감성과학 (Science of Emotion and Sensibility)

  • 제20권3호
  • /
  • Pages.89-96
  • /
  • 2017
  • /
  • 1226-8593(pISSN)
  • /
  • 2383-613X(eISSN)
한국감성과학회 (Korean Society for Emotion and Sensibility)
권호 표지
DOI QR코드

DOI QR Code

실시간 Social Distance 추적에 의한 감성 상호작용 인식 기술 개발

Recognition of Emotion Interaction by Measuring Social Distance in Real Time

  • Lee, Hyunwoo (Department of Emotion Engineering, Sangmyung University) ;
  • Woo, Jincheol (Department of Emotion Engineering, Sangmyung University) ;
  • Cho, Ayoung (Department of Emotion Engineering, Sangmyung University) ;
  • Jo, Youngho (Emotion Science Center) ;
  • Whang, Mincheol (Department of Intelligence Information Engineering, Sangmyung University)
  • 투고 : 2016.07.04
  • 심사 : 2017.07.07
  • 발행 : 2017.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 비콘 기반의 웨어러블 디바이스를 통해 Social Distance로부터 감성 상호작용을 인식하기 위한 기술을 개발하였다. 인식된 상호작용은 Photoplethysmogram(PPG)로부터 추정된 심혈관 동시성과 비교하여 평가되었다. 상호작용은 Social Distance가 일정 시간 이상 유지되었을 경우 인식되었으며, 심혈관 동시성은 PPG로부터 계산된 Beats Per Minute(BPM) 간의 상관분석을 통해 추정되었다. Social Distance로부터 유효한 상호작용을 인식하기 위한 유지시간을 결정하기 위해 상호작용 대상일 때와 아닐 때의 심혈관 동시성에 대해 Mann-Whitney U test를 실시하였다. 15개 집단(집단 당 2명)이 실험에 참여하였으며, 이들은 일상생활에서 비콘 및 PPG 웨어러블 디바이스를 착용하도록 요청받았다. 그 결과, 본 연구에서 인식한 상호작용 대상은 더 높은 심혈관 동시성을 보이는 것으로 나타났으며, 유효 상호작용 시간은 통계적 유의차를 보이는 11초로 결정되었다(p=.045). 결과적으로 실 공간에서의 사회관계망에 대한 실시간 측정과 평가를 할 가능성을 높였다.

This study developed a method which recognizes emotional interactions from the social distance by a beacon wearable device. The recognized interaction was evaluated by comparing with the cardiovascular synchrony from photoplethysmogram (PPG). The interaction was recognized when social distance was maintained for a certain period of time. The cardiovascular synchrony was estimated by correlation anaysis between beat per minute (BPM) from PPG. The maintenance time was determined by Mann-Whitney U test between the cardiovascular synchrony of interaction and non-interaction groups. Fifteen groups (2 persons per a group) participated in the experiment and they were asked to wear the beacon and PPG wearable devices in daily life. Experimental results showed that the interaction groups had more higher cardiovascular synchrony than non-interaction groups and the significant interaction time was determined to be 11 seconds (p=.045). Consequently, the real-time measurement and evaluation of the social network in real space was expected to be improved.

