DOI QR코드

DOI QR Code

신발장착형 보행분석 트래커의 사용자경험 분석

User Experience Analysis of a Shoe-mounted Gait Analysis Tracker

  • 김시연 (한국생산기술연구원 휴먼융합연구부문) ;
  • 정다희 (서울대학교 의류학과) ;
  • 이주영 (서울대학교 의류학과) ;
  • 권지현 (한국생산기술연구원 휴먼융합연구부문) ;
  • 임대영 (한국생산기술연구원 휴먼융합연구부문) ;
  • 정원영 (한국생산기술연구원 휴먼융합연구부문)
  • Kim, Siyeon (Human Convergence Technology R&D Department, KITECH) ;
  • Jung, Dahee (Department of Textiles, Merchandising and Fashion Design, Seoul National University) ;
  • Lee, Joo-Young (Department of Textiles, Merchandising and Fashion Design, Seoul National University) ;
  • Kwon, Jihyun (Human Convergence Technology R&D Department, KITECH) ;
  • Lim, Daeyoung (Human Convergence Technology R&D Department, KITECH) ;
  • Jeong, Wonyoung (Human Convergence Technology R&D Department, KITECH)
  • 투고 : 2021.04.01
  • 심사 : 2021.04.30
  • 발행 : 2021.06.30

초록

Gait analysis trackers have been developed to monitor daily gait patterns to improve users' running performance and reduce the risk of injuries. A variety of gait analysis trackers are available on the market(e.g., foot pods, insoles). Depending on the type of gait analysis tracker, users' discomfort or satisfaction as well as required properties may differ. Hence, the purpose of this study was to compare and analyze user experience of three different types of commercial shoe-mounted gait analysis trackers and their mobile applications in a laboratory environment using questionnaires based on actual experiences of each product. Ten males and ten females who regularly enjoy walking and running exercises participated in the experiment. After the participants set up the tracker and application themselves without support from researchers, ten to thirty minutes' exercise was permitted on each product. Following this, the participants answered questionnaires containing evaluation variables on the device and mobile application, as well as satisfaction, intention to use, recommendation, and purchase. In addition, they were asked questions about the attractive features and shortcomings of each device and application. The results showed that the PRO-SPECS® smart insole was preferred over the others for ease of use, perceived durability, psychological burden of the design, and usefulness of the information provided by the application. Along with the results of questionnaire, this study also discussed strategies and recommendations for future product design and development.

키워드

과제정보

본 논문은 한국생산기술연구원 기관주요사업과 경기도기술 개발사업 "지능형 전자섬유 기반 스마트 텍스트로닉스 개발(kitech JA-21-0001/kitech IZ-21-0001)"의 지원으로 수행한 연구입니다.

