In-depth analysis based on the phenomenon of pedestrians entering the scene when tourists take photos: Designing interactive reminder devices

Abstract

This study aims to observe and analyze the behaviour and motivation of pedestrians who accidentally enter the camera frame when tourists are taking photos in the scenic area. Meanwhile, to enhance the photographic experience of tourists, a friendly interactive device is designed to remind pedestrians to avoid the photo-taking area. User interviews and experimental designs are used to analyze the behavioural characteristics of tourists and pedestrians during photo-taking. It is found that both tourists who are interrupted from taking photos and choose to wait silently and pedestrians who interrupt tourists from taking photos exhibit relatively obvious characteristics. Also, the experiments measured that the easiest distance to be interrupted is 2.5-3m from the photographer to the photographed person, and the easiest form of interaction to attract pedestrians' attention is ground projection and sound interaction. To solve the problem of being interrupted while taking photos, this study utilizes machine learning technology to successfully identify tourists' photo-taking actions and combines it with Arduino, Processing, madmapper to initially implement the desired interactive device design to remind pedestrians to avoid the camera frame, thereby increasing tourists' photographic experience and overall scenic area visit comfort.

Keywords: Photographing, Pedestrian Misentry, Machine Learning, Interactive Device

DOI: 10.54941/ahfe1005447