Digital Nudging for Online Food Choices

Jannach, Dietmar; Gula, Bartosz

doi:10.3389/fpsyg.2021.729589

Cited by 13 publications

(1 citation statement)

References 33 publications

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“…Similarly, the first five menu items in the ‘popular menu section’ were collected on either Menulog or Deliveroo. These items were chosen as they are the most salient to consumers and may have increased likelihoods of being ordered, as the principles of nudging suggest ( 28 ) . Researchers also noted whether mid-sized food outlets had voluntarily included kJ labelling of menu items on the OFD.…”

Section: Methodsmentioning

confidence: 99%

Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis

Cassano,

Jia,

Gibson

et al. 2024

Public Health Nutr.

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Objective: It is unknown how well menu-labelling schemes that enforce the display of kilojoule (kJ) labelling at point-of-sale, has been implemented on Online Food Delivery services (OFDs) in Australia. This study aimed to examine the prevalence of kJ labelling on the online menus of large food outlets with more than 20 locations in the state or 50 locations nationally. A secondary aim was to evaluate the nutritional quality of menu items on OFDs from mid-sized outlets that have fewer locations than what is specified in the current scheme. Design: Cross-sectional analysis. Prevalence of kJ labelling by large food outlets on OFDs from August to September 2022 was examined. Proportion of discretionary (‘junk food’) items on menus from mid-sized outlets was assessed. Setting: Forty-three unique large food outlets on company (e.g. MyMacca’s) and third party OFDs (Uber Eats, Menulog, Deliveroo) within Sydney, Australia. Ninety-two mid-sized food outlets were analysed. Participants: N/A Results: On company OFD apps, 35% (7/23) had complete kJ labelling for each menu item. In comparison, only 4.8% (2/42), 5.3% (2/38) and 3.6% (1/28) of large outlets on Uber Eats, Menulog and Deliveroo had complete kJ labelling at all locations, respectively. Over three-quarters, 76.3% (345/452) of menu items from mid-sized outlets were classified as discretionary. Conclusions: Kilojoule labelling was absent or incomplete on a high proportion of online menus. Mid-sized outlets have abundant discretionary choices and yet escape criteria for mandatory menu labelling laws. Our findings show the need to further monitor the implementation of nutrition policies on OFDs.

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Section: Methodsmentioning

confidence: 99%

Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis

Cassano,

Jia,

Gibson

et al. 2024

Public Health Nutr.

View full text Add to dashboard Cite

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Understanding the user perception of digital nudging in platform interface design

Hettler,

Schumacher,

Anton

et al. 2024

Electron Commer Res

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Given the nascent understanding of user perceptions toward digital nudges in e-commerce, our study examines key factors: perceived usefulness, ease of use, trust, and privacy risks. Via an online experiment of 273 participants, we examined the influence of digital nudging interventions – social norms, defaults, and scarcity warnings – against a control group. Employing descriptive and inferential statistics, notable trust variations were found between default and scarcity warning groups versus controls. To assess these findings, we interviewed 11 information systems and psychology experts. This research enriches our understanding of digital nudges in e-commerce and provides design insights. Theoretical implications span from providing propositions in order to enhance user involvement, conducting narrative accompanying research, analyzing diverse time points of nudging. Practical implications focus on emphasizing to users their choice autonomy and the highlighting that defaults and scarcity warnings are designed to mitigate inherent heuristics and biases for combining nudging with boosting elements.

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Digitally nudging users to explore off-profile recommendations: here be dragons

Alves,

Jannach,

de Souza

et al. 2023

User Model User-Adap Inter

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In many application domains of recommender systems, e.g., on media streaming sites, one main goal of the provider of the recommendation service is to increase the engagement of users by helping them discover new types of content they like. Standard collaborative filtering algorithms by design often lead to a certain level of discovery. Nonetheless, in certain domains, it may be helpful to more actively promote content to users beyond their past preference profile (“off-profile”) and thereby help users explore new content. However, when showing such off-profile content to users in combination with more familiar content, the new content items may be overlooked. In this research, we explore to what extent digital nudging, i.e., subtly directing user choices in a specific direction, can help to raise the attention and interest of users for off-profile content. We conducted a user study ($$N=1064$$ N = 1064 ) on a real-world social book recommendation app. We find that users who are nudged towards recommended books of their non-preferred genres significantly more often put these off-profile books on their reading lists, thus confirming the effectiveness of digital nudging in this application. However, we also found that digital nudges may negatively impact the users’ beliefs and attitudes towards the system and a more limited intention to use the system in the future. As a result, we find that digital nudging in recommendations, while effective in the short run, must be done with due care, keeping an eye on the overall quality perceptions by users and potentially harmful long-term effects.

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Digital Nudging for Online Food Choices

Cited by 13 publications

References 33 publications

Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis

Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis

Understanding the user perception of digital nudging in platform interface design

Digitally nudging users to explore off-profile recommendations: here be dragons

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