디지털융복합연구 (Journal of Digital Convergence)

  • 제19권7호
  • /
  • Pages.217-226
  • /
  • 2021
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

개인형 이동장치(PM)의 주행 방향과 경고방식의 차이가 보행자의 위험 지각과 주행자에 대한 인식에 미치는 영향

The effects of PM driving direction and alert sound type on risk perception and awareness of PM driver of pedestrians

  • 정윤현 (연세대학교 정보대학원 UX트랙) ;
  • 이수지 (연세대학교 정보대학원 UX트랙) ;
  • 강현민 (연세대학교 정보대학원 UX트랙)
  • Jung, Yoon-Hyun (Graduate school of Information, Yonsei University) ;
  • Lee, Soo-Ji (Graduate school of Information, Yonsei University) ;
  • Kang, Hyunmin (Graduate school of Information, Yonsei University)
  • 투고 : 2021.06.15
  • 심사 : 2021.07.20
  • 발행 : 2021.07.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

공유 모빌리티의 확산으로 개인형 이동장치의 이용률이 높아지고 있으나, 소리가 없어 보행자에게 사고위험과 두려움을 유발하고 있다. 이 연구에서는 전동킥보드의 다양한 경고방식과 주행 방향이 보행자의 위험 지각과 주행자에 대한 인식, 각 도로에 대한 허용 태도에 미치는 영향을 살펴보고자 한다. 8가지 영상 처치물은 경고방식(silent, vess, bell, voice)과 주행 방향(전, 후방)에 따라 보행자 관점으로 제작되었다. 참가자는 각 영상을 시청한 후, 영상에 대한 설문에 응답하였다. 연구 결과, 주행 방향에 따른 영향은 없는 것으로 나타났다. 또, 경고방식과 상관없이 경고가 존재 할 때, 위험을 낮게 지각했고, 주행자에 대한 인식과 각 도로에 대한 허용 태도가 긍정적으로 나타났다. 이 연구는 보행자의 안전을 위해 개인형 이동장치 고유의 경고음이 필요함을 시사하고, 개인형 이동장치에 대한 인식 개선과 관련 정책, 규정을 마련하는데 도움이 될 것으로 기대한다.

The use of personal mobility(PM) is increasing because of preading shared mobility, but, it causes risk of accidents and fear to pedestrians because of lack of sound. The purpose of this study is to find out the effects of the alert sound in PM and driving direction on risk perception of pedestrians, awareness on PM driver, and allowance for driving on each road. The 8 videos were produced from a pedestrian perspective, depending on the alert sound type(silent, vess, bell, voice) and direction of driving(front, back). After watching each video, participants completed surveys. There was a non-effect on the driving direction. Regardless of the alert sound type, all of the sounds reduced the risk perception. Also, the awareness of PM drivers and allowance for driving on each road were positive. This study found that PM needed an alert sound for pedestrian safety. We expect the results of the study to help improve awareness of PM and make policies and regulations.

