Psychiatry, 10(2), 115-116. |
[48] |
Friend S. H., Ginsburg G. S., & Picard R. W. (2023). Wearable digital health technology. The New England Journal of Medicine, 389(22), 2100-2101. https://doi.org/10.1056/NEJMe2303219
doi: 10.1056/NEJMe2303219 URL pmid: 38048193 |
[49] | Fu Z., Zhang B., He X., Li Y., Wang H., & Huang J. (2022). Emotion recognition based on multi-modal physiological signals and transfer learning. Frontiers in Neuroscience, 16, 1000716. https://doi.org/10.3389/fnins. 2022.1000716 |
[50] | Funder D. C. (2016). Taking situations seriously: The situation construal model and the riverside situational Q-sort. Current Directions in Psychological Science, 25(3), 203-208. |
[51] | Furr R. M., & Funder D. C. (2021). Persons, situations, and person-situation interactions. In O. P.John, & R. W.Robins (Eds.) Handbook of personality: Theory and research (4th ed., pp. 667-685). The Guilford Press. |
[52] | Fusar-Poli P., Salazar de Pablo G., De Micheli A., Nieman D. H., Correll C. U., Kessing L. V.,... van Amelsvoort T. (2020). What is good mental health? A scoping review. European Neuropsychopharmacology, 31, 33-46. https://doi.org/10.1016/j.euroneuro.2019.12.105 |
[53] |
Gonzalez-Heydrich J. (1993). Using neural networks to model personality development. Medical Hypotheses, 41(2), 123-130.
pmid: 8231990 |
[54] | Hall J., & Malmberg L.-E. (2020). The contribution of multilevel structural equation modelling to contemporary trends in educational research. International Journal of Research & Method in Education, 43(4), 339-347. https://doi.org/10.1080/1743727X.2020.1796066 |
[55] |
Hallam K. T., Bilsborough S., & de Courten M. (2018). "Happy feet": Evaluating the benefits of a 100-day 10, 000 step challenge on mental health and wellbeing. BMC Psychiatry, 18(1), 19. https://doi.org/10.1186/s12888-018- 1609-y
doi: 10.1186/s12888-018-1609-y URL pmid: 29361921 |
[56] |
Han W., Feng X., Zhang M., Peng K., & Zhang D. (2019). Mood states and everyday creativity: Employing an experience sampling method and a day reconstruction method. Frontiers in Psychology, 10, 1698. https://doi.org/10.3389/fpsyg.2019.01698
doi: 10.3389/fpsyg.2019.01698 URL pmid: 31379699 |
[57] | Hasson C. J., & Jalili P. F. (2019). Visual dynamics cues in learning complex physical interactions. Scientific Reports, 9, 1-10. https://doi.org/10.1038/s41598-019-49637-5 |
[58] |
Hasson U., Nir Y., Levy I., Fuhrmann G., & Malach R. (2004). Intersubject synchronization of cortical activity during natural vision. Science, 303(5664), 1634-1640. https://doi.org/10.1126/science.1089506
URL pmid: 15016991 |
[59] |
Heller A. S., Shi T. C., Ezie C. E. C., Reneau T. R., Baez L. M., Gibbons C. J., & Hartley C. A. (2020). Association between real-world experiential diversity and positive affect relates to hippocampal-striatal functional connectivity. Nature Neuroscience, 23(7), 800-804. https://doi.org/10.1038/s41593-020-0636-4
doi: 10.1038/s41593-020-0636-4 URL pmid: 32424287 |
[60] | Hoemann K., Khan Z., Feldman M. J., Nielson C., Devlin M., Dy J.,... Quigley K. S. (2020). Context-aware experience sampling reveals the scale of variation in affective experience. Scientific Report, 10(1), 12459. https://doi.org/10.1038/s41598-020-69180-y |
[61] | Hogan R. (2009). Much ado about nothing: The person- situation debate. Journal of Research in Personality, 43(2), 249. |
[62] | Hopwood C. J., Schwaba T., & Bleidorn W. (2021). Personality changes associated with increasing environmental concerns. Journal of Environmental Psychology, 77, 101684. https://doi.org/10.1016/j.jenvp.2021.101684 |
[63] |
Houben M., Van Den Noortgate W., & Kuppens P. (2015). The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. Psychological Bulletin, 141(4), 901-930. https://doi.org/10.1037/a0038822
doi: 10.1037/a0038822 URL pmid: 25822133 |
[64] | Hox J. J. (2013). Multilevel regression and multilevel structural equation modeling. In T. D.Little (Ed.), The Oxford Handbook of quantitative methods: Statistical analysis (pp. 281-294). Oxford University Press. |
[65] | Hsueh B., Chen R., Jo Y., Tang D., Raffiee M., Kim Y. S.,... Deisseroth K. (2023). Cardiogenic control of affective behavioural state. Nature, 615(7951), 292-299. https://doi.org/10.1038/s41586-023-05748-8 |
