Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
A behavior model for persuasive design
Proceedings of the 4th International Conference on Persuasive Technology
Tailoring persuasive health games to gamer type
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Viewing and controlling personal sensor data: what do users want?
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
Modeling gender differences in healthy eating determinants for persuasive intervention design
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
LunchTime: a slow-casual game for long-term dietary behavior change
Personal and Ubiquitous Computing
Developing culturally relevant design guidelines for encouraging healthy eating behavior
International Journal of Human-Computer Studies
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Dietary behavior and attitude play major roles in the worldwide prevalence of obesity, as weight is gained when energy intake exceeds energy expenditure. Although research has focused on designing technological interventions for healthy eating behavior, recent reviews have identified a gap in the knowledge base regarding the variables/determinants of healthy eating and the interactions between them. We developed a model of some determinants and their impact on healthy eating as a basis for designing technological interventions to promote healthy eating behavior within a target community. The main goal of this work is to understand how people adopt a healthy eating attitude, the variables influencing such attitudes, the interactions between these variables, and the degree of influence each variable exerts on healthy eating attitudes. We use fast food-related eating behavior as our case study. Our model shows that weight concern, nutrition knowledge, concern for diseases, social influence, and food choice motives predicts 65% of the variance in healthy eating attitudes, showing the suitability of the model for use in predicting healthy eating attitude. This result will inform decisions on the most effective persuasive strategy for designing interventions to promote healthy eating behavior.