A Method for Evaluating the Attractiveness of Pedestrians in a Shopping Street With Visual Saliency Map in Real and Virtual Environments
Year: 2025
Type: article
Abstract: This research aims to construct a street attractiveness evaluation method that utilizes various eye-tracking, deep learning, and image-processing technologies and to verify its validity in environments with diverse components. Specifically, we will conduct eye-tracking experiments in both real and VR environments, using the attractiveness of a shopping street for pedestrians as an example. Then, we will use the results to train a deep generative model and create a visualization method for general trends in attractiveness distribution for shopping streets. We will also consider individual differences in attractiveness and the influence of environmental differences on visual saliency.
DOI: 10.3130/aijt.31.1105
Authors: Ryo TAKAI, Takuya OKI
Institution: Institute of Science Tokyo
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411443735