Literature DB >> 33360875

Performance of ground-level signal detection when using a phone while walking.

Eunjee Kim1, Hyorim Kim2, Yujin Kwon3, Seobin Choi4, Gwanseob Shin5.   

Abstract

Ground-level traffic lights or safety signs have been introduced recently as a prevention measure for smartphone-related pedestrian accidents. However, quantitative evaluation of smartphone users' detection performance during distracted walking has been scarce. A laboratory experiment was conducted to evaluate the performance of detecting ground-level visual cues during the concurrent use of a smartphone while walking. Thirty-eight young smartphone users performed ground-level visual cue detection trials, 1) while walking upright on a treadmill without using a smartphone; 2) when conducting one-handed browsing while walking; and, 3) when conducting two-handed texting while walking. Visual cues were presented on the ground at 24 locations by a ceiling-mounted projector, and participants were asked to respond verbally when they perceived the appearance of each cue. Study results show that the concurrent use of a smartphone decreased the detection rate significantly (p < 0.05) from 93.5 % to 76.3∼74.1 %, and increased the reaction time from 0.90 s to 1.04∼1.15 s. Among the 24 cue locations, cues that were presented closer to participants were detected significantly (p < 0.05) more often and faster than cues that were shown at further locations. The results of this laboratory-based study imply that the ground-level signals might not be detected well by smartphone users, specifically when they were conducting more demanding tasks such as texting while walking. However, the laboratory conditions were confined to a specific usage environment; therefore, future research should be focused on the situation awareness of smartphone users under various usage scenarios and more realistic environments.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attention; Distraction; In-ground traffic light; Pedestrian; Texting

Mesh:

Year:  2020        PMID: 33360875     DOI: 10.1016/j.aap.2020.105909

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  Reducing distracted pedestrian behavior using Bluetooth beacon technology: A crossover trial.

Authors:  David C Schwebel; Ragib Hasan; Russell Griffin; Raiful Hasan; Mohammad Aminul Hoque; Md Yasser Karim; Kevin Luo; Anna Johnston
Journal:  Accid Anal Prev       Date:  2021-06-11
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.