키워드

참고문헌

  1. D. Cha. (2021). Shared kickboard.. Industry is growing, regulation is retreating. DigitalToday. http://www.digitaltoday.co.kr/news/articleView.html?idxno=400504
  2. Openanalytics. (2020). Questionnaire about shared kickboard. Openanalytics. https://openanalytics.opensurvey.co.kr/surveys/134181?shareKey=LZXdGa2L2CNh
  3. K. O. Jeong. (2020, June). Monthly KOTI Magazine on Transport, 268, 11-17.
  4. J. B. Lee & J. S. Lee. (2019, February). A Study on the vibrotactile feedback to support user's perception of driving speed of electric kick board. Proceedings of HCI Korea 2019 Conference. (pp. 240-244). Jeju : The HCI Society Korea.
  5. J. Y. Song, I. G. Ryu, S. H. Lee & K.C. Choi. (2019, February). A study on the user characteristics and perception-reaction time of personal mobility. Proceedings of the KOR-KST Conference. (pp. 288-292). Seoul : Korean society of transportation.
  6. D. Dey. et al. (2020). Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles external human-machine interfaces. Transportation Research Interdisciplinary Perspectives, 7, 100174. DOI : 10.1016/j.trip.2020.100174
  7. W. A. Yost, R. R. Fay & A. N. Popper (2008). Auditory perception of sound sources. New York: Springer.
  8. B. N. Kim. (2019). Trend of patent for AVAS (Acoustic Vehicle Alert System). AUTO JOURNAL : Journal of the Korean Society of Automotive Engineers, 41(12), 56-58.
  9. M. U. Han & S. K. Lee. (2017). Detectability evaluation for alert sound in an electric vehicle. Transactions of the Korean Society of Mechanical Engineers - A, 41(10), 923-929. https://doi.org/10.3795/KSME-A.2017.41.10.923
  10. J. Bae & J. Y. Kim. (2017). Engine sound design for electric vehicle by using software synthesizer. Journal of the Korea Institute of Information and Communication Engineering, 21(8), 1547-1552. https://doi.org/10.6109/jkiice.2017.21.8.1547
  11. R.Vilimek & T. Hempel. (2005). Effects of speech and non-speech sounds on short-term memory and possible implications for in-vehicle use. Proceeding of the International Conference on Auditory Display. 344-350
  12. E. B. Shin, S. J. Shin & S. H. Ahn. (2019). A study on emotional experience of pedestrian for EV warning sound design. Proceedings of HCI Korea 2019 Conference. (525-520). Jeju : The HCI Society Korea
  13. D. S. Han & H. I. Kim. (2011). Risk and communication: communication effects on social acceptance of nuclear power. Crisisonomy, 7(2), 1-22.
  14. P. Slovic. (1987). Perception of risk. Science, 236(4799), 280-285. DOI: 10.1126/science.3563507
  15. Y. A. Lee, N. K. Lee. (2005). Psychological dimensions of risk perception. Korean Journal OF Cognitive Science, 16(3), 199-211.
  16. E. Lehtonen, V. Havia, A. Kovanen, M. Leminen, & E. Saure. (2016). Evaluating bicyclists' risk perception using video clips: Comparison of frequent and infrequent city cyclists. Transportation research part F: traffic psychology and behaviour, 41, 195-203. https://doi.org/10.1016/j.trf.2015.04.006
  17. D. R. Hunter. (2002). Risk perception and risk tolerance in aircraft pilots. Washington DC : Federal Aviation Administration Washington DC Office of Aviation Medicine.
  18. H. A. Deery. (1999). Hazard and risk perception among young novice drivers. Journal of safety research, 30(4), 225-236. https://doi.org/10.1016/S0022-4375(99)00018-3
  19. S. R. Rad, G. H. de Almeida Correia & M. Hagenzieker. (2020). Pedestrians' road crossing behaviour in front of automated vehicles: Results from a pedestrian simulation experiment using agent-based modelling. Transportation Research Part F: Traffic Psychology and Behaviour, 69, 101-119. https://doi.org/10.1016/j.trf.2020.01.014
  20. K. R. Laughery & M. S. Wogalter. (1997). Warnings and risk perception. Handbook of human factors and ergonomics, 2, 1175-1197.
  21. B. S. Kim, Y. K. Min & L. Fan. (2008). Interactions of spatial, visual, auditory information in multiple information presentation: Implications for display and control design. The Korean Journal of Cognitive and Biological Psychology, 20(2), 95-107. https://doi.org/10.22172/cogbio.2008.20.2.004
  22. J. D. Lee., C. D. Wickens, Y. Liu & L. N. Boyle (2017). Designing for People: An introduction to human factors engineering. CreateSpace.
  23. H. Aras. et. al. (2009). Uncertainty and trust. Dagstuhl Seminar Proceedings. In Univ. of Illinois.
  24. K. T. Lee & M. J. Noh. (2011). Factors influencing the usage intention of social commerce: the relationship between the technology acceptance model and the consumers' perceived risk. Journal of Consumption Culture, 14(4), 165-182. DOI : 10.17053/jcc.2011.14.4.009
  25. J. Yun & M. Bae. (2012). On an adaptation of announcement sound level in white noise environment. The Institute of Electronics Engineers of Korea - Signal Processing, 49(1), 112-118.
  26. S. R. Alten. (2013). Audio in media. Nelson Education.
  27. K. S. Jo, D. S. Hwang, Y. Cho & D. J. Hur. (2007). Study of the annoyance sensitivity for the frequency band of road traffic noise. Transactions of the Korean Society for Noise and Vibration Engineering, 17(5), 398-404. https://doi.org/10.5050/KSNVN.2007.17.5.398