한국의류산업학회지 (Fashion & Textile Research Journal)

  • 제22권2호
  • /
  • Pages.240-249
  • /
  • 2020
  • /
  • 1229-2060(pISSN)
  • /
  • 2287-5743(eISSN)
한국의류산업학회 (The Society of Fashion and Textile Industry)
권호 표지
DOI QR코드

DOI QR Code

피부온을 기반으로 한 가전제품의 감성 평가 프로토콜 수립을 위한 문헌 조사

A Literature Review for an Emotion Evaluation Protocols Based on Skin Temperature for Home Appliances

  • 전은진 (포항공과대학교 산업경영공학과) ;
  • 이승훈 (포항공과대학교 산업경영공학과) ;
  • 김희은 (경북대학교 의류학과) ;
  • 유희천 (포항공과대학교 산업경영공학과)
  • Jeon, Eun-Jin (Dept. of Industrial & Management Engineering, POSTECH) ;
  • Lee, Seung-hoon (Dept. of Industrial & Management Engineering, POSTECH) ;
  • Kim, Hee-Eun (Dept. of Clothing & Textiles, Kyungpook National University) ;
  • You, Hee-Cheon (Dept. of Industrial & Management Engineering, POSTECH)
  • 투고 : 2020.01.16
  • 심사 : 2020.03.13
  • 발행 : 2020.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study reviews studies that used skin temperature in order to establish an emotion evaluation protocol based on skin temperature for home appliances. A survey of skin temperature evaluation papers was conducted by the following five stages: (1) keyword search, (2) title screening, (3) abstract screening, (4) full paper screening, and (5) relevance evaluation. Selected papers were reviewed for: purpose, recruitment criteria of participants, the number of participants, apparatus, procedure, measures, analysis methods, and major findings. Thermistor sensors and thermography are used for the measurement of skin temperature. Skin temperature sensors are attached to 4 - 10 locations on the body and their mean of skin temperature is calculated by Ramanatan's 4-point or Hardy & Dubois's 7-point method. Semantic differential (SD) method and thermography measuring facial surface temperature have been used for emotion evaluation. The SD method provides a set of adjective pairs related to a product and evaluates changes in emotion from the use of the product. The range of facial surface analyzed is defined in the thermal image and temperature changes before and after the evaluation are analyzed. The evaluation items of home appliances include form, color, material, aesthetics, satisfaction, novelty, convenience, pleasantness, and excellence. Many existing emotion studies using skin temperature do not apply physiological and psychological methods. This study provides basic data to establish a skin temperature and emotion evaluation protocol by examining literature for skin temperature and evaluation of sensitivity.