[66] | Hu C., Zhu K., Huang K., Yu B., Jiang W., Peng K., & Wang F. (2022). Using natural intervention to promote subjective well-being of essential workers during public- health crises: A study during COVID-19 pandemic. Journal of Environmental Psychology, 79, 101745. https://doi.org/10.1016/j.jenvp.2021.101745 |
[67] | Hu X., Wang F., & Zhang D. (2022). Similar brains blend emotion in similar ways: Neural representations of individual difference in emotion profiles. NeuroImage, 247, 118819. https://doi.org/10.1016/j.neuroimage.2021.118819 |
[68] | Huff M., & Papenmeier F. (2017). Event perception: From event boundaries to ongoing events. Journal of Applied Research in Memory and Cognition, 6(2), 129-132. https://doi.org/10.1016/j.jarmac.2017.01.003 |
[69] | Ilmini W. M. K. S., & Fernando T. G. I. (2017). Computational personality traits assessment:A review. IEEE 2017 International Conference on Industrial and Information Systems. Peradeniya, Sri Lanka. |
[70] |
Kahneman D., Krueger A., Schkade D. A., Schwarz N., & Stone A. A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science, 306(5702), 1776-80.
doi: 10.1126/science.1103572 pmid: 15576620 |
[71] | Kar K., Kornblith S., & Fedorenko E. (2022). Interpretability of artificial neural network models in artificial intelligence versus neuroscience. Nature Machine Intelligence, 4(12), 1065-1067. https://doi.org/10.1038/s42256-022-00592-3 |
[72] | Karcher N. R., & Barch D. M. (2021). The ABCD study: Understanding the development of risk for mental and physical health outcomes. Neuropsychopharmacology, 46(1), 131-142. https://doi.org/10.1038/s41386-020-0736-6 |
[73] | Khowaja S. A., Yahya B. N., & Lee S. (2020). CAPHAR: Context-aware personalized human activity recognition using associative learning in smart environments. Human- Centric Computing and Information Sciences, 10(1). https://doi.org/10.1186/s13673-020-00240-y |
[74] | Kosinski M., Stillwell D., & Graepel T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences of the United States of America, 110(15), 5802-5805. https://doi.org/10.1073/pnas.1218772110 |
[75] | Kotakehara Y., Kakusho K., Nishiguchi S., Iiyama M., Murakami M. (2019). The Classification of Different Situations in a Lecture Based on Students’ Observed Postures. In: RauP. L. (Ed.), Cross-cultural design. culture and society. Springer, Cham. |
[76] | Krahé B. (1991). Situation cognition and coherence in personality - An individual-centred approach. Cambridge University Press. |
[77] |
Kriegeskorte N., Mur M., & Bandettini P. (2008). Representational similarity analysis - Connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2, 4. https://doi.org/10.3389/neuro.06.004.2008
doi: 10.3389/neuro.06.004.2008 URL pmid: 19104670 |
[78] |
Kuper N., von Garrel A. S., Wiernik B. M., Phan L. V., Modersitzki N., & Rauthmann J. F. (2023). Distinguishing four types of person × situation interactions: An integrative framework and empirical examination. Journal of Personality and Social Psychology, 126(2), 282-311. https://doi.org/10.1037/pspp0000473
doi: 10.1037/pspp0000473 URL pmid: 37668571 |
[79] |
Kuppens P., & Verduyn P. (2017). Emotion dynamics. Current Opinion in Psychology, 17, 22-26. https://doi.org/10.1016/j.copsyc.2017.06.004
doi: S2352-250X(16)30201-9 URL pmid: 28950968 |
[80] |
Kupper N., Jankovic M., & Kop W. J. (2021). Individual differences in cross-system physiological activity at rest and in response to acute social stress. Psychosomatic Medicine, 83(2), 138-148. https://doi.org/10.1097/PSY.0000000000000901
doi: 10.1097/PSY.0000000000000901 URL pmid: 33395213 |
[81] | Landers R. N., Armstrong M. B., Collmus A. B., Mujcic S., & Blaik J. (2022). Theory-driven game-based assessment of general cognitive ability: Design theory, measurement, prediction of performance, and test fairness. Journal of Applied Psychology, 107(10), 1655-1677. https://doi.org/10.1037/apl0000954 |
[82] | Lanza S. T., Flaherty B. P., & Collins L. M. (2003). Latent class and latent transition analysis. In J. A.Schinka, & W. F.Velicer (Eds.), Handbook of psychology: Research methods in psychology (pp. 663-685). John Wiley & Sons, Inc. |
[83] |
Leuchter A. F., Hunter A. M., Krantz D. E., & Cook I. A. (2014). Intermediate phenotypes and biomarkers of treatment outcome in major depressive disorder. Dialogues in Clinical Neuroscience, 16(4), 525-537.
