Logo des Repositoriums
 

Patient Adherence and Challenges in a Weight Loss Study: Smartphone Data Stream and Gamification

dc.contributor.authorIvezić, Dijana
dc.contributor.authorKeppel, Jonas
dc.contributor.authorSchneegass, Stefan
dc.contributor.authorAmft, Oliver
dc.date.accessioned2024-08-21T11:08:41Z
dc.date.available2024-08-21T11:08:41Z
dc.date.issued2024
dc.description.abstractThis paper presents findings from our implementation of a context aware health guidance system for obese individuals, with a focus on smartphone- and smartwatch-based health monitoring and participant adherence. To aid participants in weight loss, our system utilizes data from wearables and smartphones, integrating nutrition tracking and gamification elements into a smartphone application and a web-based health dashboard for health coaches. Eight participants completed a 120-day field study to evaluate the system and examine user adherence to health monitoring and the effectiveness of gamification in a weight loss program. Data on steps, sleep, heart rate, weather, and manually logged meals were collected. Adherence varied across data types, with step counts being the most consistently collected, while sleep and heart rate data were limited due to inconsistent smartwatch usage.en
dc.identifier.doi10.18420/muc2024-mci-ws05-222
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44365
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titlePatient Adherence and Challenges in a Weight Loss Study: Smartphone Data Stream and Gamificationen
dc.typeText/Workshop Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI-WS05: AI and Health: Using Digital Twins to Foster Healthy Behavior

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
muc2024-mci-ws05-222.pdf
Größe:
427.02 KB
Format:
Adobe Portable Document Format