Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 2019
DOI: 10.1145/3290605.3300927
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Cited by 72 publications
(24 citation statements)
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References 46 publications
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“…Behavioral reinforcement strategies include regulatory apps that prevent users from using smartphones (or certain apps) after a specific duration of use or make smartphone use more difficult by requiring the user to emit effortful responses to access the smartphone. Regulatory apps have been found to be effective at reducing PSU (e.g., J. Kim et al., 2019), but a noted drawback of this approach is that users may be able to disable or delete the regulatory apps.…”
mentioning
confidence: 99%
“…Behavioral reinforcement strategies include regulatory apps that prevent users from using smartphones (or certain apps) after a specific duration of use or make smartphone use more difficult by requiring the user to emit effortful responses to access the smartphone. Regulatory apps have been found to be effective at reducing PSU (e.g., J. Kim et al., 2019), but a noted drawback of this approach is that users may be able to disable or delete the regulatory apps.…”
mentioning
confidence: 99%
“…For example, GoalKeeper [34] studied users' receptivity to different lockout intensity levels and found that users were frustrated by restrictive and coercive interventions. Interaction Restraint [55] and Lock'n'Type [35] explored how cognitive tasks like typing a series of digits could help reduce users' violation of their predefined smartphone usage limit. TypeOut [78] is a more recent study combining self-affirmation [61] and just-in-time intervention [45] to further reduce the annoyance of strong lockout interventions.…”
Section: Designs For Smartphone Overuse Interventionmentioning
confidence: 99%
“…In response, there has been a wide range of research on smartphone overuse intervention techniques. Prior studies mainly focus on two directions: (i) restrictive blocking that introduces interaction barriers to encourage users to stop smartphone entertainment (e.g., [34,35,55,78]), and (ii) alerts or reminders that direct users away from smartphones and penalize overuse (e.g., [24,37,50,54]). However, blocking often becomes over-restrictive and causes a bad user experience, and some can even backfire and cause users to have more smartphone usage [34,78].…”
Section: Introductionmentioning
confidence: 99%
“…#8). Kim, Park, et al (2019) created the Lock n’ Type intervention, which required participants to enter a string of random digits on their smartphone before they could open a blacklisted apps. They tested three different variants of this intervention, which each required different lengths of random digits #11a,#11b,#11c .…”
Section: Findings and Analysismentioning
confidence: 99%