키워드

참고문헌

  1. Bogardus, E. S. (1947). Measurement of personal-group relations, Sociometry, 10(4), 306-311. DOI: /10.2307/2785570
  2. Chen, M., Zhang, Y., Li, Y., Hassan, M., & Alamri, A. (2015). AIWAC: Affective interaction through wearable computing and cloud technology, Wireless Communications, IEEE, 22(1), 20-27. DOI: 10.1109/MWC.2015.7054715
  3. Cole, M. S., Bruch, H., & Shamir, B. (2009). Social distance as a moderator of the effects of transformational leadership: Both neutralizer and enhancer, Human Relations, 62(11), 1697-1733. DOI: 10.1177/0018726709346377
  4. Ebbesen, E. B., Kjos, G. L., & Konečni, V. J. (1976). Spatial ecology: Its effects on the choice of friends and enemies, Journal of Experimental Social Psychology, 12(6), 505-518. DOI: 10.1016/ 0022-1031(76)90030-5
  5. Feldman, R. (2006). From biological rhythms to social rhythms: Physiological precursors of mother-infant synchrony, Developmental Psychology, 42(1), 175-188. DOI: 10.1037/0012-1649.42.1.175
  6. Feldman, R., Magori-Cohen, R., Galili, G., Singer, M., & Louzoun, Y. (2011). Mother and infant coordinate heart rhythms through episodes of interaction synchrony, Infant Behavior and Development, 34(4), 569-577. DOI: 10.1016/j.infbeh.2011.06.008
  7. Festinger, L., Back, K. W., & Schachter, S. (1950). Social pressures in informal groups: A study of human factors in housing, Stanford, Calif: Stanford University Press. DOI: 10.2307/3348388
  8. Hall, E. T. (1966). The hidden dimension, New York: Doubleday.
  9. Hyun, J., Eom, K., & Han, K (2009). Effects of social distance and mood on moral judgment - focusing on moral dilemmas (사회적 거리와 정서가 도덕 판단에 미치는 영향), Science of Emotion & Sensibility, 12(4), 411-424.
  10. Jo, Y. H., Lee, J. N., Kim, H. J., Woo, J. C., Lee, Y. J., & Whang, M. C. (2015). Group ID issuing model using temporal explicit movement in social life logging, In Park, D. S., Chao, H. C., Jeong, Y. S., & Park, J. (Eds.), Advances in Computer Science and Ubiquitous Computing (pp. 177-183). Singapore: Springer. DOI: 10.1007/978-981-10-0281-6_26
  11. Lammers, J., Galinsky, A. D., Gordijn, E. H., & Otten, S. (2012). Power increases social distance, Social Psychological and Personality Science, 3(3), 282-290. DOI: 10.1177/1948550611418679
  12. Liberman, N., Trope, Y., & Wakslak, C. (2007). Construal level theory and consumer behavior, Journal of Consumer Psychology, 17(2), 113-117. DOI: 10.1016/S1057-7408(07)70017-7
  13. Liu, H., Darabi, H., Banerjee, P., & Liu, J. (2007). Survey of wireless indoor positioning techniques and systems, Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 37(6), 1067-1080. DOI: 10.1109/TSMCC.2007.905750
  14. McKinley, S., & Levine, M. (1998). Cubic spline interpolation, College of the Redwoods, 45(1), 1049-1060.
  15. Newcomb, T. M. (1960). Some varieties of interpersonal attraction, In J. G. Peatman & E. L. Hartley (Eds.), Festschrift for Gardner Murphy (pp. 171-182). Oxford, England: Harper.
  16. Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm, IEEE Transactions on Biomedical Engineering, 32(3), 230-236. DOI: 10.1109/TBME.1985.325532
  17. Parkinson, C., Liu, S., & Wheatley, T. (2014). A common cortical metric for spatial, temporal, and social distance, The Journal of Neuroscience : The Official Journal of the Society for Neuroscience, 34(5), 1979-1987. DOI: 10.1523/JNEUROSCI .2159-13.2014
  18. Sanderson, J. (2008). The blog is serving its purpose: Self‐Presentation strategies on 38pitches. com, Journal of Computer‐Mediated Communication, 13(4), 912-936. DOI: 10.1111/j.1083-6101.2008.00424.x
  19. Whang, M., Kim, J., Mun, S., & Park, S. (2011). Emotion modeling and recognition technology (감성 모델링 및 인식 기술), Journal of Korea Robotics Society, 8(4), 34-44.
  20. Wilhelm, F. H., Pfaltz, M. C., & Grossman, P. (2006). Continuous electronic data capture of physiology, behavior and experience in real life: Towards ecological momentary assessment of emotion, Interacting with Computers, 18(2), 171-186. DOI: 10.1016/j.intcom.2005.07.001
  21. Woo, J., Kim, Y., Shin, S. S., Jo, Y. H., Choi, H., & Whang, M. (2015). Cardiovascular synchrony for determining significant group in social life logging, In Park, D. S., Chao, H. C., Jeong, Y. S., & Park, J. (Eds.), Advances in Computer Science and Ubiquitous Computing (pp. 193-199). Singapore: Springer. DOI: 10.1007/978-981-10-0281-6_28