pmid: 25733956 |
[84] | Leutner F., Codreanu S., Brink S., & Bitsakis T. (2022). Game based assessments of cognitive ability in recruitment: Validity, fairness and test-taking experience. Frontiers in Psychology, 13, 942662. https://doi.org/10.3389/fpsyg.2022.942662 |
[85] |
Leventhal A. M., Pettit J. W., & Lewinsohn P. M. (2008). Characterizing major depression phenotypes by presence and type of psychomotor disturbance in adolescents and young adults. Depression and Anxiety, 25(7), 575-592. https://doi.org/10.1002/da.20328
URL pmid: 17385727 |
[86] | Li W., Hu X., Long X., Tang L., Chen J., Wang F., & Zhang D. (2020). EEG responses to emotional videos can quantitatively predict big-five personality traits. Neurocomputing, 415, 368-381. |
[87] | Li W., Wu C., Hu X., Chen J., Fu S., Wang F., & Zhang D. (2022). Quantitative personality predictions from a brief EEG recording. IEEE Transactions on Affective Computing, 13(3), 1514-1527. https://doi.org/10.1109/TAFFC.2020.3008775 |
[88] |
Lisdahl K. M., Sher K. J., Conway K. P., Gonzalez R., Ewing S. W. F., Nixon S. J.,... Heitzeg M. (2018). Adolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods. Developmental Cognitive Neuroscience, 32, 80-96. https://doi.org/10.1016/j.dcn.2018.02.007
doi: S1878-9293(17)30089-0 URL pmid: 29559216 |
[89] |
Liu F., Yang D., Liu Y., Zhang Q., Chen S., Li W.,... Wang X. (2022). Use of latent profile analysis and k-means clustering to identify student anxiety profiles. BMC Psychiatry, 22(1), 12. https://doi.org/10.1186/s12888-021-03648-7
doi: 10.1186/s12888-021-03648-7 URL pmid: 34986837 |
[90] | Liu S., Wang Y., Zhang Q., Zhou Q., Cao L., Jiang C.,... Chinese Color N. C. (2021). Chinese color nest project : An accelerated longitudinal brain-mind cohort. Developmental Cognitive Neuroscience, 52, 101020. https://doi.org/10.1016/j.dcn.2021.101020 |
[91] | Lopez K. L., Monachino A. D., Vincent K. M., Peck F. C., & Gabard-Durnam L. (2023). Stability, change, and reliable individual differences in electroencephalography measures: A lifespan perspective on progress and opportunities. NeuroImage, 275, 1-34. https://doi.org/10.1016/j. neuroimage.2023.120116 |
[92] |
Lubinski D. (2000). Scientific and social significance of assessing individual differences: "sinking shafts at a few critical points". Annual Review of Psychology, 51, 405-444.
