Acknowledgement
이 논문은 한국연구재단 4단계 BK21사업(전북대학교 심리학과)의 지원을 받아 연구되었음(No.4199990714213).
References
- Arnold, M. B. (1960). Emotion and personality.
- Bach, D. R., Friston, K. J., & Dolan, R. J. (2010). Analytic measures for quantification of arousal from spontaneous skin conductance fluctuations. International Journal of Psychophysiology, 76(1), 52-55. https://doi.org/10.1016/j.ijpsycho.2010.01.011
- Barrett, L. F., & Bliss-Moreau, E. (2009). Chapter 4 affect as a psychological primitive. Advances in Experimental Social Psychology, 41, 167-218. https://doi.org/10.1016/S0065-2601(08)00404-8
- Baucom, L. B., Wedell, D. H., Wang, J., Blitzer, D. N., & Shinkareva, S. V. (2012). Decoding the neural representation of affective states. NeuroImage, 59(1), 718-727. https://doi.org/10.1016/j.neuroimage.2011.07.037
- Ben-Yakov, A., Honey, C. J., Lerner, Y., & Hasson, U. (2012). Loss of reliable temporal structure in event-related averaging of naturalistic stimuli. NeuroImage, 63(1), 501-506. https://doi.org/10.1016/j.neuroimage.2012.07.008
- Bracken, B. K., Alexander, V., Zak, P. J., Romero, V., & Barraza, J. A. (2014, June). Physiological synchronization is associated with narrative emotionality and subsequent behavioral response. In International conference on augmented cognition (pp. 3-13). Springer, Cham.
- Bradley, M. M., & Lang, P. J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49-59. https://doi.org/10.1016/0005-7916(94)90063-9
- Bradley, M. M., & Lang, P. J. (1999). Fearfulness and affective evaluations of pictures. Motivation and Emotion, 23(1), 1-13. https://doi.org/10.1023/A:1021375216854
- 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.
- Croy, I., Laqua, K., Suss, F., Joraschky, P., Ziemssen, T., & Hummel, T. (2013). The sensory channel of presentation alters subjective ratings and autonomic responses toward disgusting stimuli-Blood pressure, heart rate and skin conductance in response to visual, auditory, haptic and olfactory presented disgusting stimuli. Frontiers in Human Neuroscience, 7, 510.
- Fruhholz, S., van der Zwaag, W., Saenz, M., Belin, P., Schobert, A.-K., Vuilleumier, P., & Grandjean, D. (2016). Neural decoding of discriminative auditory object features depends on their socio-affective valence. Social Cognitive and Affective Neuroscience, 11(10), 1638-1649. https://doi.org/10.1093/scan/nsw066
- Gatti, E., Calzolari, E., Maggioni, E., & Obrist, M. (2018). Emotional ratings and skin conductance response to visual, auditory and haptic stimuli. Scientific Data, 5(1), 1-12. https://doi.org/10.1038/s41597-018-0002-5
- Gavazzeni, J., Wiens, S., & Fischer, H. (2008). Age effects to negative arousal differ for self-report and electrodermal activity. Psychophysiology, 45(1), 148-151. https://doi.org/10.1111/j.1469-8986.2007.00596.x
- Gomez, P., & Danuser, B. (2004). Affective and physiological responses to environmental noises and music. International Journal of Psychophysiology, 53(2), 91-103. https://doi.org/10.1016/j.ijpsycho.2004.02.002
- Habes, I., Krall, S. C., Johnston, S. J., Yuen, K. S. L., Healy, D., Goebel, R., Sorger, B., & Linden, D. E. J. (2013). Pattern classification of valence in depression. NeuroImage: Clinical, 2(1), 675-683. https://doi.org/10.1016/j.nicl.2013.05.001
- Hale, J., Ward, J. A., Buccheri, F., Oliver, D., & Hamilton, A. F. D. C. (2020). Are you on my wavelength? interpersonal coordination in dyadic conversations. Journal of Nonverbal Behavior, 44(1), 63-83. https://doi.org/10.1007/s10919-019-00320-3
- Han, J., Lang, A., & Amon, M. J. (2022). Can media synchronize our physiological responses? Skin conductance synchrony as a function of message valence, arousal, and emotional change rate. Communication Monographs, 89(1), 47-69. https://doi.org/10.1080/03637751.2021.1942105
- 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
- Hove, M. J., & Risen, J. L. (2009). It's all in the timing: Interpersonal synchrony increases affiliation. Social Cognition, 27(6), 949-960. https://doi.org/10.1521/soco.2009.27.6.949
- Kim, I., Jang, J., Kim, H., & Kim, J. (in press). Measuring consistency of affective responses to ASMR stimuli across individuals using intersubject correlation. Korean Journal of Cognitive and Biological Psychology.
