• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

低头族守护者:当你在行走或进行智能手机活动时,我们会为你留意潜在的障碍物。

Smombie Guardian: We watch for potential obstacles while you are walking and conducting smartphone activities.

机构信息

Department of Computer Engineering, Inha University, Incheon, Republic of Korea.

Department of Software and Computer Engineering, Ajou University, Suwon, Republic of Korea.

出版信息

PLoS One. 2018 Jun 26;13(6):e0197050. doi: 10.1371/journal.pone.0197050. eCollection 2018.

DOI:10.1371/journal.pone.0197050
PMID:29944656
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6019093/
Abstract

With the growing dependence on smartphones for everyday activities, a large number of pedestrians nowadays are constantly fixated on their smartphone screens, and hence are susceptible to walking off pavements or colliding with other pedestrians. Reduced attention and situational awareness can render smartphone-occupied users, or smombies, oblivious to potential risks when using their smartphones while walking or driving. In this paper, we introduce a smartphone application, called Smombie Guardian, that detects obstacles and alerts smombies as they walk while viewing their smartphone screens to prevent potential collisions. Based on a user study with 74 participants who used Smombie Guardian in a real-life scenario, we highlight the effectiveness, usefulness, and unobtrusiveness of the algorithm and Smombie Guardian in helping users to avoid potential obstacles.

摘要

随着人们日常生活对智能手机的依赖程度不断提高,现在有大量的行人总是盯着智能手机屏幕,因此容易走出人行道或与其他行人相撞。当智能手机用户在步行或开车时使用智能手机时,注意力和情境意识的降低可能会使他们忽略潜在的风险。在本文中,我们介绍了一款名为 Smombie Guardian 的智能手机应用程序,它可以在用户看手机屏幕时检测障碍物,并在他们行走时向他们发出警报,以防止潜在的碰撞。基于 74 名参与者在现实场景中使用 Smombie Guardian 的用户研究,我们强调了该算法和 Smombie Guardian 在帮助用户避免潜在障碍物方面的有效性、有用性和非干扰性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/8b45c6c0a88c/pone.0197050.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/81d570e530a6/pone.0197050.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/00366f56f4d1/pone.0197050.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/0b9cd8f2aa26/pone.0197050.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/025fec9942db/pone.0197050.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/a2ca5799570a/pone.0197050.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/620e7cad2690/pone.0197050.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/556a14baa748/pone.0197050.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/06a3839b73bf/pone.0197050.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/ec47cf458629/pone.0197050.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/f4f9e0a456b7/pone.0197050.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/8b45c6c0a88c/pone.0197050.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/81d570e530a6/pone.0197050.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/00366f56f4d1/pone.0197050.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/0b9cd8f2aa26/pone.0197050.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/025fec9942db/pone.0197050.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/a2ca5799570a/pone.0197050.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/620e7cad2690/pone.0197050.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/556a14baa748/pone.0197050.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/06a3839b73bf/pone.0197050.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/ec47cf458629/pone.0197050.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/f4f9e0a456b7/pone.0197050.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5785/6019093/8b45c6c0a88c/pone.0197050.g011.jpg

相似文献

1
Smombie Guardian: We watch for potential obstacles while you are walking and conducting smartphone activities.低头族守护者:当你在行走或进行智能手机活动时,我们会为你留意潜在的障碍物。
PLoS One. 2018 Jun 26;13(6):e0197050. doi: 10.1371/journal.pone.0197050. eCollection 2018.
2
Factors Influencing the Smartphone Usage Behavior of Pedestrians: Observational Study on "Spanish Smombies".影响行人智能手机使用行为的因素:对“西班牙低头族”的观察研究
J Med Internet Res. 2020 Aug 14;22(8):e19350. doi: 10.2196/19350.
3
Factors Influencing Pedestrian Smartphone Use and Effect of Combined Visual and Auditory Intervention on "Smombies": A Chinese Observational Study.影响行人使用智能手机的因素及视听联合干预对“低头族”的影响:一项中国观察性研究。
Int J Public Health. 2022 Jun 22;67:1604601. doi: 10.3389/ijph.2022.1604601. eCollection 2022.
4
Neck Muscular Load When Using a Smartphone While Sitting, Standing, and Walking.坐、站和行走时使用智能手机时的颈部肌肉负荷
Hum Factors. 2021 Aug;63(5):868-879. doi: 10.1177/0018720820904237. Epub 2020 Feb 11.
5
Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort.步态参数受到基于智能手机的并发活动的不同影响,这些活动具有不同程度的认知努力。
PLoS One. 2017 Oct 12;12(10):e0185825. doi: 10.1371/journal.pone.0185825. eCollection 2017.
6
The range of visual detection of ground-level cues during distracted walking: Effect of cue contrast and walking speed.分心行走时对地面线索的视觉检测范围:线索对比度和行走速度的影响。
Accid Anal Prev. 2022 Oct;176:106800. doi: 10.1016/j.aap.2022.106800. Epub 2022 Aug 12.
7
Validity of the Smombie Scale: Sensitivity and specificity in identifying pedestrian risk group.“低头族”量表的有效性:识别行人风险群体的敏感性和特异性。
Digit Health. 2024 Aug 7;10:20552076241271851. doi: 10.1177/20552076241271851. eCollection 2024 Jan-Dec.
8
The rise of the smombies and fall of the pedestrians.“低头族”的兴起与行人安全意识的下降。
Bull Am Coll Surg. 2016 Aug;101(8):71-2.
9
Validation of smartphone step count algorithm used in STARFISH smartphone application.用于STARFISH智能手机应用程序的智能手机步数计数算法的验证。
Technol Health Care. 2017 Dec 4;25(6):1157-1162. doi: 10.3233/THC-170970.
10
Willingness to use mobile application for smartphone for improving road safety.使用智能手机移动应用程序改善道路安全的意愿。
Int J Inj Contr Saf Promot. 2016;23(2):155-69. doi: 10.1080/17457300.2014.945463. Epub 2014 Aug 8.