pmid: 10751977 |
[93] | Lyu H., Huang H., He J., Zhu S., Hong W., Lai J.,... Hu S. (2024). Task-state skin potential abnormalities can distinguish major depressive disorder and bipolar depression from healthy controls. Translational Psychiatry, 14(1), 1-8. https://doi.org/10.1038/s41398-024-02828-9 |
[94] |
McIntyre M. M., & Graziano W. G. (2019). A snapshot of person and thing orientations: How individual differences in interest manifest in everyday life. Personality and Individual Differences, 136, 160-165. https://doi.org/10.1016/j.paid.2017.08.005
doi: 10.1016/j.paid.2017.08.005 URL |
[95] | Mehl M. R., & Conner T. S. (2011). Handbook of research methods for studying daily life. Guilford Press. |
[96] | Mehl M. R., & Robbins M. L. (2012). Naturalistic observation sampling:The electronically activated recorder (EAR). In M. R.Mehl, & T. S.Conner (Eds.), Handbook of research methods for studying daily life (pp. 176-192). The Guilford Press. |
[97] | Mehta Y., Majumder N., Gelbukh A., & Cambria E. (2020). Recent trends in deep learning based personality detection. Artificial Intelligence Review, 53(4), 2313-2339. https://doi.org/10.1007/s10462-019-09770-z |
[98] | Merz E. L., & Roesch S. C. (2011). A latent profile analysis of the Five-Factor Model of personality: Modeling trait interactions. Personality and Individual Differences, 51(8), 915-919. https://doi.org/10.1016/j.paid.2011.07.022 |
[99] |
Mischel W., & Shoda Y. (1995). A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102(2), 246-268.
doi: 10.1037/0033-295x.102.2.246 pmid: 7740090 |
[100] |
Morse P. J., Neel R., Todd E., & Funder D. (2015). Renovating situation taxonomies: Exploring the construction and content of fundamental motive situation types. Journal of Personality, 83(4), 389-403. https://doi.org/10.1111/jopy.12111
doi: 10.1111/jopy.12111 URL pmid: 25041350 |
[101] | Mõttus R., Epskamp S., & Francis A. (2017). Within- and between individual variability of personality characteristics and physical exercise. Journal of Research in Personality, 69, 139-148. https://doi.org/10.1016/j.jrp.2016.06.017 |
[102] | Myers I. B. (1962). The Myers-Briggs Type Indicator: Manual. Consulting Psychologists Press. |
[103] |
Nelson J., Klumparendt A., Doebler P., & Ehring T. (2020). Everyday emotional dynamics in major depression. Emotion, 20(2), 179-191. https://doi.org/10.1037/emo0000541
doi: 10.1037/emo0000541 URL pmid: 30589297 |
[104] | Ness A. M., Foley K. O., & Heggestad E. (2021). Intra- individual variability in personality:A methodological review. In D.Wood, S. J.Read, P. D.Harms & A.Slaughter (Eds.), Measuring and modeling persons and situations (pp. 313-353). Elsevier Academic Press. https://doi.org/10.1016/B978-0-12-819200-9.00007-7 |
[105] | Neubauer A. B., Brose A., & Schmiedek F. (2023). How within-person effects shape between-person differences: A multilevel structural equation modeling perspective. Psychological Methods, 28(5), 1069-1086. https://doi.org/10.1037/met0000481 |
[106] |
Nichols E. S., Gao Y., Fregni S., Liu L., & Joanisse M. F. (2021). Individual differences in representational similarity of first and second languages in the bilingual brain. Human Brain Mapping, 42(16), 5433-5445. https://doi.org/10.1002/hbm.25633
doi: 10.1002/hbm.25633 URL pmid: 34469016 |
[107] |
Parrigon S., Woo S. E., Tay L., & Wang T. (2017). CAPTION-ing the situation: A lexically-derived taxonomy of psychological situation characteristics. Journal of Personality and Social Psychology, 112(4), 642-681.
