The Journal of
the Korean Institute of Interior Design

The Journal of
the Korean Institute of Interior Design

Bimonthly
  • ISSN : 1229-7992(Print)
  • ISSN : 2733-6832(Online)
  • KCI Accredited Journal

Editorial Office

  • Tel. +82-2-564-2598
  • Fax. +82-2-564-2599
  • E-mail. kiid@kiid.or.kr
Title An Analysis of AOI(Area of Interest) based on the Eye-Tracking Experiment according to Streetscape Elements
Authors 김주연(Kim, Ju-Yeon) ; 박준수(Park, Jun-Su)
DOI http://dx.doi.org/10.14774/JKIID.2017.26.5.065
Page pp.65-74
ISSN 12297992
Keywords Eye-Tracking ; Street Environment ; Townscape Improvement ; Area of Interest(AOI)
Abstract The purpose of this research is to analyze characteristics of street elements when pedestrians have a view in the street. The research was utilized eye-tracking experiment and two times survey before and after experiment. The experiment is composed as follows. The data collection was conducted two days period from March 30 to 31, 2017. There were 43 participants who were all male and undergraduate students. In the data recording, the stimulus image was presented 65 seconds on a 23-inch monitor. Prior to analyzing data, the images were represented into five elements of AOI(area of interest). The fixation rate was divided by a period such as 'fixation time' and 'fixation count' parameters. The results were additionally obtained by linking analysis with the area ratio of AOI, time series analysis, and questionnaire. First of all, both building signs and advertisement standing boards draws attentions in participants. From a comparison between fixation rate and survey, the data have negative perspective view. Second, the advertisement standing boards are more eye-catching than other elements regardless of AOI size. It shows the priority of elements what should be developed in the environment. Third, the pavement is rarely seen in the fixation rate. Fourth, the trees are not a long frequency but viewed as a positive element. People want to keep the natural site in the street. In summative research, this method of extracting eye movement data would be provided a foundation data for developing streetscape plan based on scientific factors.