引用本文的文献

1
Image-Acceleration Multimodal Danger Detection Model on Mobile Phone for Phone Addicts.用于手机成瘾者的手机图像加速多模态危险检测模型
Sensors (Basel). 2024 Jul 18;24(14):4654. doi: 10.3390/s24144654.
2
Hypnotised by Your Phone? Smartphone Addiction Correlates With Hypnotisability.被手机“催眠”了?智能手机成瘾与催眠易感性相关。
Front Psychiatry. 2020 Jun 25;11:578. doi: 10.3389/fpsyt.2020.00578. eCollection 2020.
3
Factors Influencing the Smartphone Usage Behavior of Pedestrians: Observational Study on "Spanish Smombies".影响行人智能手机使用行为的因素:对“西班牙低头族”的观察研究

本文引用的文献

1
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.利用深度卷积神经场从单目图像中学习深度。
IEEE Trans Pattern Anal Mach Intell. 2016 Oct;38(10):2024-39. doi: 10.1109/TPAMI.2015.2505283. Epub 2015 Dec 3.
2
Does texting while walking really affect gait in young adults?年轻人走路时发短信真的会影响步态吗?
J Neuroeng Rehabil. 2015 Sep 22;12:86. doi: 10.1186/s12984-015-0079-4.
3
Pedestrian injuries due to mobile phone use in public places.行人在公共场所因使用手机而受伤。
J Med Internet Res. 2020 Aug 14;22(8):e19350. doi: 10.2196/19350.
Accid Anal Prev. 2013 Aug;57:91-5. doi: 10.1016/j.aap.2013.03.021. Epub 2013 Apr 3.
4
Impact of social and technological distraction on pedestrian crossing behaviour: an observational study.社会和技术干扰对行人过道路行为的影响:一项观察性研究。
Inj Prev. 2013 Aug;19(4):232-7. doi: 10.1136/injuryprev-2012-040601. Epub 2012 Dec 13.
5
The development and feasibility of a web-based intervention with diaries and situational feedback via smartphone to support self-management in patients with diabetes type 2.基于网络的干预措施,结合智能手机上的日记和情境反馈,以支持 2 型糖尿病患者的自我管理:开发与可行性研究。
Diabetes Res Clin Pract. 2012 Sep;97(3):385-93. doi: 10.1016/j.diabres.2012.04.019. Epub 2012 May 10.
6
Distraction and pedestrian safety: how talking on the phone, texting, and listening to music impact crossing the street.分心与行人安全:使用手机通话、收发短信和听音乐如何影响过马路行为。
Accid Anal Prev. 2012 Mar;45(2):266-71. doi: 10.1016/j.aap.2011.07.011. Epub 2011 Aug 9.
7
Cell phones change the way we walk.手机改变了我们的行走方式。
Gait Posture. 2012 Apr;35(4):688-90. doi: 10.1016/j.gaitpost.2011.12.005. Epub 2012 Jan 5.
8
Pedestrian detection: an evaluation of the state of the art.行人检测:现状评估。
IEEE Trans Pattern Anal Mach Intell. 2012 Apr;34(4):743-61. doi: 10.1109/TPAMI.2011.155.
9
Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial.通过手机短信(txt2stop)提供戒烟支持:一项单盲、随机试验。
Lancet. 2011 Jul 2;378(9785):49-55. doi: 10.1016/S0140-6736(11)60701-0.
10
Written online situational feedback via mobile phone to support self-management of chronic widespread pain: a usability study of a Web-based intervention.通过手机提供在线情境反馈以支持慢性广泛性疼痛的自我管理:一项基于网络的干预措施的可用性研究。
BMC Musculoskelet Disord. 2011 Feb 25;12:51. doi: 10.1186/1471-2474-12-51.