Results 191 to 200 of about 11,517 (301)
Abstract This study examines the impact of soil erosion on agricultural land values in the United States (US) Midwest. Based on a novel county‐level panel data set with information on soil erosion levels and agricultural land values covering five census years (1997, 2002, 2007, 2012, and 2017), we separately investigate the direct effect of two types ...
Le Chen +3 more
wiley +1 more source
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin +5 more
wiley +1 more source
Persuasive technologies for modifying food habits: a review of mindless, reflective, and social approaches to eating behavior change. [PDF]
Rapp A.
europepmc +1 more source
Policy paper: "Nudging for better nutrition: behavioral strategies to address childhood obesity in Arab communities" policy recommendations for action. [PDF]
Suliman DM, Moonesar IA, Mohammed LAA.
europepmc +1 more source
Nudging to increase the uptake of cancer screening: scoping review of empirical studies. [PDF]
Pūce L, Silkāne V.
europepmc +1 more source
Digital Choice Architecture in Medical Education: Applying Behavioral Economics to Online Learning Environments. [PDF]
Ekstrom V.
europepmc +1 more source
Sleep‐trackers in the wild: A faceted taxonomy for information and interaction design
Abstract Consumer‐grade sleep‐tracking technologies (CSTs) have brought sleep into everyday data practices, reframing it from a clinical concern into a site of personal optimization and reflection. Yet existing taxonomies of sleep‐tracking often medicalize users and overlook the complexity of sleep‐tracking technologies. This paper presents SleepTax, a
Sanonda Datta Gupta +2 more
wiley +1 more source
Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley +1 more source