- Kim, J., & Wedell, D. H. (2016). Comparison of physiological responses to affect eliciting pictures and music. International Journal of Psychophysiology, 101, 9-17. https://doi.org/10.1016/j.ijpsycho.2015.12.011
- Kim, J., Shinkareva, S. V., & Wedell, D. H. (2017). Representations of modality-general valence for videos and music derived from fMRI data. NeuroImage, 148, 42-54. https://doi.org/10.1016/j.neuroimage.2017.01.002
- Kim, J., Weber, C. E., Gao, C., Schulteis, S., Wedell, D. H., & Shinkareva, S. V. (2020). A study in affect: Predicting valence from fMRI data. Neuropsychologia, 143, 107473.
- Kim, J. (2021). Representation of facial expressions of different ages: A multidimensional scaling study. Science of Emotion and Sensibility, 24(3), 71-80. https://doi.org/10.14695/KJSOS.2021.24.3.71
- Lahnakoski, J. M., Glerean, E., Jaaskelainen, I. P., Hyona, J., Hari, R., Sams, M., & Nummenmaa, L. (2014). Synchronous brain activity across individuals underlies shared psychological perspectives. NeuroImage, 100, 316-324. https://doi.org/10.1016/j.neuroimage.2014.06.022
- Li, X., Zhu, Y., Vuoriainen, E., Ye, C., & Astikainen, P. (2021). Decreased intersubject synchrony in dynamic valence ratings of sad movie contents in dysphoric individuals. Scientific Reports, 11(1), 1-13. https://doi.org/10.1038/s41598-020-79139-8
- Masson, H. L., & Isik, L. (2021). Functional selectivity for social interaction perception in the human superior temporal sulcus during natural viewing. NeuroImage, 245, 118741.
- Miles, L. K., Nind, L. K., & Macrae, C. N. (2009). The rhythm of rapport: Interpersonal synchrony and social perception. Journal of Experimental Social Psychology, 45(3), 585-589. https://doi.org/10.1016/j.jesp.2009.02.002
- Mourao-Miranda, J., Hardoon, D. R., Hahn, T., Marquand, A. F., Williams, S. C. R., Shawe-Taylor, J., & Brammer, M. (2011). Patient classification as an outlier detection problem: An application of the one-class support vector machine. NeuroImage, 58(3), 793-804. https://doi.org/10.1016/j.neuroimage.2011.06.042
- Mourao-Miranda, J., Almeida, J. R., Hassel, S., Oliveira, L. de, Versace, A., Marquand, A. F., Sato, J. R., Brammer, M., & Phillips, M. L. (2012). Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression. Bipolar Disorders, 14(4), 451-460. https://doi.org/10.1111/j.1399-5618.2012.01019.x
- Najafi, M., Kinnison, J., & Pessoa, L. (2017). Dynamics of intersubject brain networks during anxious anticipation. Frontiers in Human Neuroscience, 11, 552.
- Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. Social Cognitive and Affective Neuroscience, 14(6), 669-687. https://doi.org/10.1093/scan/nsz037
- Nummenmaa, L., Glerean, E., Viinikainen, M., Jaaskelainen, I. P., Hari, R., & Sams, M. (2012). Emotions promote social interaction by synchronizing brain activity across individuals. Proceedings of the National Academy of Sciences of the United States of America, 109(24), 9599-9604. https://doi.org/10.1073/pnas.1206095109
- Nummenmaa, L., Lahnakoski, J. M., & Glerean, E. (2018). Sharing the social world via intersubject neural synchronisation. Current Opinion in Psychology, 24, 7-14. https://doi.org/10.1016/j.copsyc.2018.02.021
- Obrist, M., Subramanian, S., Gatti, E., Long, B., & Carter, T. (2015, April). Emotions mediated through mid-air haptics. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2053-2062).
- Paquette, S., Takerkart, S., Saget, S., Peretz, I., & Belin, P. (2018). Cross-classification of musical and vocal emotions in the auditory cortex. Annals of the New York Academy of Sciences, 1423(1), 329-337. https://doi.org/10.1111/nyas.13666
- Peelen, M. V., Atkinson, A. P., & Vuilleumier, P. (2010). Supramodal representations of perceived emotions in the human brain. Journal of Neuroscience, 30(30), 10127-10134. https://doi.org/10.1523/JNEUROSCI.2161-10.2010
- Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161-1178. https://doi.org/10.1037/h0077714
- Sachs, M. E., Habibi, A., Damasio, A., & Kaplan, J. T. (2018). Decoding the neural signatures of emotions expressed through sound. NeuroImage, 174, 1-10. https://doi.org/10.1016/j.neuroimage.2018.02.058
- Shinkareva, S. V., Wang, J., & Wedell, D. H. (2013). Examining similarity structure: Multidimensional scaling and related approaches in neuroimaging. Computational and Mathematical Methods in Medicine, 2013.
- Sigrist, R., Rauter, G., Riener, R., & Wolf, P. (2012). Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review. Psychonomic Bulletin & Review, 20(1), 21-53. https://doi.org/10.3758/s13423-012-0333-8
- Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016). Dynamic reconfiguration of the default mode network during narrative comprehension. Nature Communications, 7(1), 1-13. https://doi.org/10.1038/ncomms12141