참고문헌

  1. Ainslie, P., Reilly, T., & Westerterp, K. (2003). Estimating human energy expenditure - A review of techniques with particular reference to doubly labelled water. Sports Medicine, 33(9), 683-698. doi:10.2165/00007256-200333090-00004
  2. Barnes, K. R., & Kilding, A. E. (2015). Running economy - Measurement, norms, and determining factors. Sports Medicine, 1(1), 1-15. doi:10.1186/s40798-015-0007-y
  3. Catalfamo, P., Moser, D., Ghoussayni, S., & Ewins, D. (2008). Detection of gait events using an F-Scan in-shoe pressure measurement system. Gait & Pressure, 28(3), 420-426. doi:10.1016/j.gaitpost.2008.01.019
  4. Chae, H. S., Hong, J. Y., Cho, H. S., Lee, Y. J., Park, S., Han, K. H., & Lee, J. H. (2006). The development of usability evaluation for wearable computer - An investigation of smart clothing. Science of Emotion and Sensibility, 9(3), 265-276.
  5. Cho, H. K., & Lee, J. H. (2008). The development of usability evaluation criterion for sensor based smart clothing. Fashion & Textile Research Journal, 10(4), 473-478.
  6. Chung, C. S., Shin, I. S., Seo, J. S., Eun, S. D., & In, K. (2001). The analysis of a gait pattern and the mechanical efficiency on ages and speed conditions. Korean Journal of Sport Biomechanics, 10(2), 205-219.
  7. Daoud, A. I., Geissler, G. J., Wang, F., Saretsky, J., Daoud, Y. A., & Lieberman, D. E. (2012). Foot strike and injury rates in endurance runners - A retrospective study. Medicine & Science in Sports & Exercise, 44(7), 1325-1334. doi:10.1249/MSS.0b013e3182465115
  8. de Fontenay, B. P., Roy, J. S., Dubois, B., Bouyer, L., & Esculier, J. F. (2020). Validating commercial werable sensors for running gait parameters estimation. IEEE Sensors Journal, 20(14), 7783-7791. doi:10.1109/JSEN.2020.2982568
  9. DeJong, A. F., & Hertel, J. (2020). Validation of foot-strike assessment using wearable sensors during running. Journal of Athletic Training, 55(12), 1307-1310. doi:10.4085/1062-6050-0520.19
  10. Delgado-Gonzalo, R., Hubbard, J., Renevey, P., Lemkaddem, A., Vellinga, Q., Ashby, D., Willardson, J., Bertschi, M. (2017). Realtime gait analysis with accelerometer - Based smart shoes. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju, South Korea. doi:10.1109/EMBC.2017.8036783
  11. Farahpour, N., Jafarnezhad, A., Damavandi, M., Bakhtiari, A., & Allard, P. (2016). Gait ground reaction force characteristics of low back pain patients with pronated foot and able-bodied individuals with and without foot pronation. Journal of Biomechanics, 49(9), 1705-1710. doi:10.1016/j.jbiomech.2016.03.056
  12. Go, E. A., Hong, S. Y., Lee, K. K., & An, K. O. (2013). Effect of active change of foot progression angle on lower extremity joint during gait. Korean Journal of Sport Biomechanics, 23(1), 85-90. doi:10.5103/KJSB.2013.23.1.085
  13. Hernando, C., Hernando, C., Martinez-Navarro, I., Collado-Boira, E., Panizo, N. & Hernando, B. (2020). Estimation of energy consumed by middle-aged recreational marathoners during a marathon using accelerometry-based devices. Scientific Reports, 10(1), 1-10. doi:10.1038/s41598-020-58492-8
  14. Hwang, K. S., Jeong, M. G., & Lee, D. C. (1991). An analysis of gait characteristics parameters for the Korean normal studies. Journal of the Ergonomics Society of Korea, 10(2), 15-22.
  15. ISO 9241-210 (2019). Ergonomics of human-system interaction - Part 210: Human-centred design for interactive systems. International Organization for Standardization.
  16. Jang, E., & Cho, G. (2019) The classification and investigation of smart textile sensors for wearable vital signs monitoring. Fashion & Textile Research Journal, 21(6), 697-707. doi:10.5805/SFTI.2019.21.6.697
  17. Ju, N., & Lee, K. H. (2020) Consumer resistance to innovation - Smart clothing. Fashion and Textiles, 7(1), 1-19. doi:10.1186/s40691-020-00210-z
  18. Jung, J., Huh, J., Park, H., & Shin, B. (2018). A study on acceptance factors and market segmentation of smart device - Focused on UTAUT and personal innovativeness. Korean Journal of Business Administration, 31(1), 27-47.
  19. Kang, M. (2019). The understanding biomechanical movements for wellness - Focusing on the exercise for health. Journal of Wellness, 14(3), 379-389. doi:10.21097/ksw.2019.08.14.3.379
  20. Kim, D. Y., Park, C. I., Jang, Y. W., & Park, S. Y. (2001). Kinematic and kinetic comparison between stair climbing and level walking. Journal of Korean Academia of Rehabilitation Medicine, 25(6), 1048-1058.
  21. Kim, S. J. (2006). Correctional function of custom foot orthotics for foot diseases related to excessive pronation during gait. Korean Journal of Sport Biomechanics, 16(1), 65-79. doi:10.5103/KJSB.2006.16.1.065
  22. Koldenhoven, R. M., & Hertel, J. (2018). Validation of a wearable sensor for measuring running biomechanics. Digital Biomarkers, 2(2), 74-78. doi:10.1159/000491645
  23. Lee, J. (2020). Effect of high elastic running shoes on biomechanical factors. Korean Journal of Sport Biomechanics, 30(4), 285-291. doi:10.5103/KJSB.2020.30.4.285
  24. Lim, B. O., An, S. H., Lee, S. W., & Do, I. Y. (2007). The effects of start and finish distance on the gait variables during walking. Korean Journal of Sport Biomechanics, 17(1), 17-27. doi:10.5103/KJSB.2007.17.1.017
  25. Lin, F., Wang, A., Zhuang, Y., Tomita, M. R., & Xu, W. (2016). Smart insole - A wearable sensor device for unobtrusive gait monitoring in daily life. IEEE Transactions on Industrial Informatics, 12(6), 2281-2291. doi:10.1109/TII.2016.2585643
  26. Olsson, T., & Salo, M. (2011). Online user survey on current mobile augmented reality applications. Proceeding of 10th Con IEEE International Symposim, Basel, Switzerland, pp. 75-84. doi:10.1109/ISMAR.2011.6092372.
  27. Park, J. H. (2017). Characteristics of gait in the elderly - Normal vs. abnormal. Journal of Korean Neurology Association, 35(4 Suppl), 1-4. doi:10.17340/jkna.2017.4.23
  28. Park, S. H., Kim, Y. H., & Park, S. J. (2003) Evaluation method in gait analysis, Science of Emotion & Sensibility, 6(3), 25-32.
  29. Park, D. J., Choi, J., & Kim, D. J. (2015) The influence of health apps efficacy, satisfaction and continued use intention on wearable device adoption - A convergence perspective. Journal of Digital Convergence, 13(7), 137-145. doi: 10.14400/JDC.2015.13.7.137
  30. Park, S. Y., & Lee, J. H. (2017) An exploratory study on design planning of smart i-fitness wear associated with contents. The Korean Society of Design Culture, 23(4), 399-413 https://doi.org/10.18208/ksdc.2017.23.4.399
  31. Perry, J., & Burnfield, J. M. (2006). Gait analysis - Normal and pathological function (Jeong, S. Trans.). Slack Incorporated.
  32. Roberts, M., Mongeon, D., & Prince, F. (2017). Biomechanical parameters for gait analysis - A systematic review of healthy human gait. Physical Therapy and Rehabilitation, 4(6), 1-17. doi:10.7243/2055-2386-4-6
  33. Seo, W. D., Lee, S. S., Shin, W. Y., & Choi, S. I. (2018) Gait type classification using pressure sensor of smart insole. Journal of the Korea Society of Computer and Information, 23(2), 17-26. doi:10.9708/jksci.2018.23.02.017
  34. Suh, S. E., & Roh, J. S. (2015). A study on smart fashion product development trends. The Research Journal of the Costume Culture, 23(6), 1097-1115. doi:10.7741/rjcc.2015.23.6.1097
  35. Sunarya, U., Hariyani, Y. S., Cho, T., Roh, J., Hyeong, J., Sohn, I., Kim, S., Park, C. (2020) Feature analysis of smart shoe sensors for classification of gait pattern. Sensors, 20(21), 6253. doi:10.3390/s20216253
  36. Winter, D. A. (1987). The biomechanics and motor control of human gait. Ontario, Canada: University of Waterloo Press.