doi: 10.1037/pspp0000111 pmid: 27537274 |
[108] | Patel V., Saxena S., Lund C., Kohrt B., Kieling C., Sunkel C.,... Herrman H. (2023). Transforming mental health systems globally: Principles and policy recommendations. The Lancet, 402(10402), 656-666. |
[109] | Petersen K. J., Qualter P., & Humphrey N. (2019). The application of latent class analysis for investigating population child mental health: A systematic review. Frontiers in Psychology, 10, 16. https://doi.org/10.3389/fpsyg.2019.01214 |
[110] | Phan L. V., & Rauthmann J. F. (2021). Personality computing: New frontiers in personality assessment. Social and Personality Psychology Compass, 15(7), 17. https://doi.org/10.1111/spc3.12624 |
[111] | Picard R. W., Fedor S., & Ayzenberg Y. (2016). Multiple arousal theory and daily-life electrodermal activity asymmetry. Emotion Review, 8(1), 62-75. |
[112] |
Rauthmann J. F., Gallardo-Pujol D., Guillaume E. M., Todd E., Nave C. S., Sherman R. A.,... Funder D. C. (2014). The situational eight DIAMONDS: A taxonomy of major dimensions of situation characteristics. Journal of Personality and Social Psychology, 107(4), 677-718. https://doi.org/10.1037/a0037250
doi: 10.1037/a0037250 URL pmid: 25133715 |
[113] | Rauthmann J. F., Horstmann K. T., & Sherman R. A. (2020). The psychological characteristics of situations:Towards an integrated taxonomy. In J. F.Rauthmann, R. A.Sherman, & D. C.Funder (Eds.), The Oxford handbook of psychological situations (pp. 389-403). Oxford University Press. |
[114] | Rauthmann J. F., & Sherman R. A. (2021). Conceptualizing and measuring the psychological situation. In D.Wood, S. J.Read, P. D.Harms & A.Slaughter (Eds.), Measuring and modeling persons and situations (pp. 427-463). Elsevier Academic Press. |
[115] | Rauthmann J. F., Sherman R. A., & Funder D. C. (2015). Principles of situation research: Towards a better understanding of psychological situations. European Journal of Personality, 29(3), 363-381. https://doi.org/10.1002/per.1994 |
[116] | Rauthmann J. F., Sherman R. A., Nave C. S., & Funder D. C. (2015). Personality-driven situation experience, contact, and construal: How people’s personality traits predict characteristics of their situations in daily life. Journal of Research in Personality, 55, 98-111. https://doi.org/10.1016/j.jrp.2015.02.003 |
[117] |
Read S. J., Monroe B. M., Brownstein A. L., Yang Y., Chopra G., & Miller L. C. (2010). A neural network model of the structure and dynamics of human personality. Psychological Review, 117(1), 61-92. https://doi.org/10.1037/a0018131
doi: 10.1037/a0018131 URL pmid: 20063964 |
[118] | Roberts B. W., & Yoon H. J. (2022). Personality psychology. Annual Review of Psychology, 73, 489-516. https://doi.org/10.1146/annurev-psych-020821-114927 |
[119] |
Robins R. W., John O. P., Caspi A., Moffitt T. E., & Stouthamer-Loeber M. (1996). Resilient, overcontrolled, and undercontrolled boys: Three replicable personality types. Journal of Personality and Social Psychology, 70(1), 157-171. https://doi.org/10.1037/0022-3514.70.1.157
doi: 10.1037//0022-3514.70.1.157 URL pmid: 8558407 |
[120] | Roehr-Brackin K., Gánem-Gutiérrez G. A., Olivera-Smith L., & Torres-Marín M. T. (2021). Are individual differences in cognitive abilities and stylistic preferences related to multilingual adults’ performance in explicit learning conditions? Language Awareness, 30(4), 391-412. https://doi.org/10.1080/09658416.2021.1969404 |
[121] |
Saucier G., Bel-Bahar T., & Fernandez C. (2007). What modifies the expression of personality tendencies? defining basic domains of situation variables. Journal of Personality, 75(3), 479-503.
