Eat & tell: A randomized trial of random-loss incentive to increase dietary self-tracking compliance

• Main Authors: ACHANANUPARP, Palakorn, LIM, Ee Peng, ABHISHEK, Vibhanshu, YUN, Tianjiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: food logging; health; incentives; loss aversion; quantified self; randomized controlled trial; unpredictability; Databases and Information Systems; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/4078; https://ink.library.smu.edu.sg/context/sis_research/article/5081/viewcontent/eatntell__1_.pdf
• Institution: Singapore Management University

A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, promote individuals' short-term engagement, and increase compliance in health behavior interventions. Yet, their effect...