LocknType: lockout task intervention for discouraging smartphone app use

Cited 41 time in webofscience Cited 41 time in scopus
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dc.contributor.authorKim, Jaejeungko
dc.contributor.authorPark, Juneyoungko
dc.contributor.authorLee, Hyunsooko
dc.contributor.authorKo, Minsamko
dc.contributor.authorLee, Uichinko
dc.date.accessioned2019-07-18T05:41:58Z-
dc.date.available2019-07-18T05:41:58Z-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.created2019-06-24-
dc.date.issued2019-05-06-
dc.identifier.citationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems , pp.1 - 12-
dc.identifier.urihttp://hdl.handle.net/10203/263441-
dc.description.abstractInstant access and gratification make it difficult for us to self-limit the use of smartphone apps. We hypothesize that a slight increase in the interaction cost of accessing an app could successfully discourage app use. We propose a proactive intervention that requests users to perform a simple lockout task (e.g., typing a fixed length number) whenever a target app is launched. We investigate how a lockout task with varying workloads (i.e., pause only without number input, 10-digit input, and 30-digit input) influence a user's decision making, by a 3-week, in-situ experiment with 40 participants. Our findings show that even the pause-only task that requires a user to press a button to proceed discouraged an average of 13.1% of app use, and the 30-digit-input task discouraged 47.5%. We derived determinants of app use and non-use decision making for a given lockout task. We further provide implications for persuasive technology design for discouraging undesired behaviors.-
dc.languageEnglish-
dc.publisherACM-
dc.titleLocknType: lockout task intervention for discouraging smartphone app use-
dc.typeConference-
dc.identifier.wosid000474467908076-
dc.identifier.scopusid2-s2.0-85067627212-
dc.type.rimsCONF-
dc.citation.beginningpage1-
dc.citation.endingpage12-
dc.citation.publicationnameProceedings of the 2019 CHI Conference on Human Factors in Computing Systems-
dc.identifier.conferencecountryUK-
dc.identifier.conferencelocationGlasgow, Scotland-
dc.identifier.doi10.1145/3290605.3300927-
dc.contributor.localauthorLee, Uichin-
dc.contributor.nonIdAuthorKim, Jaejeung-
dc.contributor.nonIdAuthorKo, Minsam-
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CS-Conference Papers(학술회의논문)
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