‘Let me recommend… ’: use of digital nudges or recommender systems for overweight and obesity prevention—a scoping review protocol

Author:

Forberger SarahORCID,Reisch Lucia AORCID,van Gorp Pieter,Stahl Christoph,Christianson LaraORCID,Halimi Jihan,De Santis Karina KarolinaORCID,Malisoux LaurentORCID,de-Magistris Tiziana,Bohn TorstenORCID

Abstract

Introduction Recommender systems, digital tools providing recommendations, and digital nudges increasingly affect our lives. The combination of digital nudges and recommender systems is very attractive for its application in preventing overweight and obesity. However, linking recommender systems with personalised digital nudges has a potential yet to be fully exploited. Therefore, this study aims to conduct a scoping review to identify which digital nudges or recommender systems or their combinations have been used in obesity prevention and to map these systems according to the target population, health behaviour, system classification (eg, mechanisms for developing recommendations, delivery channels, personalisation, interconnection, used combination), and system implementation. Methods and analysis The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guideline was used to inform protocol development. The eligibility criteria are based on the PCC framework (Population: any human; Concept: recommender systems or digital nudges; Context: obesity prevention). MEDLINE, PsycINFO, Web of Science, CINHAL, Scopus, ACM Digital Library and IEEE Xplore were searched until September 2023. Primary studies with any design published in peer-reviewed academic journals and peer-reviewed conference papers will be included. Data will be extracted into a pre-developed extraction sheet. Results will be synthesised descriptively and narratively. Ethics and dissemination No ethical approval is required for the scoping review, as data will be obtained from publicly available sources. The results of this scoping review will be published in a peer-reviewed journal, presented at conferences and used to inform the co-creation process and intervention adaptation in the context of a HealthyW8 project ( www.healthyw8.eu ).

Funder

The European Union

EUROPEAN HEALTH AND DIGITAL EXECUTIVE AGENCY

Publisher

BMJ

Reference56 articles.

1. Jesse M , Jannach D . Digital nudging with recommender systems: survey and future directions. Comput Hum Behav Rep 2021;3. doi:10.1016/j.chbr.2020.100052

2. Navigating the healthcare landscape with recommendation systems: a survey of current applications and potential impact. 2023 7th International Conference on Computing Methodologies and Communication (ICCMC); 2023; IEEE,

3. Hansen HR , Werthner H . Recommender systems. 47th Hawaii International Conference on System Sciences: IEEE Computer Society; 2007:167.

4. Digital nudges and dark patterns: the angels and the archfiends of digital communication;Özdemir;Dig Schol Hum,2020

5. Leimeister JM , Brenner W , eds. Digital nudging: altering user behavior in digital environments. In: Proceedings der 13 Internationalen Tagung Wirtschaftsinformatik; 2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3