Abstract
This paper extensively investigates the effectiveness of pre-obtainable personal facial image characteristics, diverse profiles, and information on personal characteristics and values in predicting relationships between males and females after speed dating (SD). We collected a new corpus of data that includes the degree of romantic feeling toward the interaction partner (love-like scale) before the start and after the end of the interaction, the video, audio, and biological information of each participant, and the index values of diverse profiles and personal characteristics and values, which are obtained using a questionnaire. We constructed a novel predictive model that can predict love and like scores between males and females after SD on the basis of profiles, facial features, and psychometric scale scores. The results of the analysis showed that using all information from profiles, facial features, and psychometric scale scores was most useful for predicting females’ love scores. On the other hand, we found that just using psychometric scale scores was most useful for predicting females’ like scores and males’ love and like scores.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Recruit Holdings Co Ltd, Marriage activity survey 2022 (in Japanese) (2022). https://www.recruit.co.jp/newsroom/pressrelease/assets/20220908_marriage_01.pdf
Valentine, K.A., et al.: Mate preferences for warmth-trustworthiness predict romantic attraction in the early stages of mate selection and satisfaction in ongoing relationships. Personal. Soc. Psychol. Bull. 46(2), 298–311 (2020)
Aikawa, A.: A study on the reliability and validity of a scale to measure shyness as a trait. Jpn. J. Psychology 62(3), 149–155 (1991)
Baruh, L., Cemalcilar, Z.: It is more than personal: development and validation of a multidimensional privacy orientation scale. Personality Individ. Differ. 70, 165–170 (2014)
Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)
Brooks, D.K.: A life-skills taxonomy: defining elements of effective functioning through the use of the Delphi technique. University of Georgia (1984)
Crumbaugh, J.C., Maholick, L.T.: An experimental study in existentialism: the psychometric approach to Frankl’s concept of Noogenic neurosis. J. Clin. Psychol. 20(2), 200–207 (1964)
Russell, D., et al.: Developing a measure of loneliness. J. Pers. Assess. 42(3), 290–294 (1978)
Davis, M.H.: Measuring individual differences in empathy: evidence for a multidimensional approach. J. Personal. Soc. Psychol. 44(1), 113–126 (1983)
Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL, pp. 4171–4186 (2019)
Dweck, C.S.: Capturing the dynamic nature of personality. J. Res. Personal. 30(3), 348–366 (1996)
Fujimoto, M., Daibo, I.: Endcore: a hierarchical structure theory of communication skills. Jpn. J. Personal. 15(3), 347–361 (2007)
Furukawa, H., et al.: The structure of yutori: a specifically Japanese concept meaning subjective well-being. Jpn. J. Soc. Psychol. 9(3), 171–180 (1994)
Itatsu, H.: Ikikatanokenkyuu. Jpn. J. Counseling Sci. 25(2), 85–93 (1992)
Jaeger, B., Jones, A.L.: Which facial features are central in impression formation? Soc. Psychol. Personali. Sci. 13(2), 553–561 (2022)
Joel, S., et al.: Is romantic desire predictable? machine learning applied to initial romantic attraction. Psychol. Sci. 28(10), 1478–1489 (2017)
Kanemasa, Y.: The images of love: intimate opposite-sex relationship and adult attachment style. Jpn. J. Interpersonal Soc. Psychol. 2, 93–101 (2002)
Larson, D., Chastain, R.: Self-concealment: conceptualization, measurement, and health implications. J. Soc. Clin. Psychol. 9, 439–455 (1990)
Mohri, I., Tanno, Y.: Development and validation of social anxiety scale by social situations. Jpn. J. Health Psycol. 14(1), 23–31 (2001)
Odagiri, N.: College students’ formation of prejudice toward divorce. Jpn. J. Developm. Psychol. 14, 245–256 (2003)
Olson, D.: Cicumplex model IV: validation studies and facesIII. Family Process 25 (1986)
Rosenberg, M.: Society and the Adolescent Self-Image. Princeton University Press (1965)
Rothmann, S., Coetzer, E.P.: The big five personality dimensions and job performance. SA J. Industrial Psychol. 29(1) (2003)
Rotter, J.B.: A new scale for the measurement of interpersonal trust. J. Personality 35(4), 651–665 (1967)
Rubin, Z.: Measurement of romantic love. J. Pers. Soc. Psychol. 16(2), 265–273 (1970)
Sakamoto, S.: The preoccupation scale: its development and relationship with depression scales. J. Clin. Psychol. 54(5), 645–654 (1998)
Sell, H., Nagpal, R.: Assessment of subjective well-being: The subjective well-being inventory (subi). New Delhi: Regional Office for South-East Asia, World Health Organization, vol. 24 (1992)
Spranger, E.: Types of men: the psychology and ethics of personality. Max Niemeyer, Halle (1928)
Sugawara, K.: An attempting to construct the self-consciousness scale for Japanese. Jpn. J. Psychol. 55(3), 184–188 (1984)
Sugiura, T.: Developmental change in the relation between two affiliation motives and interpersonal alienation. Jpn. J. Educ. Psycol. 48, 352–360 (2000)
Wada, M.: Construction of a romantic love attitude scale. Jpn. J. Experim. Soc. Psychol. 34(2), 153–163 (1994)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ishii, R. et al. (2023). Prediction of Love-Like Scores After Speed Dating Based on Pre-obtainable Personal Characteristic Information. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14145. Springer, Cham. https://doi.org/10.1007/978-3-031-42293-5_71
Download citation
DOI: https://doi.org/10.1007/978-3-031-42293-5_71
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-42292-8
Online ISBN: 978-3-031-42293-5
eBook Packages: Computer ScienceComputer Science (R0)