키워드

참고문헌

  1. Bach, J. E., Stewart, I. B., Disher, A. E., & Costello, J. T. (2015). A comparison between conductive and infrared devices for measuring mean skin temperature at rest, during exercise in the heat, and recovery. PLoS One Public Library of Science, 10(2). doi:10.1371/journal.pone.0117907
  2. 'CEM BX-500 infrared calibrator'. (2019). Amazon. Retrieved July 30, 2019, from https://www.amazon.com/CEM-BX-500-Portable-Infrared-Calibrator/dp/B01AIUF7K4
  3. Choi, H., & Park, M. Y. (2002). Predicting consumer emotion evaluation of white appliances. Proceedings of the Korean Institute of Industrial Engineers, Korea, 10, pp. 101-108.
  4. Choi, J. H., & Loftness, V. (2012). Investigation of human body skin temperatures as a bio-signal to indicate overall thermal sensations. Building and Environment, 58, 258-269. doi:10.1016/j.buildenv.2012.07.003
  5. 'Compact InfraRed Camera'. (2019). VFDs.com. Retrieved April 15, 2019, from https://www.vfds.com/flir-infrared-camera-i5
  6. Corona, L. J., Simmons, G. H., Nessler, J. A., & Newcomer, S. C. (2018). Characterisation of regional skin temperatures in recreational surfers wearing a 2-mm wetsuit. Ergonomics, 61(5), 729-735. doi:10.1080/00140139.2017.1387291
  7. Dai, Y., Wang, X., Zhang, P., & Zhang, W. (2017). Wearable biosensor network enabled multimodal daily-life emotion recognition employing reputation-driven imbalanced fuzzy classification. Measurement, 109, 408-424. doi:10.1016/j.measurement.2017.06.006
  8. Fournet, D., Voelcker, T., Ross, L., & Redortier, B. (2011). Skin temperature mapping in the cold the role of subcutaneous fat. Proceeding of the International Conference on Electrical Engineering, Spring Conference, Indonesia.
  9. 'Grant SQ2020 Wi-Fi series'. (2019). Amplicon. Retrieved July 30, 2019, from https://www.amplicon.com/products/grant-sq2020-wi-fi/
  10. Han, H. T., Kim, M. K., Park, M. K., & Lee, S. S. (2002). Measurements of temperature distribution on human body surface using multi-channel skin temperature sensors. Proceedings of the Korean Society for Emotion & Sensibility, Korea, pp. 205-209.
  11. Jeong, S. H., & Lee, K. P. (2006). Development of tool for measuring the user’s emotions expressed while using a product. Journal of Korean Society of Design Science, 64, 19(2), 343-354.
  12. Kim, J. S. (2016). Emotion evaluation analysis on the design of air purifier for home. Korea Society of Design Trend, 52, 157-168.
  13. Kim, H. E., & Lee, A. R. (2012). Analysis of thermography on skin temperature during exercise. Fashion & Textile Research Journal, 14(1), 130-135. doi:10.5805/KSCI.2012.14.1.130
  14. Kim, J. H., & Lee, J. S. (2014). Reliability analysis of emotion evaluation EPA.PAD model in each design field. Korean Journal of the Science of Emotion & Sensibility, 17(1), 79-92. doi:10.14695/KJSOS.2014.17.1.79
  15. Kim, S. Y., Choi, J. Y., Lee, H. R., & Hong, K. H. (2017). Evaluation of the wear comfort of women's fitted sports T-shirts made from cool-touch fabrics. Journal of the Korean Society of Clothing and Textiles, 41(5), 929-938. doi:10.5850/JKSCT.2017.41.5.929
  16. Liu, Y., Wang, L., Liu, J., & Di, Y. (2013). A study of human skin and surface temperatures in stable and unstable thermal environments. Journal of Thermal Biology, 38(7), 440-448. doi:10.1016/j.jtherbio.2013.06.006
  17. Lopez, E., Dominguez, E., Ramos, V., Fuente, J., Meins, A., Iborra, O., Galvez, G., Rodriguez-Artacho, M., & Gomez-Milan, E. (2015). The mental and subjective skin: Emotion, empathy, feelings and thermography. Consciousness and Cognition, 34, 149-162. doi:10.1016/j.concog.2015.04.003
  18. Mizuno, T., Sakai, T., Kawazura, S., Asano, H., Akehi, K., Matsuno, S., Mito, K., Kume, Y., & Itakura, N. (2015). Facial skin temperature fluctuation by mental work-load with thermography. Proceedings of the International Conference on Electronics and Software Science, Takamatsu, Japan.
  19. Na, N. R., Suk, H. J., & Lee, J. I. (2012). Investigation of the emotional characteristics of white for designing white based products. Korean Journal of the Science of Emotion & Sensibility, 15(2), 297-306.
  20. Park, J. M. (2014). The development of sensibility evaluation tools for user-oriented housing interior space. Journal of the Korean Institute of Interior Design, 25(5), 112-121. doi:10.14774/JKIID.2014.23.5.112
  21. Quesada, J. I., Martez, N., Palmer, S. P., Psikuta, A., Annaheim, S., Rossi, R., Corber, J., Anda, R. C., & Pez-Soriano, P. (2016). Effects of the cycling workload on core and local skin temperatures. Experimental Thermal and Fluid Science, 77, 91-99. doi:10.1016/j.expthermflusci.2016.04.008
  22. Quesada, J. I., Lucas-Cuevas, A. G., Gil-Calvo, M., Gimenez, J. V., Aparicio, I., Cibrian Ortizde Anda, R. M., Salvador Palmer, R., Llana-Belloch, S., & Perez-Soriano, P. (2015). Effects of graduated compression stockings on skin temperature after running. Journal of Thermal Biology, 52, 130-136. doi:10.1016/j.jtherbio.2015.06.005
  23. 'Registrador de Datos Economico Thermochron iButton'. (2019). Alphaomega. Retrieved July 11, 2019, from https://www.alphaomega-electronics.com/
  24. Richmond, V. L., Wilkinson, D. M., Blacker, S. D., Horner, F. E., Carter, J., Havenith, G., & Rayson, M. P. (2013). Insulated skin temperature as a measure of core body temperature for individuals wearing CBRN protective clothing. Physiological Measurement, 34(11), 1531-1543. doi:10.1088/0967-3334/34/11/1531
  25. Salazar-Lopez, E., Dominguez, E., Juarez Ramos, V., Fuente, J., Meins, A., Iborra, O., Galvez, G., Rodriguez-Artacho, M. A., & Gomez-Milan, E. (2015). The mental and subjective skin: Emotion, empathy, feelings and thermography. Consciousness and Cognition, 34, 149-162. doi:10.1016/j.concog.2015.04.003
  26. Scherer, K. R. (2005). What are emotions? And how can they be measured?. Trends and Developments: Research on Emotions, 44(4), 695-729. doi:10.1177/0539018405058216
  27. 'Thermistor'. (2019). Link Japan. Retrieved July 11, 2019, from http://linkjapan.co.kr/shop/item/1317511/
  28. Suh, S. W., & Lee, C. G. (2010). The emotional sensibility estimation system for front-load washer. Korea Academia-Industrial Cooperation Society, 11(3), 821-826. https://doi.org/10.5762/KAIS.2010.11.3.821
  29. 'Techni Med Vizio Focus'. (2019). Danawa. Retrieved July 15, 2019, from https://www.tecnimed.it/en/shop/uncategorized/visiofocus-06400/
  30. Yang, J., Weng, W., & Fu, M. (2015). A coupling system to predict the core and skin temperatures of human wearing protective clothing in hot environments. Applied Ergonomics, 51, 363-369. doi:10.1016/j.apergo.2015.06.002
  31. You, J. S. (2006). Study on consumer emotional changes of pattern design. Unpublished master's thesis, Hongik University, Seoul.