Facilitating instant interactions for stressful experiences sharing and peer support

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dc.contributor.authorChoi, Ryuhaerangko
dc.contributor.authorYun, Chanwooko
dc.contributor.authorCho, Hyunsungko
dc.contributor.authorHong, Hwajungko
dc.contributor.authorLee, Uichinko
dc.contributor.authorLee, Sung-Juko
dc.date.accessioned2022-11-01T10:00:41Z-
dc.date.available2022-11-01T10:00:41Z-
dc.date.created2022-11-01-
dc.date.created2022-11-01-
dc.date.issued2022-06-27-
dc.identifier.citation20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022, pp.636 - 637-
dc.identifier.urihttp://hdl.handle.net/10203/299203-
dc.description.abstractWe demonstrate StressTrendmeter, a mobile app that targets college students for anonymously sharing the source of stress via the form of hashtags, viewing stress topics based on trends, and providing social support through the empathy button and hashtag-based chat.-
dc.languageEnglish-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titleFacilitating instant interactions for stressful experiences sharing and peer support-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85134046588-
dc.type.rimsCONF-
dc.citation.beginningpage636-
dc.citation.endingpage637-
dc.citation.publicationname20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationPortland, OR-
dc.identifier.doi10.1145/3498361.3538672-
dc.contributor.localauthorHong, Hwajung-
dc.contributor.localauthorLee, Uichin-
dc.contributor.localauthorLee, Sung-Ju-
dc.contributor.nonIdAuthorChoi, Ryuhaerang-
dc.contributor.nonIdAuthorYun, Chanwoo-
dc.contributor.nonIdAuthorCho, Hyunsung-
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