pmid: 17489889 |
[122] | Scheibner J., Ienca M., Kechagia S., Troncoso-Pastoriza J., Raisaro J. L., Hubaux J.,... Vayena E. (2020). Data protection and ethics requirements for multisite research with health data: A comparative examination of legislative governance frameworks and the role of data protection technologies. Journal of Law and the Biosciences, 7(1), 1. https://doi.org/10.1093/jlb/lsaa010 |
[123] | Schneider B. (2008). Review of experience sampling method: Measuring the quality of everyday life. European Psychologist, 13(2), 152-153. https://doi.org/10.1027/1016-9040.13.2.152 |
[124] |
Shanahan D. F., Bush R., Gaston K. J., Lin B. B., Dean J., Barber E., & Fuller R. A. (2016). Health benefits from nature experiences depend on dose. Scientific Reports, 6, 28551. https://doi.org/10.1038/srep28551
doi: 10.1038/srep28551 URL pmid: 27334040 |
[125] |
Shanahan M., Bingman V. P., Shimizu T., Wild M., & Güntürkün O. (2013). Large-scale network organization in the avian forebrain: A connectivity matrix and theoretical analysis. Frontiers in Computational Neuroscience, 7, 89. https://doi.org/10.3389/fncom.2013.00089
doi: 10.3389/fncom.2013.00089 URL pmid: 23847525 |
[126] |
Shaw D. J., Czekóová K., Pennington C. R., Qureshi A. W., Špiláková B., Salazar M., Brázdil M., & Urbánek T. (2020). You ≠ me: Individual differences in the structure of social cognition. Psychological Research, 84(4), 1139-1156. https://doi.org/10.1007/s00426-018-1107-3
doi: 10.1007/s00426-018-1107-3 URL pmid: 30324265 |
[127] | Sheu Y. (2020). Illuminating the black box: Interpreting deep neural network models for psychiatric research. Frontiers in Psychiatry, 11, 551299. https://doi.org/10.3389/fpsyt.2020.551299 |
[128] |
Shoda Y., Mischel W., & Wright J. C. (1994). Intraindividual stability in the organization and patterning of behavior: Incorporating psychological situations into the idiographic analysis of personality. Journal of Personality and Social Psychology, 67(4), 674-687
pmid: 7965613 |
[129] | Shui X., Chen Y., Hu X., Wang F., & Zhang D. (2023). Personality in daily life: Multi-situational physiological signals reflect big-five personality traits. IEEE Journal of Biomedical and Health Informatics, 27(6), 2853-2863. https://doi.org/10.1109/JBHI.2023.3253820 |
[130] |
Shui. X., Zhang, M., Zhuoran, L., Hu, X., Wang, F., & Zhang, D. (2021). A dataset of daily ambulatory psychological and physiological recording for emotion research. Scientific Data, 8(1), 161. https://doi.org/10.1038/s41597-021- 00945-4
doi: 10.1038/s41597-021-00945-4 URL pmid: 34183677 |
[131] | Skimina E., & Cieciuch J. (2020). Explaining everyday behaviours and situational context by personality metatraits and Higher-order values. European Journal of Personality, 34(1), 29-59. https://doi.org/10.1002/per.2230 |
[132] |
Smagula S. F., Zhang G., Gujral S., Covassin N., Li J., Taylor W. D., Reynolds C. F., 3rd, & Krafty, R. T. (2022). Association of 24-hour activity pattern phenotypes with depression symptoms and cognitive performance in aging. JAMA psychiatry, 79(10), 1023-1031.
doi: 10.1001/jamapsychiatry.2022.2573 pmid: 36044201 |
[133] | Soreq E., Violante I. R., Daws R. E., & Hampshire A. (2021). Neuroimaging evidence for a network sampling theory of individual differences in human intelligence test performance. Nature Communications, 12(1), 2072. https://doi.org/10.1038/s41467-021-22199-9 |
[134] | Spitschan M., & Santhi N. (2022). Individual differences and diversity in human physiological responses to light. EBioMedicine, 75, 103640. https://doi.org/10.1016/j.ebiom.2021.103640 |
[135] | Spurk D., Hirschi A., Wang M., Valero D., & Kauffeld S. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120, 103445. https://doi.org/10.1016/j.jvb.2020.103445 |
[136] | Stachl C., Au Q., Schoedel R., Gosling S. D., Harari G. M., Buschek D.,... Bühner M. (2020). Predicting personality from patterns of behavior collected with smartphones. Proceedings of the National Academy of Sciences, 117(30), 17680-17687. |
