157 98

Full metadata record

DC FieldValueLanguage
dc.contributor.author한경식-
dc.date.accessioned2022-04-15T02:06:41Z-
dc.date.available2022-04-15T02:06:41Z-
dc.date.issued2020-08-
dc.identifier.citationIEEE ACCESS, v. 8, page. 153183-153191en_US
dc.identifier.issn2169-3536-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9170547-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/170022-
dc.description.abstractWith recent advancements in communication and smartphone technology, many convenient services, such as SNS, gaming, video streaming, and news, are now available to users. However, this wealth of options is disadvantageous in that it makes smartphone users smombies (i.e., users who focus on their smartphones and ignore their surroundings), which poses a safety hazard. For improving the safety of pedestrian smartphone users, attempts have been made to install traffic lights on sidewalks or warn users of approaching vehicles through mobile apps. However, the effectiveness of these smombie warning systems has not been investigated yet. In this article, we propose Smombie Forecaster, which uses inertial smartphone sensors and the BLE beacon, to detect the three most prevalent smombie settings (walkways, stairs, and crosswalks), provide relevant alerts to users, and log their compliance with these alerts. We conducted a field test with 24 participants under these three settings. The results verified the effectiveness of the proposed system; the smartphone pause time increased by 1.59 times, and the average frequency of steps taken by users decreased from 1.68 Hz to 1.47 Hz. A post-experiment survey, interviews conducted with participants of the experiment, and users' smartphone logs provide important design implications for the proposed smombie alerting system.en_US
dc.description.sponsorshipThis work was supported in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Education through the Basic Science Research Program under Grant NRF-2017M3C4A7083534, and in part by the Inha University Research Grant.en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.subjectSituational awarenessen_US
dc.subjectSmombie alerting systemen_US
dc.titleSmombie Forecaster: Alerting Smartphone Users About Potential Hazards in Their Surroundingsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2020.3017653-
dc.relation.journalIEEE ACCESS-
dc.contributor.googleauthorGoh, Hwarang-
dc.contributor.googleauthorKim, Woojeong-
dc.contributor.googleauthorHan, Jaeho-
dc.contributor.googleauthorHan, Kyungsik-
dc.contributor.googleauthorNoh, Youngtae-
dc.relation.code2020045465-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentSCHOOL OF DATA SCIENCE-
dc.identifier.pidkyungsikhan-
dc.identifier.researcherIDO-2416-2019-
dc.identifier.orcidhttps://orcid.org/0000-0001-5535-0081-


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE