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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorBroek, Egon van den
dc.contributor.authorPeters, Roman
dc.date.accessioned2024-01-01T01:02:03Z
dc.date.available2024-01-01T01:02:03Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/45726
dc.description.abstractSmartphones have become ubiquitous in modern life, but the amount of time spent using them can be a source of conflict for many users. Digital-Self Control Tools (DSCT) are apps that aim to assist users in tracking and controlling their device usage, but they can be limited in their effectiveness and can sometimes cause irritation. In this paper, we propose the use of an Ambient Information System (AIS) as a novel approach to increasing awareness of screen time. For this, we combine different aspects of HCI research to design and develop the hardware and software for our AIS, based on a single-board computer, server and smartphone app. We dis- cuss related work on DSCT and AIS’, provide our own contextual research study (N = 95) and provide a user study that was conducted to evaluate the objective and subjective effectiveness of our implementation (N = 16). We observed a significant increase in screen time awareness among participants who used our system compared to those who did not (F(1,14) = 10.84, p = .0058, η2p = .4548). Furthermore, although not a significant effect, we also observed a positive trend between using our system and lower SAS-SV scores, indicating an improvement in digital well-being.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIn this paper, we propose the use of an ambient information system as a digital self-control tool and a novel approach to increasing awareness of smartphone screen time.
dc.titleIncreasing Smartphone Screen Time Awareness using an Ambient Information System
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsSmartphone use, ambient information systems, digital self-control tools, digital wellbeing
dc.subject.courseuuHuman-Computer Interaction
dc.thesis.id12950


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