[137] | Stachl C., Pargent F., Hilbert S., Harari G. M., Schoedel R., Vaid S., Gosling S. D., & Bühner M. (2020). Personality research and assessment in the era of machine learning. European Journal of Personality, 34(5), 613-631. |
[138] | Steyvers M., & Schafer R. J. (2020). Inferring latent learning factors in large-scale cognitive training data. Nature Human Behaviour, 4(11), 1145-1155. https://doi.org/10.1038/s41562-020-00935-3 |
[139] | Tian Y. E., Di Biase M. A., Mosley P. E., Lupton M. K., Xia Y., Fripp J.,... Zalesky A. (2023). Evaluation of brain- body health in individuals with common neuropsychiatric disorders. JAMA Psychiatry, 80(6), 567-576. https://doi.org/10.1001/jamapsychiatry.2023.0791 |
[140] | Tseng C.-H., Lin H.-C. K., Chen Y.-H., Lin J.-R., & Huang A. C.-W. (2022). Do students with different personality traits demonstrate different physiological signals in video- based learning? Cogent Education, 9(1). https://doi.org/10.1080/2331186X.2022.2138052 |
[141] | Tupes E. C., & Christal R. C. (1961). Recurrent personality factors based on trait ratings. TechnicalReport, USAF, Lackland Air Force Base, TX, 60( 2), 225-251. |
[142] | Van Halem S., Roekel E., Kroencke L., Kuper N., & Denissen J. (2020). Moments that matter? On the complexity of using triggers based on skin conductance to sample arousing events within an experience sampling framework. European Journal of Personality, 34(5), 794-807. https://doi.org/10.1002/per.2252 |
[143] | Bonarius H., Van Heck G., & Smid N. (1984). Personality psychology in Europe: Theoretical and empirical developments. Swets & Zeitlinger. |
[144] | Vinciarelli A., & Mohammadi G. (2014). A survey of personality computing. IEEE Transactions on Affective Computing, 5(3), 273-291. https://doi.org/10.1109/TAFFC.2014.2330816 |
[145] |
Wilhelm F. H., & Grossman P. (2010). Emotions beyond the laboratory: Theoretical fundaments, study design, and analytic strategies for advanced ambulatory assessment. Biological psychology, 84(3), 552-569.
doi: 10.1016/j.biopsycho.2010.01.017 pmid: 20132861 |
[146] |
Wood R. E., Beckmann N., Birney D. P., Beckmann J. F., Minbashian A., & Chau R. (2019). Situation contingent units of personality at work. Personality and Individual Differences, 136, 113-121.
doi: 10.1016/j.paid.2018.01.026 |
[147] | Wu Y., Kosinski M., & Stillwell D. (2015). Computer- based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences of the United States of America, 112(4), 1036-1040. https://doi.org/10.1073/pnas.1418680112 |
[148] | Yang Y., Read S. J., & Miller L. C. (2009). The concept of situations. Social and Personality Psychology Compass, 3(6), 1018-1037. |
[149] | Yang Y., Wang L., Passmore H., Zhang J., Zhu L., & Cai H. (2021). Viewing nature scenes reduces the pain of social ostracism. The Journal of Social Psychology, 161(2), 197-215. https://doi.org/10.1080/00224545.2020.1784826 |
[150] | Yin K., Lee P., Sheldon O. J., Li C., & Zhao J. (2021). Personality profiles based on the FFM: A systematic review with a person-centered approach. Personality and Individual Differences, 180, 110996. https://doi.org/10.1016/j.paid.2021.110996 |
[151] | Yuste R., Goering S., Arcas B. A. Y., Bi G., Carmena J. M., Carter A.,... Wolpaw J. (2017). Four ethical priorities for neurotechnologies and AI. Nature, 551(7679), 159-163. https://doi.org/10.1038/551159ad |
[152] | Zhang Y., Tiňo P., Leonardis A., & Tang K. (2021). A survey on neural network interpretability. Ithaca: Cornell University Library, arXiv.org, 5(5), 726-742. https://doi.org/10.1109/TETCI.2021.3100641 |
[153] | Zhu Z., Chen H., Ma J., He Y., Chen J., & Sun J. (2020). Exploring the relationship between walking and emotional health in china. International Journal of Environmental Research and Public Health, 17(23), 8804. https://doi.org/10.3390/ijerph17238804 |
[154] |
Ziegler M., Horstmann K. T., & Ziegler J. (2019). Personality in situations: Going beyond the OCEAN and introducing the situation five. Psychological Assessment, 31(4), 567-580. https://doi.org/10.1037/pas0000654
doi: 10.1037/pas0000654 URL pmid: 30869963 |
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